Noname Puma-Test

Dr.

Research Assistant
Institute for Systems Theory and Automatic Control

Contact

+49 711 685 99999
 +49 711 685 99999

Pfaffenwaldring 9
70569 Stuttgart
Germany
Room: X.XXX

Unchecked entries:

  1. 2020

    1. Gharbi, M. ; Ebenbauer, C.: A proximity moving horizon estimator for a class of nonlinear systems. In: International Journal of Adaptive Control and Signal Processing, Wiley Online Library (2020). — Speical Issue Article on“ Moving Horizon Estimation and New Application Perspectives“
    2. Berberich, Julian ; Köhler, Johannes ; Allgöwer, Frank ; Müller, Matthias A.: Dissipativity properties in constrained optimal control: A computational approach. In: Automatica Bd. 114 (2020), S. 108840
    3. Michalowsky, S. ; Gharesifard, B. ; Ebenbauer, C.: A Lie bracket approximation approach to distributed optimization over directed graphs. In: Automatica Bd. 112 (2020), S. 108691

  2. 2019

    1. Eisenkolb, Ina ; Jensch, Antje ; Eisenkolb, Kerstin ; Kramer, Andrei ; Buchholz, Patrick C. F. ; Pleiss, J�rgen ; Spiess, Antje ; Radde, Nicole E.: Modeling of biocatalytic reactions: A workflow for model calibration, selection, and validation using Bayesian statistics. In: AIChE Journal Bd. n/a (2019), S. e16866
    2. Allgöwer, F. ; de Sousa, J. B. ; Kapinski, J. ; Mosterman, P. ; Oehlerking, J. ; Panciatici, P. ; Prandini, M. ; Rajhans, A. ; u. a.: Position paper on the challenges posed by modern applications to cyber-physical systems theory. In: Nonlinear Analysis: Hybrid Systems Bd. 34 (2019), S. 147–165
    3. Brunner, F. D. ; Heemels, W. P. M. H. ; Allgöwer, F.: Event-triggered and self-triggered control for linear systems based on reachable sets. In: Automatica Bd. 101 (2019), S. 15–26
    4. Pfitz, F. ; Braun, M. ; Ebenbauer, C.: Relaxed Barrier MPC for Reference Tracking: Theoretical and experimental studies. In: VDI-Berichte Bd. 2349 (2019), S. 97–110
    5. Romer, A. ; Berberich, J. ; Köhler, J. ; Allgöwer, F.: One-shot verification of dissipativity properties from input-output data. In: IEEE Control Systems Letters Bd. 3 (2019), S. 709–714
    6. Wildhagen, S. ; Müller, M. A. ; Allgöwer, F.: Predictive Control over a Dynamical Token Bucket Network. In: IEEE Control Systems Letters Bd. 3 (2019), S. 21–26
    7. Linsenmayer, S. ; Dimarogonas, D. V. ; Allgöwer, F.: Periodic event-triggered control for networked control systems based on non-monotonic Lyapunov functions. In: Automatica Bd. 106 (2019), S. 35–46
    8. Köhler, J. ; Müller, M. A. ; Allgöwer, F.: Distributed model predictive control - Recursive feasibility under inexact dual optimization. In: Automatica Bd. 102, Elsevier (2019), S. 1–9
    9. Köhler, J. ; Müller, M. A. ; Allgöwer, F.: A simple framework for nonlinear robust output-feedback MPC. In: Proc. 18th European Control Conference (ECC). Naples, Italy, 2019, S. 793–798
    10. Wildhagen, S. ; Müller, M. A. ; Allgöwer, F.: Economic MPC using a Cyclic Horizon with Application to Networked Control Systems. In: Proc.\ 11th IFAC Symp.\ Nonlinear Control Systems (NOLCOS). Vienna, Austria, 2019, S. 796–801
    11. Martin, T. ; Allgöwer, F.: Nonlinearity Measures for Data-Driven System Analysis and Control. In: Proc. 58th IEEE Conference on Decision and Control (CDC). Nice, France, 2019, S. 3605–3610
    12. Berberich, J. ; Sznaier, M. ; Allgöwer, F.: Signal estimation and system identification with nonlinear dynamic sensors. In: 3rd IEEE Conference on Control Technology and Applications, 2019, S. 505–510
    13. Köhler, P. N. ; Müller, M. A. ; Allgöwer, F.: Approximate dissipativity and performance bounds for interconnected systems. In: Proc. 18th European Control Conference (ECC). Naples, Italy, 2019, S. 787–792
    14. Falk, J. ; Dürr, F. ; Linsenmayer, S. ; Wildhagen, S. ; Carabelli, B. ; Rothermel, K.: Optimal routing and scheduling of complemental flows in converged networks. In: Proc.\ 27th Int.\ Conf.\ Real-Time Networks and Systems (RTNS). Toulouse, France, 2019, S. 154–164
    15. Linsenmayer, S. ; Carbelli, B. W. ; Dürr, F. ; Falk, J. ; Allgöwer, F. ; Rothermel, K.: Integration of Communication Networks and Control Systems Using a Slotted Transmission Classification Model. In: Proc.\ 16th IEEE Annual Consumer Communications Networking Conf.\ (CCNC). Las Vegas, NV, USA, 2019, S. 1–6
    16. Gharbi, M. ; Ebenbauer, C.: A proximity moving horizon estimator based on Bregman distances and relaxed barrier functions. In: Proc.\ 18th European Control Conference (ECC). Napoli, Italy, Australia, 2019, S. 1790–1795
    17. Wenzelburger, P. ; Allgöwer, F.: A Novel Optimal Online Scheduling Scheme for Flexible Manufacturing Systems. In: 13th IFAC Workshop on Intelligent Manufacturing Systems. Oshawa, Canada, 2019, S. 1–6
    18. Wenzelburger, P. ; Allgöwer, F.: A Petri Net Modeling Framework for the Control of Flexible Manufacturing Systems. In: 9th IFAC Conference on Manufacturing Modeling, Management, and Control. Berlin, Germany, 2019, S. 492–498
    19. Halter, W. ; Michalowsky, S. ; Allgöwer, F.: Extremum seeking for optimal enzyme production under cellular fitness constraints. In: Proc.\ European Control Conf.\ (ECC). Neapel, Italien, 2019
    20. Linsenmayer, S. ; Müller, M. A. ; Ishii, H. ; Allgöwer, F.: Event-based Containability for Linear Systems with Arbitrarily Small Bit Rates. In: Proc.\ 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys). Chicago, IL, USA, 2019, S. 31–36
    21. Köhler, Johannes ; Andina, Elisa ; Soloperto, Raffaele ; Müller, Matthias A. ; Allgöwer, Frank: Linear robust adaptive model predictive control: Computational complexity and conservatism. In: Proc. 58th IEEE Conference on Decision and Control (CDC). Nice, France, 2019, S. 1383–1388
    22. Köhler, P. N. ; Müller, M. A. ; Allgöwer, F.: Graph topology and subsystem centrality in approximately dissipative system interconnections. In: Proc. 58th IEEE Conference on Decision and Control (CDC). Nice, France, 2019, S. 7441–7447
    23. Romer, Anne ; Trimpe, Sebastian ; Allgöwer, Frank: Data-driven inference of passivity properties via Gaussian process optimization. In: Proc.\ European Control Conf.\ (ECC), 2019, S. 29–35
    24. Hertneck, Michael ; Linsenmayer, Steffen ; Allgöwer, Frank: Nonlinear Dynamic Periodic Event-Triggered Control with Robustnessto Packet Loss Based on Non-Monotonic Lyapunov Functions. In: Proc. 58th IEEE Conference on Decision and Control (CDC). Nice, France, 2019, S. 1680–1685
    25. Soloperto, R. ; Köhler, J. ; Müller, M. A. ; Allgöwer, F.: Collision avoidance for uncertain nonlinear systems and moving obstacles using robust Model Predictive Control. In: Proc. 18th European Control Conference (ECC). Naples, Italy, 2019
    26. Soloperto, R. ; Köhler, J. ; Müller, M. A. ; Allgöwer, F.: Dual Adaptive MPC for output tracking of linear systems. In: Proc.\ 58th Conference on Decision and Control (CDC). Nice, France, 2019
    27. Martin, T. ; Köhler, P. N. ; Allgöwer, F.: Dissipativity and Economic Model Predictive Control for Optimal Set Operation. In: Proc.\ American Control Conf.\ (ACC). Philadelphia, USA, 2019, S. 1020–1026
    28. Gharbi, M. ; Ebenbauer, C.: Proximity moving horizon estimation for linear time-varying systems and a Bayesian filtering view. In: Proc.\ 58th Conference on Decision and Control (CDC). Nice, France, 2019, S. 3208–3213
    29. Berberich, J. ; Köhler, J. ; Müller, M. A. ; Allgöwer, F.: Data-Driven Model Predictive Control with Stability and Robustness Guarantees (2019)
    30. Linsenmayer, S. ; Allgöwer, F.: Control over Networks Using a Slotted Transmission Classication Model (2019)

  3. 2018

    1. Berberich, J. ; Dietrich, J. W. ; Hoermann, R. ; Müller, M. A.: Mathematical modeling of the pituitary-thyroid feedback loop: role of a TSH-T3-shunt and sensitivity analysis. In: Frontiers in Endocrinology (2018). — to appear
    2. Kuritz, K. ; Imig, D. ; Dyck, M. ; Allgöwer, F.: Ensemble control for cell cycle synchronization of heterogeneous cell populations. In: IFAC-PapersOnLine Bd. 51 (2018), S. 44–47. — 7th Conference on Foundation of Systems Biology in Engineering FOSBE 2018
    3. Imig, D. ; Kuritz, K. ; Pollak, N. ; Rehm, M. ; Allgöwer, F.: Death patterns resulting from cell cycle-independent cell death. In: IFAC-PapersOnLine Bd. 51 (2018), S. 90–93. — 7th Conference on Foundation of Systems Biology in Engineering FOSBE 2018
    4. Brunner, F. D. ; Müller, M. A. ; Allgöwer, F.: Enhancing Output-feedback MPC with Set-valued Moving Horizon Estimation. In: IEEE Transactions on Automatic Control Bd. 63 (2018), S. 2976–2986
    5. Köhler, J. ; Müller, M. A. ; Allgöwer, F.: Nonlinear reference tracking: An economic model predictive control perspective. In: IEEE Trans.\ Automat.\ Control Bd. 64 (2018), S. 254–269
    6. Bayer, Florian A. ; Müller, Matthias A. ; Allgöwer, Frank: On optimal system operation in robust economic MPC. In: Automatica Bd. 88 (2018), S. 98–106
    7. Danish, L. ; Imig, D. ; Allgöwer, F. ; Scheurich, P. ; Pollak, N.: Bcl-2-mediated control of TRAIL-induced apoptotic response in the non-small lung cancer cell line NCI-H460 is effective at late caspase processing steps. In: PLoS One Bd. 13 (2018)
    8. Brunner, Florian D. ; Antunes, Duarte ; Allgöwer, Frank: Stochastic thresholds in event-triggered control: A consistent policy for quadratic control. In: Automatica Bd. 89 (2018), S. 376–381
    9. Köhler, Philipp N. ; Müller, Matthias A. ; Allgöwer, Frank: A distributed economic MPC framework for cooperative control under conflicting objectives. In: Automatica Bd. 96 (2018), S. 368–379
    10. Paul, Debdas ; Radde, Nicole: The role of stochastic sequestration dynamics for intrinsic noise filtering in signaling network motifs. In: Journal of Theoretical Biology Bd. 455 (2018), S. 86–96
    11. Berberich, J. ; Köhler, J. ; Allgöwer, F. ; Müller, M. A.: Indefinite Linear Quadratic Optimal Control: Strict Dissipativity and Turnpike Properties. In: IEEE Control Systems Letters Bd. 2 (2018), S. 399–404
    12. Feiling, J. ; Zeller, A. ; Ebenbauer, C.: Derivative-Free Optimization Algorithms Based on Non-Commutative Maps. In: IEEE Control Systems Letters Bd. 2 (2018), S. 743–748
    13. Kuritz, K. ; Zeng, S. ; Allgöwer, F.: Ensemble Controllability of Cellular Oscillators. In: IEEE Control Systems Letters (2018), S. 1–6
    14. Linsenmayer, S. ; Dimarogonas, D. V. ; Allgöwer, F.: Event-Based Vehicle Coordination Using Nonlinear Unidirectional Controllers. In: IEEE Trans.\ Control of Network Systems Bd. 5 (2018), S. 1575–1584
    15. Linsenmayer, S. ; Ishii, H. ; Allgöwer, F.: Containability with event-based sampling for scalar systems with time-varying delay and uncertainty. In: IEEE Control Systems Letters Bd. 2 (2018), S. 725–730
    16. Hertneck, Michael ; Köhler, Johannes ; Trimpe, Sebastian ; Allgöwer, Frank: Learning an approximate model predictive controller with guarantees. In: IEEE Control Systems Letters Bd. 2, IEEE (2018), S. 543–548
    17. Köhler, Johannes ; Müller, Matthias A ; Allgöwer, Frank: On periodic dissipativity notions in economic model predictive control. In: IEEE Control Systems Letters Bd. 2, IEEE (2018), S. 501–506
    18. Jensch, Antje ; Frey, Yannick ; Bitschar, Katharina ; Weber, Patrick ; Schmid, Simone ; Hausser, Angelika ; Olayioye, Monilola A. ; Radde, Nicole E.: The tumor suppressor protein DLC1 maintains protein kinase D activity and Golgi secretory function. In: J.\ Biol.\ Chem. Bd. 293 (2018), S. 14407–14416
    19. Lincoln, F. A. ; Imig, D. ; Boccellato, C. ; Juric, V. ; Noonan, J. ; Kontermann, R. E. ; Allgöwer, F. ; Murphy, B. M. ; u. a.: Sensitization of glioblastoma cells to TRAIL- induced apoptosis by IAP- and Bcl-2 antagonism. In: Cell Death and Disease Bd. 9 (2018)
    20. Gharbi, M. ; Ebenbauer, C.: A Proximity Approach to Linear Moving Horizon Estimation. In: The 6th IFAC NMPC Conference, Madison, USA., 2018, S. 649�655
    21. Kuritz, K. ; Halter, W. ; Allgöwer, F.: Passivity-Based Ensemble Control for Cell Cycle Synchronization. In: Tempo, R. ; Yurkovich, S. ; Misra, P. (Hrsg.) ; Tempo, R. ; Yurkovich, S. ; Misra, P. (Hrsg.): Emerging Applications of Control and Systems Theory: A Festschrift in Honor of Mathukumalli Vidyasagar. Cham : Springer International Publishing, 2018 — ISBN 978-3-319-67068-3, S. 1–13
    22. Halter, W. ; Allgöwer, F. ; Murray, R. M. ; Gyorgy, A.: Optimal Experiment Design and Leveraging Competition for Shared Resources in Cell-Free Extracts. In: Proc.\ 57th IEEE Conf.\ Decision and Control (CDC). Miami Beach, USA, 2018
    23. Köhler, J. ; Enyioha, C. ; Allgöwer, F.: Dynamic Resource Allocation to Control Epidemic Outbreaks -A Model Predictive Control Approach. In: Proc. American Control Conf.\(ACC). Milwaukee, Wisconsin, 2018, S. 1546–1551
    24. S., Wildhagen. ; Michalowsky, S. ; Feiling, J. ; Ebenbauer, C.: Characterizing the learning dynamics in extremum seeking: The role of gradient averaging and non-convexity. In: Proc.\ 57th IEEE Conf.\ Decision and Control (CDC). Miami Beach, USA, 2018, S. 21–26
    25. Soloperto, R. ; Köhler, P. N. ; Müller, M. A. ; Allgöwer, F.: Learning-Based Robust Model Predictive Control with State-Dependent Uncertainty. In: Proc. 6th IFAC Conference on Nonlinear Model Predictive Control. Madison, Wisconsin, 2018
    26. Köhler, J. ; Müller, M. A. ; Allgöwer, F.: A novel constraint tightening approach for nonlinear robust model predictive control. In: Proc.\ American Control Conf.\ (ACC), 2018, S. 728–734
    27. Köhler, P. N. ; Müller, M. A. ; Allgöwer, F.: Interconnections of dissipative systems and distributed economic MPC. In: Proc. 6th IFAC Conference on Nonlinear Model Predictive Control. Madison, Wisconsin, 2018, S. 88–93
    28. Köhler, J. ; Müller, M. A. ; Allgöwer, F.: MPC for nonlinear periodic tracking using reference generic offine computations. In: Proc. IFAC Conf. Nonlinear Model Predictive Control (NMPC). Madison, Wisconsin, 2018, S. 656–661
    29. Romer, Anne ; Montenbruck, Jan Maximilian ; Allgöwer, Frank: Some ideas on sampling strategies for data-driven inference of passivity properties for MIMO systems. In: Proc. American Control Conference, 2018, S. 6094–6100
    30. Köhler, J. ; Müller, M. A. ; Allgöwer, F.: Nonlinear Reference Tracking with Model Predictive Control: An Intuitive Approach. In: Proc.\ European Control Conf.\ (ECC), 2018, S. 1355–1360
    31. Michalowsky, S. ; Gharesifard, B. ; Ebenbauer, C.: On the Lie bracket approximation approach to distributed optimization: Extensions and limitations. In: Proc.\European Control Conf.\ (ECC). Limassol, Cyprus, 2018, S. 119–124
    32. Linsenmayer, S. ; Allgöwer, F.: Performance oriented triggering mechanisms with guaranteed traffic characterization for linear discrete-time systems. In: Proc.\ European Control Conf.\ (ECC). Limassol, Cyprus, 2018, S. 1474–1479
    33. Knüfer, S. ; Müller, M. A.: Robust Global Exponential Stability for Moving Horizon Estimation. In: Proc.\ 57th IEEE Conf.\ Decision and Control (CDC), 2018, S. 3477–3482
    34. Romer, Anne ; Montenbruck, Jan Maximilian ; Allgöwer, Frank: Data-driven inference of conic relations via saddle-point dynamics. In: Proc.\ 9th IFAC Symp.\ Robust Control Design, 2018, S. 586–591
    35. Simon Michalowsky, Christian Ebenbauer: Verteilte Optimierung und Regelung über gerichtete Graphen: Ein neuer Ansatz mittels Lie Klammern (2018)
    36. Kuritz, K. ; Allgöwer, F.: Broadcast control of oscillating cell populations (2018)
    37. Berberich, J. ; Köhler, J. ; Allgöwer, F. ; Müller, M. A.: Indefinite linear quadratic optimal control: periodic dissipativity and turnpike properties (2018)
    38. Wolfgang Halter, Frank Allgöwer: Regelungstechnik in der Synthetischen Biologie: Konzeptionelle und experimentelle Realisierung von PID Reglern im Inneren von Zellen (2018)
    39. Linsenmayer, S. ; Allgöwer, F.: Networked Control Systems with advanced interfaces between control and communication (2018)
    40. Linsenmayer, S.: Bit rate bounds for containability of scalar systems with event-based sampling (2018)
    41. Gharbi, M. ; Ebenbauer, C.: Proximity-Moving-Horizon Sch�tzverfahren. In: Proc.\ 56th IEEE Conf.\ Decision and Control (CDC). Melbourne, Victoria, Australia (2018)
    42. Hertneck, Michael ; Köhler, Johannes ; Trimpe, Sebastian ; Allgöwer, Frank: Learning a provably safe control law by merging model predictive control with machine learning (2018)
    43. Köhler, J. ; Allgöwer, F.: Robust reference tracking with Model Predictive Control (2018)
    44. Berberich, J. ; Allgöwer, F.: A convex relaxation for learning linear dynamical systems with nonlinear sensors (2018)
    45. Kuritz, K. ; Allgöwer, F.: Therapy design by broadcast control of oscillating cell populations (2018)

  4. 2017

    1. Panchuk, A. ; Sushko, I. ; Avrutin, V.: Bifurcation Structures in a Bimodal Piecewise Linear Map. In: Front.\ Appl.\ Math.\ Stat. Bd. 3 (2017), S. 1–21
    2. Avrutin, V. ; Zhusubaliyev, Zh.T. ; Mosekilde, E.: Cascades of alternating pitchfork and flip bifurcations in H-bridge inverters. In: Physica~D Bd. 345 (2017), S. 27–39
    3. Lorenzen, Matthias ; Müller, Matthias A. ; Allgöwer, Frank: Stochastic Model Predictive Control without Terminal Constraints. In: Int.\ J.\ Robust and Nonlinear Control (2017)
    4. Lorenzen, Matthias ; Dabbene, Fabrizio ; Tempo, Roberto ; Allgöwer, Frank: Constraint-Tightening and Stability in Stochastic Model Predictive Control. In: IEEE Trans.\ Automat.\ Control Bd. 62 (2017), S. 3165–3177
    5. Houska, B. ; Müller, M. A.: Cost-to-travel functions: a new perspective on optimal and model predictive control. In: Syst.\ Contr.\ Lett. Bd. 106 (2017), S. 79–86
    6. Goebel, Gregor ; Allgöwer, Frank: New results on semi-explicit and almost explicit MPC algorithms. In: at-Automatisierungstechnik Bd. 65 (2017), S. 245–259
    7. Müller, Matthias A. ; Worthmann, Karl: Quadratic costs do not always work in MPC. In: Automatica Bd. 82 (2017), S. 269–277
    8. Avrutin, V. ; Zhusubaliyev, Zh.T. ; Saha, A. ; Banerjee, S. ; Gardini, L. ; Sushko, I.: Dangerous Bifurcations Revisited. In: Int.\ J.\ Bifurcat.\ Chaos Bd. 26 (2017), S. 1630040
    9. Thomaseth, C. ; Kuritz, K. ; Allgoewer, F. ; N., Radde: The circuit-breaking algorithm for monotone systems. In: Mathematical Biosciences Bd. 284 (2017), S. 80–91
    10. Goebel, Gregor ; Allgöwer, Frank: Semi-explicit MPC based on subspace clustering. In: Automatica Bd. 83, Elsevier (2017), S. 309–316
    11. Montenbruck, J. M. ; Arcak, M. ; Allgöwer, F.: An Input-Output Framework for Submanifold Stabilization. In: IEEE Trans.\ Automat.\ Control Bd. 62 (2017), S. 5170–5184
    12. Halter, W. ; Montenbruck, J. M. ; Tuza, Z. A. ; Allgöwer, F.: A resource dependent protein synthesis model for evaluating synthetic circuits. In: J.\ Theor.\ Biol. Bd. 420 (2017), S. 267–278
    13. Lorenzen, Matthias ; Dabbene, Fabrizio ; Tempo, Roberto ; Allgöwer, Frank: Stochastic MPC with Offline Uncertainty Sampling. In: Automatica Bd. 81 (2017), S. 176–183
    14. Kuritz, K. ; Stöhr, D. ; Pollak, N. ; Allgöwer, F.: On the relationship between cell cycle analysis with ergodic principles and age-structured cell population models. In: J.\ Theor.\ Biol. Bd. 414 (2017), S. 91–102
    15. Montenbruck, J. M. ; Zelazo, D. ; Allgöwer, F.: Fekete Points, Formation Control, and the Balancing Problem. In: IEEE Trans.\ Automat.\ Control Bd. 62 (2017), S. 5069–5081
    16. Müller, M. A. ; Allgöwer, F.: Economic and distributed model predictive control: recent developments in optimization-based control. In: SICE Journal of Control, Measurement, and System Integration Bd. 10 (2017), S. 39–52
    17. Feller, C. ; Ebenbauer, C.: Relaxed Logarithmic Barrier Function Based Model Predictive Control of Linear Systems. In: IEEE Trans.\ Automat.\ Control Bd. 62 (2017), S. 1223–1238
    18. Liu, Yuyi ; Rajappa, Sujit ; Montenbruck, Jan Maximilian ; Stegagno, Paolo ; Bülthoff, Heinrich ; Allgöwer, Frank ; Zell, Andreas: Robust nonlinear control approach to nontrivial maneuvers and obstacle avoidance for quadrotor UAV under disturbances. In: Robotics and Autonomous Systems Bd. 98 (2017), S. 317–332
    19. Avrutin, V. ; Morcillo, J.D. ; Zhusubaliyev, Zh.T. ; Angulo, F.: Bubbling in a power electronic inverter: Onset, development and detection. In: Chaos, Solitons & Fractals Bd. 104 (2017), S. 135–152
    20. Feller, C. ; Ebenbauer, C.: A stabilizing iteration scheme for model predictive control based on relaxed barrier functions. In: Automatica Bd. 80 (2017), S. 328–339
    21. Jensch, Antje ; Thomaseth, Caterina ; Radde, Nicole E.: Sampling-based Bayesian approaches reveal the importance of quasi-bistable behavior in cellular decision processes on the example of the MAPK signaling pathway in PC-12 cell lines. In: BMC Sys. Biol. Bd. 11 (2017), S. 11
    22. Müller, Matthias A.: Nonlinear moving horizon estimation in the presence of bounded disturbances. In: Automatica Bd. 79 (2017), S. 306–314
    23. Montenbruck, J. M. ; Zeng, S.: Collinear Dynamical Systems. In: Syst.\ Contr.\ Lett. Bd. 105 (2017), S. 34–43
    24. Aguiar, A. Pedro ; Bayer, Florian A. ; Hauser, John ; Häusler, Andreas J. ; Notarstefano, Giuseppe ; Pascoal, Antonio M. ; Rucco, Alessandro ; Saccon, Alessandro: Constrained Optimal Motion Planning for Autonomous Vehicles Using PRONTO. In: Fossen, T. I. ; Pettersen, K. Y. ; Nijmeijer, H. (Hrsg.) ; Fossen, T. I. ; Pettersen, K. Y. ; Nijmeijer, H. (Hrsg.): Sensing and Control for Autonomous Vehicles: Applications to Land, Water and Air Vehicles : Springer International Publishing, 2017, S. 207–226
    25. Köhler, P.N. ; Müller, M. A. ; Allgöwer, F.: Transient performance of economic model predictive control with average constraints. In: Proc.\ 56th IEEE Conf.\ Decision and Control (CDC). Melbourne, Victoria, Australia, 2017, S. 5557–5562
    26. Köhler, J. ; Müller, M. A. ; Li, Na ; Allgöwer, F.: Real Time Economic Dispatch for power networks: A Distributed Economic Model Predictive Control Approach. In: Proc.\ 56th IEEE Conf.\ Decision and Control (CDC). Melbourne, Victoria, Australia, 2017, S. 6340–6345
    27. Montenbruck, Jan Maximilian ; Allgöwer, Frank: Separable matrices and minimum complexity controllers. In: Proc.\ 56th IEEE Conf.\ Decision and Control (CDC), 2017, S. 4187–4192
    28. Gharbi, M. ; Feller, C. ; Ebenbauer, C.: A first step toward moving horizon state estimation based on relaxed logarithmic barrier functions. In: Proc.\ 56th IEEE Conf.\ Decision and Control (CDC). Melbourne, Victoria, Australia, 2017, S. 2188–2194
    29. Romer, Anne ; Montenbruck, Jan Maximilian ; Allgöwer, Frank: Determining dissipation inequalities from input-output samples. In: Proc.\ 20th IFAC World Congress, 2017, S. 7789–7794
    30. Montenbruck, J. M. ; Zeng, S.: Collinear Dynamical Systems. In: Proc.\ American Control Conf.\ (ACC). Seattle, WA, USA, 2017, S. 3920–3925
    31. Grushkovskaya, V. ; Dülrr, H.-B. ; Ebenbauer, C. ; Zuyev, A.: Extremum Seeking for Time-Varying Functions using Lie Bracket Approximations. In: Proc. 20th IFAC World Congress. Bd. 50. Toulouse, France, 2017, S. 5522–5528
    32. Köhler, P.N. ; Müller, M. A. ; Pannek, J. ; Allgöwer, F.: On Exploitation of Supply Chain Properties by Sequential Distributed MPC. In: Proc.\ of the 20th IFAC World Congress. Toulouse, France, 2017, S. 8219–8224
    33. Lorenzen, Matthias ; Allgöwer, Frank ; Cannon, Mark: Adaptive Model Predictive Control with Robust Constraint Satisfaction. In: Proc.\ of the 20th IFAC World Congress. Toulouse, France, 2017, S. 3368–3373
    34. Halter, W. ; Montenbruck, J. M. ; Allgöwer, F.: Systems with integral resource consumption. In: Proc.\ 56th IEEE Conf.\ Decision and Control (CDC). Melbourne, Australia, 2017
    35. Ebenbauer, C. ; Michalowsky, S. ; Grushkovskaya, V. ; Gharesifard, B.: Distributed Optimization over Directed Graphs with the help of Lie Brackets. In: Proc.\ 20th IFAC World Congress. Bd. 50. Toulouse, France, 2017, S. 15343–15348
    36. Linsenmayer, S. ; Allgöwer, F.: Stabilization of Networked Control Systems with weakly hard real-time dropout description. In: Proc.\ 56th IEEE Conf.\ Decision and Control (CDC). Melbourne, Australia, 2017, S. 4765–4770
    37. Halter, W. ; Tuza, Z. A. ; Allgöwer, F.: Signal differentiation with genetic networks. In: Proc.\ 20th IFAC World Congress. Toulouse, France, 2017
    38. Michalowsky, S. ; Gharesifard, B. ; Ebenbauer, C.: Distributed extremum seeking over directed graphs. In: Proc.\ 56th IEEE Conf.\ Decision and Control (CDC). Melbourne, Victoria, Australia, 2017, S. 2095–2101
    39. Linsenmayer, S. ; Blind, R. ; Allgöwer, F.: Delay-dependent data rate bounds for containability of scalar systems. In: Proc.\ of the 20th IFAC World Congress. Toulouse, France, 2017, S. 7875–7880
    40. Avrutin, V. ; Zhusubaliyev, \zh.T. ; Mosekilde, E.: Low-dimensional piecewise smooth maps with an unpredictable number of switching manifolds. In: Proc.\ 9th European Nonlinear Dynamics Conference (ENOC). Budapest, Hungary, 2017
    41. Müller, M. A. ; Grüne, L.: On the relation between dissipativity and discounted dissipativity. In: Proc.\ 56th IEEE Conf.\ Decision and Control (CDC), 2017, S. 5570–5575
    42. Zeng, Shen ; Montenbruck, Jan Maximilian ; Allgöwer, Frank: Periodic Signal Compressors. In: Proc. 20th World Congress of the International Federation of Automatic Control, 2017, S. 6649–6654
    43. Romer, Anne ; Montenbruck, Jan Maximilian ; Allgöwer, Frank: Sampling strategies for data-driven inference of passivity properties. In: Proc.\ 56th IEEE Conf.\ Decision and Control (CDC). Melbourne, Victoria, Australia, 2017, S. 6389–6394
    44. Montenbruck, J. M. ; Zeng, S. ; Allgöwer, F.: Linear Systems with Quadratic Outputs. In: Proc.\ American Control Conf.\ (ACC). Seattle, WA, USA, 2017, S. 1030–1034
    45. Carabelli, Ben W. ; Blind, Rainer ; Dürr, Frank ; Rothermel, Kurt: State-dependent priority scheduling for networked control systems. In: Proc.\ American Control Conf.\ (ACC), 2017
    46. Lorenzen, Matthias ; Müller, Matthias A. ; Allgöwer, Frank: Stabilizing Stochastic MPC without Terminal Constraints. In: Proc.\ American Control Conf.\ (ACC). Seattle, Washington, 2017, S. 5636–5641
    47. Köhler, Philipp N. ; Müller, Matthias A. ; Allgöwer, Frank: Distributed Model Predictive Control -- Coordination of interconnected systems (2017)
    48. Linsenmayer, S. ; Allgöwer, F.: Event-based sampling concepts for Networked Control Systems (2017)
    49. Imig, D. ; Pollak, N. ; Allgöwer, F.: Cell population dynamics during apoptotic treatment (2017)
    50. Linsenmayer, S. ; Allgöwer, F.: On the potential of event-based sampling for control with limited data rate (2017)
    51. Linsenmayer, S. ; Allgöwer, F.: Stability analysis and control design for weakly hard real-time systems (2017)
    52. Simon Michalowsky, Christian Ebenbauer: Distributed optimization and extremum seeking over directed graphs (2017)

  5. 2016

    1. Belopolskaya, M. ; Avrutin, V. ; Firsov, S. ; Yakovlev, A.: Potential Applications of Serum HBsAg Level Measurement in Patients with Hepatitis B and D Co-Infection. In: Gastroenterology & Hepatology Bd. 5 (2016), S. 170
    2. Ács, B. ; Szederkényi, G. ; Tuza, Zs. ; Tuza, Z. A.: Computing all possible graph structures describing linearly conjugate realizations of kinetic systems. In: Computer Physics Communications Bd. 204 (2016), S. 11–20
    3. Grüne, L. ; Müller, M. A.: On the relation between strict dissipativity and turnpike properties. In: System & Control Letters Bd. 90 (2016), S. 45–53
    4. Müller, M. A. ; Grüne, L.: Economic model predictive control without terminal constraints for optimal periodic behavior. In: Automatica Bd. 70 (2016), S. 128–139
    5. Kirch, J. ; Thomaseth, C. ; Jensch, A. ; Radde, N.: The effect of model rescaling and normalization on sensitivity analysis on an example of a MAPK pathway model. In: Eur.\ Phys.\ J.\ Nonlin.\ Biomed.\ Phys. Bd. 4 (2016)
    6. Avrutin, V. ; Zhusubaliyev, Zh.T. ; El Aroudi, A. ; Fournier-Prunaret, D. ; Garcia, G. ; Mosekilde, E.: Disrupted bandcount doubling in an AC-DC boost PFC circuit modeled by a time varying map. In: J.\ of Physics Bd. 692 (2016), S. 12003
    7. Brunner, F. D. ; Heemels, M. ; Allgöwer, F.: Robust self-triggered MPC for constrained linear systems: A tube-based approach. In: Automatica Bd. 72 (2016), S. 73–83
    8. Avrutin, V. ; Zhusubaliyev, Zh.T. ; Mosekilde, E.: Border collisions inside the stability domain of a fixed point. In: Physica~D Bd. 321-322 (2016), S. 1–15
    9. Listmann, K. D. ; Wenzelburger, P. ; Allgöwer, F.: Industrie 4.0 - (R)evolution without Control Technologies? In: J.\ of The Society of Instrument and Control Engineers Bd. 55 (2016), S. 555–565
    10. Schittler, D. ; Jouini, T. ; Allgöwer, F. ; Waldherr, S.: Multistability equivalence between gene regulatory networks of different dimensionality with application to a differentiation network. In: Int.\ J.\ Robust and Nonlinear Control (2016)
    11. Grushkovskaya, V.: On the influence of resonances on the asymptotic behavior of trajectories of nonlinear systems in critical cases. In: Nonlinear Dynamics Bd. 86 (2016), S. 587–603
    12. Bayer, F. A. ; Lorenzen, M. ; Müller, M. A. ; Allgöwer, F.: Robust Economic Model Predictive Control using Stochastic Information. In: Automatica Bd. 74 (2016), S. 151–161
    13. Radde, N. ; Hütt, M.-T.: The Physics behind Systems Biology. In: Eur.\ Phys.\ J.\ Nonlin.\ Biomed.\ Phys. Bd. 4 (2016)
    14. Seyboth, G. S. ; Ren, W. ; Allgöwer, F.: Cooperative control of linear multi-agent systems via distributed output regulation and transient synchronization. In: Automatica Bd. 68 (2016), S. 132–139
    15. Montenbruck, J. M. ; Bürger, M. ; Allgöwer, F.: Compensating Drift Vector Fields with Gradient Vector Fields for Asymptotic Submanifold Stabilization. In: IEEE Trans.\ Automat.\ Control Bd. 61 (2016), S. 388–399
    16. Montenbruck, J. M. ; Allgöwer, F.: Asymptotic Stabilization of Submanifolds Embedded in Riemannian Manifolds. In: Automatica Bd. 74 (2016), S. 349–359
    17. Grushkovskaya, V.: Asymptotic behavior of solutions of nonlinear systems with multiple imaginary eigenvalues. In: PAMM Bd. 16 (2016), S. 271–272
    18. Listmann, K. D. ; Wenzelburger, P. ; Allgöwer, F.: Industrie 4.0 - (R)evolution ohne Regelungstechnik? In: at-Automatisierungstechnik Bd. 64 (2016), S. 507–520. — Special Issue: Big Data & Automatisierung
    19. Sushko, I. ; Gardini, L. ; Avrutin, V.: Nonsmooth One-dimensional Maps: Some Basic Concepts and Definitions. In: J.\ Differ.\ Equations Appl. Bd. 22 (2016), S. 1816–1870
    20. Paul, D. ; Dehkordi Fayegh Koohi, L. ; von Scheven, M. ; Bischoff, M.: Biologically Design and Integrative Structures - Analysis, Simulation, Implementation in Architecture. In: Knippers, J. ; Nickel, K. ; Speck, T. (Hrsg.) ; Knippers, J. ; Nickel, K. ; Speck, T. (Hrsg.):  : Springer International Publishing AG, 2016
    21. Brunner, F. D ; Heemels, W. P . M. H ; Allgöwer, F.: Numerical Evaluation of a Robust Self-Triggered MPC Algorithm. In: Proc.\ 6th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys). Bd. 49. Tokyo, Japan, 2016, S. 151–156
    22. Linsenmayer, S. ; Dimarogonas, D. V. ; Allgöwer, F.: A non-monotonic approach to periodic event-triggered control with packet loss. In: Proc.\ 55th IEEE Conf.\ Decision and Control (CDC). Las Vegas, NV, USA, 2016, S. 507–512
    23. Bayer, F. A. ; Müller, M. A. ; Allgöwer, F.: Min-max Economic Model Predictive Control Approaches with Guaranteed Performance. In: Proc.\ 55th IEEE Conf.\ Decision and Control (CDC), 2016, S. 3210–3215
    24. Zeng, S. ; Ishii, H. ; Allgöwer, F.: State estimation of interconnected ensembles with anonymized outputs. In: Proc.\ 6th IFAC Workshop on Distributed Estimation and Control in Networked Systems. Tokyo, Japan, 2016
    25. Aydiner, E. ; Müller, M. A. ; Allgöwer, F.: Periodic Reference Tracking for Nonlinear Systems via Model Predictive Control. In: Proc.\ European Control Conf.\ (ECC). Aalborg, Denmark, 2016, S. 2602–2607
    26. Montenbruck, J. M. ; Allgöwer, F.: Some Problems Arising in Controller Design from Big Data via Input-Output Methods. In: Proc.\ 55th IEEE Conf.\ Decision and Control (CDC), 2016
    27. Paul, D. ; Radde, N.: Robustness and filtering properties of ubiquitous signaling network motifs. In: Proc.\ 6th Foundations of Systems Biology in Engineering (FOSBE). Magdeburg, Germany, 2016
    28. Halter, W. ; Montenbruck, J. M. ; Allgöwer, F.: Geometric stability considerations of the ribosome flow model with pool. In: Proc.\ 22nd Int.\ Symp.\ Mathematical Theory of Networks and Systems (MTNS). Minneapolis, MN, USA, 2016, S. 424–429
    29. Bayer, F. A. ; Brunner, F. D. ; Lazar, M. ; Wijnand, M. G. A. ; Allgöwer, F.: A Tube-Based Approach to Nonlinear Explicit MPC. In: Proc.\ 55th IEEE Conf.\ Decision and Control (CDC), 2016, S. 4059–4064
    30. Michalowsky, S. ; Ebenbauer, C.: Extremum control of linear systems based on output feedback. In: Proc.\55th IEEE Conf.\ Decision and Control (CDC). Las Vegas, NV, USA, 2016, S. 2963–2968
    31. Notarnicola, Ivano ; Bayer, Florian A. ; Notarstefano, Giuseppe ; Allgöwer, Frank: Final-State Constrained Optimal Control via a Projection Operator Approach. In: Proc.\ European Control Conf.\ (ECC), 2016, S. 148–153
    32. Brunner, F. D. ; Müller, M. A. ; Allgöwer, F.: Enhancing Output Feedback MPC for Linear Discrete-time Systems with Set-valued Moving Horizon Estimation. In: Proc.\ 55th IEEE Conf.\ Decision and Control (CDC). Las Vegas, NV, USA, 2016, S. 2733–2738
    33. Feller, C. ; Ouerghi, M. ; Ebenbauer, C.: Robust output feedback model predictive control based on relaxed barrier functions. In: Proc.\ 55th IEEE Conf.\ Decision and Control (CDC). Las Vegas, NV, USA, 2016, S. 1477–1483
    34. Knüfer, S. ; Müller, M. A. ; Allgöwer, F.: Stabilizing Model Predictive Control without Terminal Constraints for Switched Nonlinear Systems. In: Proc.\ 10th IFAC Symp.\ Nonlinear Control Systems (NOLCOS). Monterey, CA, USA, 2016, S. 65–70
    35. Montenbruck, J. M. ; Allgöwer, F.: Persistence of Excitation and the Feedback Theorem for Passive Systems. In: Proc.\ 10th IFAC Symp.\ Nonlinear Control Systems (NOLCOS), 2016
    36. Köhler, P. N. ; Dimarogonas, D. V.: On topological conditions to maintain leader-follower connectivity in double-integrator multi-agent systems. In: Proc.\ 24th Mediterranean Conf.\ Control and Automation (MED). Athens, Greece, 2016, S. 767–772
    37. Montenbruck, J. M. ; Zeng, S. ; Allgöwer, F.: On the Observability Properties of Systems with Rolling Shutter. In: Proc.\ 54th Annual Allerton Conf.\ on Communication, Control, and Computing, 2016
    38. Tuza, Zoltan A ; Ács, Bernadett ; Szederkényi, Gábor ; Allgöwer, Frank: Efficient Computation of All Distinct Realization Structures of Kinetic Systems. In: IFAC-PapersOnLine, Foundations of Systems Biology in Engineering - FOSBE 2016 Magdeburg, Germany. Bd. 49 : Elsevier, 2016, S. 194–200
    39. Müller, M. A.: Nonlinear moving horizon estimation for systems with bounded disturbances. In: Proc.\ American Control Conf.\ (ACC), 2016, S. 883–888
    40. Grushkovskaya, V. ; Ebenbauer, C.: Multi-Agent Coordination with Lagrangian Measurements. In: Proc. 6th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys). Tokyo, Japan, 2016, S. 115–120
    41. Michalowsky, S. ; Ebenbauer, C.: Gradient approximation and extremum seeking via needle variations. In: Proc.\ American Control Conf.\ (ACC). Boston, MA, USA, 2016, S. 6091–6096
    42. Brunner, F. D. ; Bayer, F. A. ; Allgöwer, F.: Robust Steady State Optimization for Polytopic Systems. In: Proc.\ 55th IEEE Conf.\ Decision and Control (CDC). Las Vegas, NV, USA, 2016, S. 4084–4089
    43. Köhler, P. N. ; Müller, M. A. ; Allgöwer, F.: A distributed economic MPC scheme for coordination of self-interested systems. In: Proc.\ American Control Conf.\ (ACC). Boston, MA, USA, 2016, S. 889–894
    44. Kim, J. ; Shim, H. ; Wu, J.: Distributed optimal kalman-bucy filter with guaranteed stability. In: Proc.\ 55th IEEE Conf.\ Decision and Control (CDC). Las Vegas, NV, 2016
    45. Brunner, F. D. ; Heemels, W. P. M. H. ; Allgöwer, F.: $\gamma$-Invasive Event-triggered and Self-triggered Control for Perturbed Linear Systems. In: Proc.\ 55th IEEE Conf.\ Decision and Control (CDC). Las Vegas, NV, USA, 2016, S. 1346–1351
    46. Niederländer, S. K. ; F., Allgöwer ; J., Cortés: Exponentially Fast Distributed Coordination for Nonsmooth Convex Optimization. In: Proc.\ 55th IEEE Conf.\ Decision and Control (CDC). Las Vegas, NV, USA, 2016, S. 1036–1041
    47. Montenbruck, J. M. ; Allgöwer, F.: Input-Output Control of Composite Systems. In: Proc.\ 55th IEEE Conf.\ Decision and Control (CDC), 2016
    48. Brunner, F. D ; Allgöwer, F.: A Lyapunov Function Approach to the Event-triggered Stabilization of the Minimal Robust Positively Invariant Set. In: Proc.\ 6th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys). Bd. 49. Tokyo, Japan, 2016, S. 25–30
    49. Thomaseth, C. ; Radde, N.: Normalization of Western blot data affects the statistics of estimators. In: Proc.\ 6th Foundations of Systems Biology in Engineering (FOSBE), Foundations of Systems Biology in Engineering - FOSBE 2016 Magdeburg, Germany. Bd. 26, 2016, S. 56–62
    50. Brunner, F. D. ; Heemels, W. P. M. H. ; Allgöwer, F.: Dynamic Thresholds in Robust Event-Triggered Control for Discrete-Time Linear Systems. In: Proc.\ European Control Conf.\ (ECC). Aalborg, Denmark, 2016, S. 983–988
    51. Feller, C. ; Ebenbauer, C.: Robust stability properties of MPC iteration schemes based on relaxed barrier functions. In: Proc.\ 55th IEEE Conf.\ Decision and Control (CDC). Las Vegas, NV, USA, 2016, S. 1484–1489
    52. Thomaseth, C. ; Radde, N.: Normalization of Western blot data affects the statistics of estimators (2016)
    53. Linsenmayer, S. ; Allgöwer, F.: Event-based methods in Net-CPS: An example and arising challenges (2016)
    54. Kuritz, K. ; Müller, F. ; Pollak, N. ; Allgöwer, F.: Too Young to Die: Age Structured Population Models Capture Cell Cycle Dependent Apoptosis from Snapshot Data (2016)
    55. Breindl, C: Identification, analysis and control of discrete and continuous models of gene regulation networks. Stuttgart, Germany, Institute for Systems Theory and Automatic Control, University of Stuttgart, 2016
    56. Seyboth, G. S.: On Distributed and Cooperative Control Design for Networks of Dynamical Systems. Stuttgart, Germany, Institute for Systems Theory and Automatic Control, University of Stuttgart, 2016

  6. 2015

    1. Panchuk, A. ; Sushko, I. ; Avrutin, V.: Bifurcation structures in a bimodal piecewise linear map: chaotic dynamics. In: Int.\ J.\ Bifurcat.\ Chaos Bd. 25 (2015)
    2. Sushko, I. ; Tramontana, F. ; Westerhoff, F. ; Avrutin, V.: Symmetry breaking in a bull and bear financial market model. In: Chaos, Solinons and Fractals Bd. 79 (2015), S. 57–72
    3. Müller, M. A. ; Angeli, D. ; Allgöwer, F.: On necessity and robustness of dissipativity in economic model predictive control. In: IEEE Trans.\ Automat.\ Control Bd. 60 (2015), S. 1671–1676
    4. Müller, M. A. ; Liberzon, D. ; Allgöwer, F.: Norm-controllability of nonlinear systems. In: IEEE Trans.\ Automat.\ Control Bd. 60 (2015), S. 1825–1840
    5. Avrutin, V. ; Mosekilde, E. ; Zhusubaliyev, Zh. T. ; Gardini, L: Onset of chaos in a single-phase power electronic inverter. In: Chaos Bd. 25 (2015), S. 43114
    6. Seyboth, G. ; Dimarogonas, D. V. ; Johansson, K. H. ; Frasca, P. ; Allgöwer, F.: On Robust Synchronization of Heterogeneous Linear Multi-Agent Systems with Static Couplings. In: Automatica Bd. 53 (2015), S. 392–399
    7. Weber, P. ; Hornjik, M. ; Olayioye, M. A. ; Hausser, A. ; Radde, N.: A computational model of PKD and CERT interactions at the trans-Golgi network of mammalian cells. In: BMC Sys. Biol. Bd. 9 (2015), S. 147
    8. Brunner, F. D. ; Lazar, M. ; Allgöwer, F.: Stabilizing model predictive control: On the enlargement of the terminal set. In: Int.\ J.\ Robust and Nonlinear Control Bd. 25 (2015), S. 2646–2670
    9. Avrutin, V. ; Clüver, M. ; Mahout, V. ; Fournier-Prunaret, D.: Bandcount adding structure and collapse of chaotic attractors in a piecewise linear bimodal map. In: Physica D Bd. 309 (2015), S. 37–56
    10. Avrutin, V. ; Dibak, Ch. ; Dal Forno, A. ; Merlone, U.: Dynamics of a 2D piecewise linear Braess paradox model: Effect of the third partition. In: Int. J. Bifurcat. Chaos Bd. 25 (2015), S. 1530031
    11. Montenbruck, J. M. ; Bürger, M. ; Allgöwer, F.: Practical Synchronization with Diffusive Couplings. In: Automatica Bd. 53 (2015), S. 235–243
    12. Belopolskaya, M. ; Avrutin, V. ; Firsov, S. ; Yakovlev, A.: HBsAg level and Hepatitis B viral load correlation with focus on pregnancy. In: Annals of Gastroenterology Bd. 28 (2015), S. 1–6
    13. Tramontana, F. ; Sushko, I. ; Avrutin, V.: Period adding structure in a 2D discontinuous model of economic growth. In: Applied Mathematics and Computation Bd. 253 (2015), S. 262–273
    14. Montenbruck, J. M. ; Bürger, M. ; Allgöwer, F.: Synchronization of Diffusively Coupled Systems on Compact Riemannian Manifolds in the Presence of Drift. In: Syst.\ Contr.\ Lett. Bd. 76 (2015), S. 19–27
    15. Avrutin, V. ; Schenke, B ; Gardini, L: Calculation of homoclinic and heteroclinic orbits in 1D maps. In: Communications in Nonlinear Science and Numerical Simulation Bd. 22 (2015), S. 1201–1214
    16. Montenbruck, J. M. ; Schmidt, G. S. ; Seyboth, G. S. ; Allgöwer, F.: On the Necessity of Diffusive Couplings in Linear Synchronization Problems with Quadratic Cost. In: IEEE Trans.\ Automat.\ Control Bd. 60 (2015), S. 3029–3034
    17. Imig, D. ; Pollak, N. ; Strecker, T. ; Scheurich, P. ; Allgöwer, F ; Waldherr, S.: An individual-based simulation framework for dynamic, heterogeneous cell populations during extrinsic stimulations. In: J.\ Coupled Syst.\ Multiscale Dyn. Bd. 3 (2015), S. 143–155
    18. Sushko, I. ; Avrutin, V. ; Gardini, L.: Bifurcation structure in the skew tent map and its application as a border collision normal form. In: J. of Diff. Equations and Applications (2015), S. 1–48
    19. Bürger, M. ; De Persis, C.: Dynamic Coupling Design for Nonlinear Output Agreement and Time-varying Flow Control. In: Automatica Bd. 51 (2015), S. 210–222
    20. Montenbruck, J. M. ; Dürr, H.-B. ; Ebenbauer, C. ; Allgöwer, F.: Extremum Seeking with Drift. In: Proc.\ 1st MICNON. Bd. 48. St. Petersburg, Russia, 2015, S. 126–130
    21. Goebel, G. ; Allgöwer, F.: A Simple Semi-Explicit MPC Algorithm. In: Proc.\ IFAC Conf.\ Nonlinear Model Predictive Control (NMPC). Bd. 48. Seville, Spain, 2015, S. 489–494
    22. Zeng, S. ; Allgöwer, F.: On the ensemble observability problem for nonlinear systems. In: Proc.\ 54th IEEE Conf.\ Decision and Control (CDC), 2015, S. 6318–6323
    23. Bayer, F. A. ; Müller, M. A. ; Allgöwer, F.: Average Constraints in Robust Economic Model Predictive Control. In: Proc.\ IFAC Int.\ Symp.\ Advanced Control of Chemical Processes (ADCHEM). Whistler, Britisch Columbia, Canada, 2015, S. 44–49
    24. Feller, C. ; Ebenbauer, C.: Weight recentered barrier functions and smooth polytopic terminal set formulations for linear model predictive control. In: Proc.\ American Control Conf.\ (ACC). Chicago, IL, USA, 2015, S. 1647–1652
    25. Radde, N. ; Klaus, S.: Bifurcation analysis for intracellular regulation networks based on their circuit structure. In: Proc.\ 9th IFAC Symp.\ Biological and Medical Systems. Bd. 48. Berlin, Germany, 2015, S. 165–170
    26. Linsenmayer, S. ; Dimarogonas, D. V.: Event-triggered Control for Vehicle Platooning. In: Proc.\ American Control Conf.\ (ACC). Chicago, IL, USA, 2015, S. 3101–3106
    27. Montenbruck, J. M. ; Schmidt, G. S. ; Kecskeméthy, A. ; Allgöwer, F.: Two Gradient-Based Control Laws on SE(3) Derived from Distance Functions. In: Interdisciplinary Applications of Kinematic. Bd. 2 : Springer, 2015, S. 31–41
    28. Aydiner, E. ; Brunner, F. D. ; Heemels, W. P. M. H. ; Allgöwer, F.: Robust Self-Triggered Model Predictive Control for Constrained Discrete-Time LTI Systems based on Homothetic Tubes. In: Proc.\ European Control Conf.\ (ECC). Linz, Austria, 2015, S. 1587–1593
    29. Brunner, F. D. ; Heemels, W. P. M. H. ; Allgöwer, F.: Robust Event-Triggered MPC for Constrained Linear Discrete-Time Systems with Guaranteed Average Sampling Rate. In: Proc.\ IFAC Conf.\ Nonlinear Model Predictive Control (NMPC). Bd. 48. Seville, Spain, 2015, S. 117–122
    30. Brunner, F. D. ; Gommans, T. M. P. ; Heemels, W. P. M. H. ; Allgöwer, F.: Communication Scheduling in Robust Self-Triggered MPC for Linear Discrete-Time Systems. In: Proc.\ 5th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys). Bd. 48. Philadelphia, PA, USA, 2015, S. 132–137
    31. Lorenzen, M. ; Allgöwer, F. ; Dabbene, F. ; Tempo, R.: Scenario-Based Stochastic MPC with Guaranteed Recursive Feasibility. In: Proc.\ 54th IEEE Conf.\ Decision and Control (CDC). Osaka, Japan, 2015, S. 4958–4963
    32. Montenbruck, J. M. ; Zelazo, D. ; Allgöwer, F.: Retraction Balancing and Formation Control. In: Proc.\ 54th IEEE Conf.\ Decision and Control (CDC). Osaka, Japan, 2015, S. 3645–3650
    33. Montenbruck, J. M. ; Birk, A. ; Allgöwer, F.: A Convex Conic Underestimate of Laplacian Spectra and its Application to Network Synthesis. In: Proc.\ European Control Conf.\ (ECC). Linz, Austria, 2015, S. 563–568
    34. Müller, M. A. ; Grüne, L. ; Allgöwer, F.: On the role of dissipativity in economic model predictive control. In: Proc.\ 5th IFAC Conf.\ Nonlinear Model Predictive Control (NMPC). Bd. 48, 2015, S. 110–116
    35. Montenbruck, J. M. ; Arcak, M. ; Allgöwer, F.: Stabilizing Submanifolds with Passive Input-Output Relations. In: Proc.\ 54th IEEE Conf.\ Decision and Control (CDC). Osaka, Japan, 2015, S. 4381–4387
    36. Feller, C. ; Ebenbauer, C.: Input-to-state stability properties of relaxed barrier function based MPC. In: Proc.\ IFAC Conf.\ Nonlinear Model Predictive Control (NMPC). Bd. 48. Seville, Spain, 2015, S. 302–307
    37. Montenbruck, J. M. ; Bürger, M. ; Allgöwer, F.: Navigation and Obstacle Avoidance via Backstepping for Mechanical Systems with Drift in the Closed Loop. In: Proc.\ 2015 American Control Conference. Chicago, IL, USA, 2015, S. 625–630
    38. Sun, Z. ; Seyboth, G. ; Andersion, B.D.O.: Collective control of multiple unicycle agents with non-identical constant speeds: Tracking control and performance limitation. In: Proc.\ IEEE Conf.\ Control Applications (CCA), Part of IEEE Multi-Conference on Systems and Control (MSC). Sydney, Australia, 2015, S. 1361–1366
    39. Michalowsky, S. ; Ebenbauer, C.: Model-based extremum seeking for a class of nonlinear systems. In: Proc.\ American Control Conf.\ (ACC). Chicago, IL, USA, 2015, S. 2026–2031
    40. Blind, R. ; Allgöwer, F.: Towards Networked Control Systems with Guaranteed Stability: Using Weakly Hard Real-Time Constraints to Model the Loss Process. In: Proc.\ 54th IEEE Conf.\ Decision and Control (CDC). Osaka, Japan, 2015, S. 7510–7515
    41. Halter, W. ; Kress, N. ; Otte, K. ; Reich, S. ; Hauer, B. ; Allgöwer, F.: Yield-Analysis of Different Coupling Schemes for Interconnected Bio-Reactors. In: Proc.\ SIAM Conf.\ Control and its Applications. Paris, France, 2015, S. 384–391
    42. Seyboth, G. ; Allgöwer, F.: Output Synchronization of Linear Multi-Agent Systems under Constant Disturbances via Distributed Integral Action. In: Proc.\ American Control Conf.\ (ACC). Chicago, IL, USA, 2015, S. 62–67
    43. Brunner, F. D. ; Gommans, T. M. P. ; Heemels, W. P. M. H. ; Allgöwer, F.: Resource-aware set-valued estimation for discrete-time linear systems. In: Proc.\ 54th IEEE Conf.\ Decision and Control (CDC). Osaka, Japan, 2015, S. 5480–5486
    44. Niederländer, S. K. ; Cortés, J.: Distributed Coordination for Separable Convex Optimization with Coupling Constraints. In: Proc.\ 54th IEEE Conf.\ Decision and Control (CDC). Osaka, Japan, 2015, S. 694–699
    45. Zeng, S. ; Ishii, H. ; Allgöwer, F.: Sampled Observability of Discrete Heterogeneous Ensembles from Anonymized Output Measurements. In: Proc.\ 54th IEEE Conf.\ Decision and Control (CDC), 2015, S. 5683–5688
    46. Müller, M. A. ; Grüne, L.: Economic model predictive control without terminal constraints: optimal periodic operation. In: Proc.\ 54th IEEE Conf.\ Decision and Control (CDC). Osaka, Japan, 2015, S. 4946–4951
    47. Lorenzen, M. ; Allgöwer, F. ; Dabbene, F. ; Tempo, R.: An Improved Constraint-Tightening Approach for Stochastic MPC. In: Proc.\ American Control Conf.\ (ACC). Chicago, IL, USA, 2015, S. 944–949
    48. Bayer, F. A. ; Lorenzen, M. ; Müller, M. A. ; Allgöwer, F.: Improving Performance in Robust Economic MPC Using Stochastic Information. In: Proc.\ IFAC Conf.\ Nonlinear Model Predictive Control (NMPC). Bd. 48. Seville, Spain, 2015, S. 410–415
    49. Linsenmayer, S. ; Dimarogonas, D. V. ; Allgöwer, F.: Nonlinear Event-Triggered Platooning Control with Exponential Convergence. In: Proc.\ 5th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys). Bd. 48. Philadelphia, PA, USA, 2015, S. 138–143
    50. Thomaseth, C. ; Radde, N.: Model calibration: the statistical effects of data normalization (2015)
    51. Thomaseth, C. ; Jensch, A. ; Radde, N.@ARTICLEist:thomaseth17a, author = Thomaseth, C. and Kuritz, K. and Allgoewer, F. and Radde N., title = The circuit-breaking algorithm for monotone systems, journal = Mathematical Biosciences, year = 2017, volume = 284, pages = 80-91 @ARTICLEist:thomaseth17a, author = Thomaseth, C. and Kuritz, K. and Allgoewer, F. and Radde N., title = The circuit-breaking algorithm for monotone systems, journal = Mathematical Biosciences, year = 2017, volume = 284, pages = 80-91: Positive and negative feedback-endowed pathways show robustness against biological heterogeneity and stochastic fluctuations (2015)
    52. Kuritz, K. ; Allgöwer, F.: Inferring cell-cycle dependent signalling with age-structured population models (2015)
    53. Jensch, A. ; Thomaseth, C. ; Radde, N.: Sampling-Based Analysis of Feedback in a Model of the MAP Kinase Pathway (2015)
    54. Kramer, A.: Stochastic Methods for Parameter Estimation and Design of Experiments in Systems Biology. Stuttgart, Germany, Institute for Systems Theory and Automatic Control, University of Stuttgart, 2015
    55. Dürr, H. B.: Constrained Extremum Seeking: A Lie bracket and Singular Perturbation Approach. Stuttgart, Germany, Institute for Systems Theory and Automatic Control, University of Stuttgart, 2015
    56. Schuler, S.: Controller and Network Design Exploiting System Structure. Stuttgart, Germany, Institute for Systems Theory and Automatic Control, University of Stuttgart, 2015
    57. Schittler, D.: A mathematical modeling framework to simulate and analyze cell type transitions. Stuttgart, Germany, Institute for Systems Theory and Automatic Control, University of Stuttgart, 2015
    58. Weber, P. M.: Data-driven modeling of molecular interactions at the trans-Golgi network of mammalian cells. Stuttgart, Germany, Institute for Systems Theory and Automatic Control, University of Stuttgart, 2015

  7. 2014

    1. Kramer, A. ; Stathopoulus, V. ; Girolami, M. ; Radde, N.: MCMC_CLIB: An advanced MCMC sampling package for ode models. In: Bioinformatics Bd. 30 (2014), S. 2991–2992. — doi: 10.1093/bioinformatics/btu429
    2. Kramer, A. ; Calderhead, B. ; Radde, N.: Hamiltonian Monte Carlo Methods for Efficient Parameter Estimation in Steady State Dynamical Systems. In: BMC Bioinf. Bd. 15 (2014), S. 253
    3. Avrutin, V. ; Sushko, I. ; Gardini, L.: Cyclicity of chaotic attractors in one-dimensional discontinuous maps. In: Mathematics and Computers in Simulation (Special Issue ``Discontinuous Dynamical Systems: Theory and Numerical Methods″) Bd. 95 (2014), S. 126–136
    4. Avrutin, V ; Gardini, L ; Schanz, M. ; Sushko, I.: Bifurcations of chaotic attractors in one-dimensional piecewise smooth maps. In: Int. J. Bifurcat. Chaos Bd. 24 (2014), S. 1440012
    5. Müller, M. A. ; Angeli, D. ; Allgöwer, F. ; Amrit, R. ; Rawlings, J. B.: Convergence in economic model predictive control with average constraints. In: Automatica Bd. 50 (2014), S. 3100–3111
    6. Ma, M. ; Chen, H. ; Liu, X. ; Allgöwer, F: Distributed model predictive load frequency control of multi-area interconnected power system. In: Int.\ J.\ Electrical Power & Energy Systems Bd. 62 (2014), S. 289–298
    7. Schuler, S. ; Münz, U. ; Allgöwer, F.: Decentralized state feedback control for interconnected systems with application to power systems. In: J.\ Proc.\ Contr. Bd. 24 (2014), S. 379–388
    8. Müller, M. A. ; Angeli, D. ; Allgöwer, F.: On the performance of economic model predictive control with self-tuning terminal cost. In: J.\ Proc.\ Contr. Bd. 24 (2014), S. 1179–1186
    9. Gardini, L. ; Avrutin, V. ; Sushko, I.: Codimension-2 border collision bifurcations in one-dimensional discontinuous piecewise smooth maps. In: Int. J. Bifurcat. Chaos Bd. 24 (2014), S. 1450024
    10. Radi, D. ; Gardini, L. ; Avrutin, V.: The Role of Constraints in a Segregation Model: The Asymmetric Case. In: Discrete Dynamics in Nature and Society Bd. 2014 (2014), S. Article ID 569296, 17 pages
    11. Heinrich, S. ; Geissen, E.-M. ; Kamenz, J. ; Trautmann, S. ; Widmer, C. ; Drewe, P. ; Knop, M. ; Radde, N. ; u. a.: Determinants of robustness in spindle assembly checkpoint signalling. In: Nat.\ Cell.\ Biol. Bd. 15 (2014), S. 1328–1339
    12. Dal Forno, A. ; Merlone, U. ; Avrutin, V.: Dynamics in Braess paradox with non-impulsive commuters. In: Discrete Dynamics in Nature and Society Bd. 2014 (2014), S. Article ID 345795, 13 pages
    13. Radde, N. ; Offtermatt, J.: Convergence of posteriors for structurally non-identified problems using results from the theory of inverse problems. In: J Inverse Ill-Pose P Bd. 22 (2014), S. 251–276
    14. Bürger, M. ; De Persis, C. ; Allgöwer, F.: Dynamic Pricing Control for Constrained Distribution Networks with Storage. In: IEEE Trans.\ Control of Network Systems Bd. 2 (2014), S. 88–97
    15. Löhning, M. ; Reble, M. ; Hasenauer, J. ; Yu, S. ; Allgöwer, F.: Model predictive control using reduced order models: Guaranteed stability for constrained linear systems. In: J.\ Proc.\ Contr. Bd. 24 (2014), S. 1647–1659
    16. Radi, D. ; Gardini, L. ; Avrutin, V.: The Role of Constraints in a Segregation Model: The Symmetric Case. In: Chaos, Solitons and Fractals Bd. 66 (2014), S. 103–119
    17. Avrutin, V. ; Sushko, I ; Tramontana, F.: Bifurcation structure in a bimodal piecewise linear business cycle model. In: Abstract and Applied Analysis Bd. 2014 (2014), S. Article ID 401319, 12 pages
    18. Avrutin, V. ; Eckstein, B. ; Schanz, M. ; Schenke, B.: Bandcount incrementing scenario revisited and floating regions within robust chaos. In: Mathematics and Computers in Simulation (Special Issue ``Discontinuous Dynamical Systems: Theory and Numerical Methods″) Bd. 95 (2014), S. 23–38
    19. Müller, M. A. ; Angeli, D. ; Allgöwer, F.: Transient average constraints in economic model predictive control. In: Automatica Bd. 50 (2014), S. 2943–2950
    20. Bayer, F. ; Müller, M. A. ; Allgöwer, F.: Tube-based Robust Economic Model Predictive Control. In: J.\ Proc.\ Contr. Bd. 24 (2014), S. 1237–1246
    21. Bürger, M. ; Notarstefano, G. ; Allgöwer, F.: A Polyhedral Approximation Framework for Convex and Robust Distributed Optimization. In: IEEE Transactions on Automatic Control Bd. 59 (2014), S. 384–395
    22. Seyboth, G. ; Wu, J. ; Qin, J. ; Yu, C. ; Allgöwer, F.: Collective Circular Motion of Unicycle Type Vehicles with Nonidentical Constant Velocities. In: IEEE Trans.\ Control of Network Systems Bd. 1 (2014), S. 167–176
    23. Trip, S. ; Bürger, M. ; Persis, C.: An Internal Model Approach to Frequency Regulation in Inverter-based Microgrids With Time-varying Voltages. In: Proc.\ 53rd IEEE Conf.\ Decision and Control (CDC), 2014, S. 223–228
    24. Müller, M. A. ; Allgöwer, F.: Distributed MPC for consensus and synchronization. In: Maestre, J. M. ; Negenborn, R. (Hrsg.) ; Maestre, J. M. ; Negenborn, R. (Hrsg.): Distributed MPC Made Easy : Springer Verlag, 2014, S. 89–100
    25. Haupt, A. ; Allgöwer, F. ; Blind, R. ; Chamaken, A. ; Gotzhein, R. ; Krämer, M. ; Litz, L.: Wireless Networking for Control. In: Lunze, J. (Hrsg.) ; Lunze, J. (Hrsg.): Control Theory of Digitally Networked Dynamic Systems : Springer International Publishing, 2014, S. 325–362
    26. Müller, M. A. ; Angeli, D. ; Allgöwer, F.: Performance analysis of economic MPC with self-tuning terminal cost. In: Proc.\ American Control Conf.\ (ACC). Portland, OR, USA, 2014, S. 2845–2850
    27. Michalowsky, S. ; Ebenbauer, C.: The multidimensional n-th order heavy ball method and its application to extremum seeking. In: Proc.\ 53rd IEEE Conf.\ Decision and Control (CDC). Los Angeles, CA, USA, 2014, S. 2660–2666
    28. Feller, C. ; Ebenbauer, C.: Continuous-time linear MPC algorithms based on relaxed logarithmic barrier functions. In: Proc.\ 19th IFAC World Congress. Cape Town, South Africa, 2014, S. 2481–2488
    29. Goebel, G. ; Allgöwer, F.: Increasing performance of parametrizations for linear MPC via application of a data mining algorithm. In: Proc.\ 53rd IEEE Conf.\ Decision and Control (CDC). Los Angeles, CA, USA, 2014, S. 4932–4937
    30. Schaich, R. M. ; Müller, M. A. ; Allgöwer, F.: A distributed model predictive control scheme for networks with communication failure. In: Proc.\ 19th IFAC World Congress. Cape Town, South Africa, 2014, S. 12004–12009
    31. Seyboth, G. ; Allgöwer, F.: Synchronized model matching: a novel approach to cooperative control of nonlinear multi-agent systems. In: Proc.\ 19th IFAC World Congress. Cape Town, South Africa, 2014, S. 1985–1990
    32. Bayer, F. ; Allgöwer, F.: Robust Economic Model Predictive Control with Linear Average Constraints. In: Proc.\ 53rd IEEE Conf.\ Decision and Control (CDC). Los Angeles, CA, USA, 2014, S. 6707–6712
    33. Montenbruck, J. M. ; Dürr, H.-B. ; Ebenbauer, C. ; Allgöwer, F.: Extremum Seeking and Obstacle Avoidance on the Special Orthogonal Group. In: Proc.\ 19th IFAC World Congress. Cape Town, South Africa, 2014, S. 8229–8234
    34. Goebel, G ; Allgöwer, F.: State Dependent Parametrizations for Nonlinear MPC. In: Proc.\ 19th IFAC World Congress. Cape Town, South Africa, 2014, S. 1005–1010
    35. Brunner, F. D. ; Allgöwer, F.: Approximate Predictive Control of Polytopic Systems. In: Proc.\ 19th IFAC World Congress. Cape Town, South Africa, 2014, S. 11060–11066
    36. Bürger, M. ; De Persis, C. ; Allgöwer, F.: Optimal Pricing Control in Distribution Networks With Time-varying Supply and Demand. In: Proc.\ 21st Int.\ Symp.\ Mathematical Theory of Networks and Systems (MTNS). Groningen, The Netherlands, 2014, S. 584–591
    37. Goebel, G ; Allgöwer, F.: Improved state dependent parametrizations including a piecewise linear feedback for constrained linear MPC. In: Proc.\ American Control Conf.\ (ACC). Portland, OR, USA, 2014, S. 4192–4197
    38. Bayer, F. ; Müller, M. A. ; Allgöwer, F.: Set-based Disturbance Attenuation in Economic Model Predictive Control. In: Proc.\ 19th IFAC World Congress. Cape Town, South Africa, 2014, S. 1898–1903
    39. Brunner, F. D. ; Heemels, W. P. M. H. ; Allgöwer, F.: Robust Self-Triggered MPC for Constrained Linear Systems. In: Proc.\ European Control Conf.\ (ECC). Strasbourg, France, 2014, S. 472–477
    40. Lorenzen, Matthias ; Belabbas, Mohamed-Ali: Distributed local stabilization in formation control. In: Proc.\ European Control Conf.\ (ECC). Strasbourg, France, 2014, S. 2914–2919
    41. Blind, R. ; Allgöwer, F.: On the stabilizability of continuous-time systems over a packet based communication system with loss and delay. In: Proc.\ 19th IFAC World Congress. Cape Town, South Africa, 2014, S. 6466–6471
    42. Bürger, M. ; De Persis, C.: Further Results About Dynamic Coupling for Nonlinear Output Agreement. In: Proc.\ 53rd IEEE Conf.\ Decision and Control (CDC). Los Angeles, CA, USA, 2014, S. 1353–1358
    43. Waldherr, S. ; Zeng, S. ; Allgöwer, F.: Identifiability of population models via a measure theoretical approach. In: Proc.\ 19th IFAC World Congress. Cape Town, South Africa, 2014, S. 1717–1722
    44. Zelazo, D. ; Bürger, M.: On the Definiteness of the Weighted Laplacian and its Connection to Effective Resistance. In: Proc. 53rd IEEE Conf. Decision and Control (CDC). Los Angeles, CA, USA, 2014, S. 2895–2900
    45. Feller, C. ; Ebenbauer, C.: Barrier function based linear model predictive control with polytopic terminal sets. In: Proc.\ 53rd IEEE Conf.\ Decision and Control (CDC). Los Angeles, CA, USA, 2014, S. 6683–6688
    46. Bürger, M. ; De Persis, C. ; Trip, S.: An Internal Model Approach to (Optimal) Frequency Regulation in Power Grids. In: Proc.\ 21st Int.\ Symp.\ Mathematical Theory of Networks and Systems (MTNS). Groningen, The Netherlands, 2014, S. 577–583
    47. Brunner, F. D. ; Lazar, M. ; Allgöwer, F.: Computation of piecewise affine terminal cost functions for model predictive control. In: Proc.\ 17th Int.\ Conf. Hybrid Systems: Computation and Control (HSCC). Berlin, Germany, 2014, S. 1–10
    48. Müller, M. A. ; Allgöwer, F.: Distributed economic MPC: a framework for cooperative control problems. In: Proc.\ 19th IFAC World Congress. Cape Town, South Africa, 2014, S. 1029–1034
    49. Montenbruck, J. M. ; Allgöwer, F.: Pinning Capital Stock and Gross Investment Rate in Competing Rationally Managed Firms. In: Proc.\ 19th IFAC World Congress. Cape Town, South Africa, 2014, S. 10719–10724
    50. Imig, D. ; Strecker, T. ; Pollak, N. ; Scheurich, P. ; Allgöwer, F. ; Waldherr, S.: Simulations and predictions of the response of heterogeneous cancer cell populations to apoptosis induction. (2014)
    51. Imig, D. ; Waldherr, S. ; Strecker, T. ; Neumann, S. ; Pollak, N. ; Scheurich, P. ; Allgöwer, F.: Simulations and predictions of TRAIL response in lung cancer cell populations via mathematical modeling. (2014)
    52. Kuritz, K. ; Allgöwer, F.: Determining cell-cycle induced variations from snap-shot data sets (2014)
    53. Blind, R.: Optimization of the Communication System for Networked Control Systems. Stuttgart, Germany, Institute for Systems Theory and Automatic Control, University of Stuttgart, 2014
    54. Müller, M. A.: Distributed and economic model predictive control: beyond setpoint stabilization, Institute for Systems Theory and Automatic Control, University of Stuttgart, 2014

  8. 2013

    1. Feller, C. ; Johansen, T. A. ; Olaru, S.: An improved algorithm for combinatorial multi-parametric quadratic programming. In: Automatica Bd. 49 (2013), S. 1370–1376
    2. Blind, R. ; Allgöwer, F: On the Optimization of the Transport Layer for Networked Control Systems. In: at-Automatisierungstechnik Bd. 61 (2013), S. 495–505
    3. Reble, M. ; Quevedo, D. E. ; Allgöwer, F.: Control over Erasure Channels: Stochastic Stability and Performance of Packetized Unconstrained Model Predictive Control. In: Int.\ J.\ Robust and Nonlinear Control Bd. 23 (2013), S. 1151–1167
    4. Müller, M. A. ; Angeli, D. ; Allgöwer, F.: Economic model predictive control with self-tuning terminal cost. In: European J.\ Control Bd. 19 (2013), S. 408–416
    5. Wieland, P. ; Wu, J. ; Allgöwer, F.: On synchronous steady states and internal models of diffusively coupled systems. In: IEEE Trans.\ Automat.\ Control Bd. 58 (2013), S. 2591–2602
    6. Thomaseth, C. ; Weber, P. ; Hamm, T. ; Kashima, K. ; N., Radde: Modeling sphingomyelin synthase 1 driven reaction at the Golgi apparatus can explain data by inclusion of a positive feedback mechanism. In: J.\ Theor.\ Biol. Bd. 337 (2013), S. 174–180
    7. Seyboth, G. ; Dimarogonas, D. V. ; Johansson, K. H.: Event-based Broadcasting for Multi-agent Average Consensus. In: Automatica Bd. 49 (2013), S. 245–252
    8. Krause, R. ; Allgöwer, F. ; Dimka, K. ; Leymann, F. ; Markert, B. ; Mitschang, B. ; Reimann, P. ; Reiter, M. ; u. a.: Scientific workflows for bone remodelling simulations. In: Proceedings in Applied Mathematics and Mechanics (2013)
    9. Schmidt, Gerd Simon ; Michalowsky, Simon ; Ebenbauer, Christian ; Allgöwer, Frank: Global Output Regulation for the Rotational Dynamics of a Rigid Body. In: at - Automatisierungstechnik Bd. 61 (2013), S. 567–581
    10. Schittler, D. ; Allgöwer, F. ; De Boer, R. J.: A new model to simulate and analyze proliferating cell populations in BrdU labeling experiments. In: BMC Systems Biology (Suppl.: Selected articles from the 10th International Workshop on Computational Systems Biology (WSCB) 2013) Bd. 7(Suppl 1):S4 (2013)
    11. Blind, R. ; Allgöwer, F: On Time-Triggered and Event-Based Control of Integrator Systems over a Shared Communication System. In: Mathematics of Control, Signals, and Systems Bd. 25 (2013), S. 517–557
    12. Schuler, S. ; Schlipf, D. ; Cheng, P. W. ; Allgöwer, F.: $\ell_1$-Optimal Control of Large Wind Turbines. In: IEEE Trans. Cont. Sys. Tech. Bd. 21 (2013), S. 1079–1089
    13. Bürger, M. ; Zelazo, D. ; Allgöwer, F.: Hierarchical Clustering of Dynamical Networks Using a Saddle-Point Analysis. In: IEEE Trans.\ Automat.\ Control Bd. 58 (2013), S. 113–124
    14. Dürr, H. B. ; Stankovic, M. S. ; Ebenbauer, C. ; Johansson, K. H.: Lie Bracket Approximation of Extremum Seeking Systems. In: Automatica Bd. 49 (2013), S. 1538–1552
    15. Breindl, C ; Chaves, M ; Allgöwer, F: A linear reformulation of Boolean optimization problems and structure identification of gene regulation networks. In: Proc.\ 52nd IEEE Conf.\ Decision and Control (CDC), 2013, S. 733–738
    16. Montenbruck, J. M. ; Bürger, M. ; Allgöwer, F.: Practical Cluster Synchronization of Heterogeneous Systems on Graphs with Acyclic Topology. In: Proc.\ 52nd IEEE Conf.\ on Decision and Control (CDC). Florence, Italy, 2013, S. 692–697
    17. Müller, M. A. ; Angeli, D. ; Allgöwer, F.: Economic model predictive control with transient average constraints. In: Proc.\ 52nd IEEE Conf.\ Decision and Control (CDC). Florence, Italy, 2013, S. 5119–5124
    18. Müller, M. A. ; Angeli, D. ; Allgöwer, F.: On convergence of averagely constrained economic MPC and necessity of dissipativity for optimal steady-state operation. In: Proc.\ American Control Conf.\ (ACC), 2013, S. 3147–3152
    19. Bayer, F. ; Bürger, M. ; Allgöwer, F.: Discrete-time Incremental ISS: A Framework for Robust NMPC. In: Proc.\ European Control Conf.\ (ECC). Zurich, Switzerland, 2013, S. 2068–2073
    20. Seyboth, G. ; Allgöwer, F.: Clock Synchronization over Directed Graphs. In: Proc.\ 52nd IEEE Conf.\ Decision and Control (CDC). Florence, Italy, 2013, S. 6105–6111
    21. Brunner, F. D. ; Lazar, M. ; Allgöwer, F.: An Explicit Solution to Constrained Stabilization via Polytopic Tubes. In: Proc.\ 52nd IEEE Conf.\ Decision and Control (CDC). Florence, Italy, 2013, S. 7721–7727
    22. Montenbruck, J.M. ; Seyboth, G. S. ; Allgöwer, F.: Practical and Robust Synchronization of Systems with Additive Linear Uncertainties. In: Proc.\ 9th IFAC Symp.\ Nonlinear Control Systems (NOLCOS). Toulouse, France, 2013, S. 743–748
    23. Dürr, H. B. ; Stankovic, M. S. ; Dimarogonas, D. V. ; Ebenbauer, C. ; Johansson, K. H.: Obstacle Avoidance for an Extremum Seeking System using a Navigation Function. In: Proc.\ American Control Conf.\ (ACC). Washington, D.C., USA, 2013, S. 4068–4073
    24. Goebel, G. ; Allgöwer, F.: Obtaining and employing state dependent parametrizations of prespecified complexity in constrained MPC. In: Proc.\ 52nd IEEE Conf.\ Decision and Control (CDC). Florence, Italy, 2013, S. 7077–7082
    25. Brunner, F. D. ; Lazar, M. ; Allgöwer, F.: Stabilizing Linear Model Predictive Control: On the Enlargement of the Terminal Set. In: Proc.\ European Control Conf.\ (ECC). Zurich, Switzerland, 2013, S. 511–517
    26. Schittler, D. ; Allgöwer, F. ; Waldherr, S.: Multistability equivalence between gene regulatory networks of different dimensionality. In: Proc.\ European Control Conf.\ (ECC). Zurich, Switzerland, 2013, S. 3640–3645
    27. Feller, C. ; Johansen, T. A.: Explicit MPC of higher-order linear processes via combinatorial multi-parametric programming. In: Proc.\ European Control Conf.\ (ECC). Zurich, Switzerland, 2013, S. 536–541
    28. Bürger, M. ; Notarstefano, G. ; Allgöwer, F.: From Non-cooperative to Cooperative Distributed MPC: A Simplicial Approximation Perspective. In: Proc.\ European Control Conf.\ (ECC). Zurich, Switzerland, 2013, S. 2795–2800
    29. Michalowsky, S. ; Ebenbauer, C.: Swinging up the Stephenson-Kapitza pendulum. In: Proc.\ 52nd IEEE Conf.\ Decision and Control (CDC). Florence, Italy, 2013, S. 3981–3987
    30. Blind, R. ; Allgöwer, F.: Retransmitting Lost Measurements to Improve Remote Estimation. In: Proc.\ American Control Conf.\ (ACC). Washington, D.C., USA, 2013, S. 4154–4158
    31. Schmidt, G. S. ; Ebenbauer, C. ; Allgöwer, F.: Output regulation for attitude control: a global approach. In: Proc.\ American Control Conf.\ (ACC). Washington, D.C., USA, 2013, S. 5251–5256
    32. Bürger, M. ; De Persis, C.: Internal Models for nonlinear output agreement and optimal flow control. In: Proc.\ 9th IFAC Symp.\ Nonlinear Control Systems (NOLCOS). Toulouse, France, 2013, S. 289–294
    33. Müller, M. A. ; Liberzon, D. ; Allgöwer, F.: Norm-controllability, or how a nonlinear system responds to large inputs. In: Proc.\ 9th IFAC Symp.\ Nonlinear Control Systems (NOLCOS), 2013, S. 104–109
    34. Lorenzen, M. ; Bürger, M. ; Notarstefano, G. ; Allgöwer, F.: A Distributed Solution to the Adjustable Robust Economic Dispatch Problem. In: Proc.\ 4th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), 2013, S. 75–80
    35. Bayer, F. ; Notarstefano, G. ; Allgöwer, F.: A Projected SQP Method for Nonlinear Optimal Control with Quadratic Convergence. In: Proc.\ 52nd IEEE Conf.\ Decision and Control (CDC). Florence, Italy, 2013, S. 6463–6468
    36. Bürger, M. ; D., Zelazo ; Allgöwer, F.: On the Steady-State Inverse-Optimality of Passivity-based Cooperative Control. In: Proc.\ 4th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys). Koblenz, 2013, S. 138–143
    37. Blind, R. ; Allgöwer, F: On the Joint Design of Controller and Routing for Networked Control Systems. In: Proc.\ 4th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys). Koblenz, Germany, 2013, S. 240–246
    38. Schuler, S. ; Zelazo, D. ; Allgöwer, F.: Robust Design of Sparse Relative Sensing Networks. In: Proc.\ European Control Conference (ECC). Zurich, Switzerland, 2013, S. 1860–1865
    39. Feller, C. ; Ebenbauer, C.: A barrier function based continuous-time algorithm for linear model predictive control. In: Proc.\ European Control Conf.\ (ECC). Zurich, Switzerland, 2013, S. 19–26
    40. Feller, C. ; Ebenbauer, C.: Ein zeitkontinuierlicher Optimierungsalgorithmus für die modellprädiktive Regelung linearer Systeme. In: Proc.\ 18. Steirisches Seminar über Regelungstechnik und Prozessautomatisierung. Leibnitz, Austria, 2013, S. 1–28
    41. Müller, M. A. ; Angeli, D. ; Allgöwer, F.: Economic model predictive control with self-tuning terminal weight. In: Proc.\ European Control Conf.\ (ECC). Zurich, Switzerland, 2013, S. 2044–2049
    42. Dürr, H. B. ; Zeng, C. ; Ebenbauer, C.: Saddle Point Seeking for Convex Optimization Problems. In: Proc.\ 9th IFAC Symp.\ Nonlinear Control Systems (NOLCOS). Toulouse, France, 2013, S. 540–545
    43. Kuritz, K. ; Radde, N. ; Olayioye, M.: Multi-scale modeling reveals membrane domain variations as mechanism behind augmented ErbB receptor activation (2013)
    44. Thomaseth, C. ; Weber, P. ; Hamm, T. ; Kashima, K. ; Radde, N.: Modeling sphingomyelin synthase 1 driven reaction at the Golgi apparatus can explain data by inclusion of a positive feedback mechanism (2013)
    45. Bürger, M.: Duality and Approximation Methods for Cooperative Optimization and Control. Stuttgart, Germany, Institute for Systems Theory and Automatic Control, University of Stuttgart, 2013
    46. Schmidt, G. S.: Synchronization of Oscillators and Global Output Regulation for Rigid Body Systems. Stuttgart, Germany, Institute for Systems Theory and Automatic Control, University of Stuttgart, 2013
    47. Reble, M.: Model Predictive Control for Nonlinear Continuous-Time Systems with and without Time-Delays. Stuttgart, Germany, Institute for Systems Theory and Automatic Control, University of Stuttgart, 2013
    48. Hasenauer, J.: Modeling and parameter estimation for heterogeneous cell populations. Stuttgart, Germany, Institute for Systems Theory and Automatic Control, University of Stuttgart, 2013
    49. Schittler, D. ; Jouini, T. ; Allgöwer, F. ; Waldherr, S.: Generalization of the construction method for multistability-equivalent gene regulatory networks to systems with multi-input multi-output loopbreaking : arXiv:1312.7250v2, 2013

  9. 2012

    1. Bürger, M. ; Notarstefano, G. ; Bullo, F. ; Allgöwer, F.: A distributed simplex algorithm for degenerate linear programs and multi-agent assignments. In: Automatica Bd. 48 (2012), S. 2298–2304
    2. Müller, M. A. ; Reble, M. ; Allgöwer, F.: Cooperative control of dynamically decoupled systems via distributed model predictive control. In: Int.\ J.\ Robust and Nonlinear Control Bd. 22 (2012), S. 1376–1397
    3. Reble, M. ; Allgöwer, F.: Unconstrained Model Predictive Control and Suboptimality Estimates for Nonlinear Continuous-Time Systems. In: Automatica Bd. 48 (2012), S. 1812–1817
    4. Yu, S. ; Böhm, C. ; Chen, H. ; Allgöwer, F.: Model predictive control of constrained LPV systems. In: Int.\ J.\ Control Bd. 85 (2012), S. 671–683
    5. Radde, N.: Analyzing fixed points of intracellular regulation networks with complex feedback topology. In: BMC Sys. Biol. Bd. 6 (2012)
    6. Müller, M. A. ; Dominguez-Garcia, A. D.: Fault coverage modeling in nonlinear dynamical systems. In: Automatica Bd. 48 (2012), S. 1372–1379
    7. Daub, M. ; Waldherr, S. ; Allgöwer, F. ; Scheurich, P. ; Schneider, G.: Death wins against life in a spatially extended model of the caspase-3/8 feedback loop. In: Biosystems Bd. 108 (2012), S. 45–51
    8. Böhm, C. ; Lazar, M. ; Allgöwer, F.: Stability of periodically time-varying systems: Periodic Lyapunov functions. In: Automatica Bd. 48 (2012), S. 2663–2669
    9. Hasenauer, J. ; Schittler, D. ; Allgöwer, F.: Analysis and simulation of division- and label-structured population models. In: Bulletin of Mathematical Biology Bd. 74 (2012), S. 2692–2732
    10. Weber, Patrick ; Kramer, Andrei ; Dingler, Clemens ; Radde, Nicole: Trajectory-oriented Bayesian experiment design versus Fisher A-optimal design: an in depth comparison study. In: Bioinformatics Bd. 28 (2012), S. i535–i541
    11. Hasenauer, J. ; Löhning, M. ; Khammash, M. ; Allgöwer, F.: Dynamical optimization using reduced order models: A method to guarantee performance. In: J.\ Proc.\ Contr. Bd. 22 (2012), S. 1490–1501. — available online doi: 10.1016/j.jprocont.2012.01.017
    12. Müller, M. A. ; Martius, P. ; Allgöwer, F.: Model predictive control of switched nonlinear systems under average dwell-time. In: J.\ Proc.\ Contr. Bd. 22 (2012), S. 1702–1710
    13. Müller, M. A. ; Liberzon, D.: Input/output-to-state stability and state-norm estimators for switched nonlinear systems. In: Automatica Bd. 48 (2012), S. 2029–2039
    14. Hasenauer, J. ; Heinrich, J. ; Doszczak, M. ; Scheurich, P. ; Weiskopf, D. ; Allgöwer, F.: A visual analytics approach for models of heterogeneous cell populations. In: EURASIP J.\ Bioinformatics and Systems Biology Bd. 2012 (2012), S. 4. — available online doi:10.1186/1687-4153-2012-4
    15. Müller, M. A. ; Allgöwer, F.: Improving performance in model predictive control: Switching cost functionals under average dwell-time. In: Automatica Bd. 48 (2012), S. 402–409
    16. Krause, R ; Schittler, D. ; Waldherr, S. ; Allgöwer, F. ; Markert, B. ; Ehlers, W.: Remodelling Processes in Bone: A Biphasic Porous Media Model. In: Proceedings in Applied Mathematics and Mechanics Bd. 12 (2012), S. 131–132
    17. Waldherr, S. ; Allgöwer, F. ; Jacobsen, E. W. ; Streif, S.: Robustness and adaptation of biological networks under kinetic perturbations. In: Allgöwer, F. ; Blondel, V. ; Helmke, U. (Hrsg.) ; Allgöwer, F. ; Blondel, V. ; Helmke, U. (Hrsg.): Control Theory: Mathematical Perspectives on Complex Networked Systems, Oberwolfach Reports. Oberwolfach, Germany : Mathematisches Forschungsinstitut Oberwolfach, 2012, S. 62–63
    18. Reble, M. ; Allgöwer, F.: Design of Terminal Cost Functionals and Terminal Regions for Model Predictive Control of Nonlinear Time-Delay Systems. In: Sipahi, R. ; Vyhlidal, T. ; Pepe, P. ; Niculescu, S.-I. (Hrsg.) ; Sipahi, R. ; Vyhlidal, T. ; Pepe, P. ; Niculescu, S.-I. (Hrsg.): Time Delay Systems: Methods, Applications and New Trends, Lecture Notes in Control and Information Sciences. Bd. 423 : Springer Berlin / Heidelberg, 2012, S. 355–366
    19. Dürr, H. B. ; Ebenbauer, C.: On a Class of Smooth Optimization Algorithms with Applications in Control. In: Proc.\ IFAC Conf.\ Nonlinear Model Predictive Control (NMPC). Noordwijkerhout, The Netherlands, 2012, S. 291–298
    20. Seyboth, G. ; Dimarogonas, D. V. ; Johansson, K. H. ; Allgöwer, F.: Static Diffusive Couplings in Heterogeneous Linear Networks. In: Proc.\ 3rd IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys). Santa Barbara, CA, USA, 2012, S. 258–263
    21. Müller, M. A. ; Schürmann, B. ; Allgöwer, F.: Robust cooperative control of dynamically decoupled systems via distributed MPC. In: Proc.\ IFAC Conf.\ Nonlinear Model Predictive Control (NMPC). Noordwijkerhout, The Netherlands, 2012, S. 412–417
    22. Carabelli, B. W. ; Benzing, A. ; Seyboth, G. ; Blind, R. ; Bürger, M. ; Dürr, F. ; Koldehofe, B. ; Rothermel, K. ; u. a.: Exact Convex Formulations of Network-Oriented Optimal Operator Placement. In: Proc.\ 51st IEEE Conf.\ Decision and Control (CDC). Maui, HI, USA, 2012, S. 3777–3782
    23. Bürger, M. ; Notarstefano, G. ; Allgöwer, F.: Distributed Robust Optimization via Cutting-Plane Consensus. In: Proc.\ 51st IEEE Conf.\ Decision and Control (CDC). Maui, HI, USA, 2012, S. 7457–7463
    24. Dürr, H. B. ; Saka, E. ; Ebenbauer, C.: A Smooth Vector Field for Quadratic Programming. In: Proc.\ 51st IEEE Conf.\ Decision and Control (CDC). Maui, HI, USA, 2012, S. 2515–2520
    25. Radde, N.: Identification of feedback circuits that are connected to multiple fixed points in biological networks. In: Proc.\ 8th Int.\ Workshop on Computational Systems Biology (WCSB). Ulm, Germany, 2012, S. 59–62
    26. Schmidt, G. S. ; Ebenbauer, C. ; Allgöwer, F.: A solution for a class of output regulation problems on SO(n). In: Proc.\ American Control Conf.\ (ACC). Montreal, Canada, 2012, S. 1773–1779
    27. Breindl, C. ; Chaves, M. ; Gouzé, J.L. ; Allgöwer, F.: Structure estimation for unate Boolean models of gene regulation networks. In: Proc.\ 16th IFAC Symp.\ System Identification (SYSID). Brussels, Belgium, 2012, S. 1725–1730
    28. Bayer, F. ; Hauser, J.: Trajectory Optimization for Vehicles in a Constrained Environment. In: Proc.\ 51st IEEE Conf.\ Decision and Control (CDC). Maui, HI, USA, 2012, S. 5625–5630
    29. Müller, M. A. ; Allgöwer, F.: Robustness of steady-state optimality in economic model predictive control. In: Proc.\ 51st IEEE Conf.\ Decision and Control (CDC). Maui, HI, USA, 2012, S. 1011–1016
    30. Waldherr, S. ; Hasenauer, J. ; Allgöwer, F.: Set based uncertainty analysis and parameter estimation of biological networks with the BioSDP toolbox. In: Proc.\ 9th Int.\ Workshop on Computational Systems Biology (WCSB). Ulm, Germany, 2012
    31. Reble, M. ; Quevedo, D. E. ; Allgöwer, F.: Improved Stability Conditions for Unconstrained Nonlinear Model Predictive Control by using Additional Weighting Terms. In: Proc.\ 51st IEEE Conf.\ Decision and Control (CDC). Maui, HI, USA, 2012, S. 2625–2630
    32. Bürger, M. ; Zelazo, D. ; Allgöwer, F.: Combinatorial Insights and Robustness Analysis for Clustering in Dynamical Networks. In: Proc.\ American Control Conf.\ (ACC). Montreal, Canada, 2012, S. 454–459
    33. Müller, M. A. ; Liberzon, D. ; Allgöwer, F.: Relaxed conditions for norm-controllability of nonlinear systems. In: Proc.\ 51st IEEE Conf.\ Decision and Control (CDC). Maui, HI, USA, 2012, S. 314–319
    34. Schuler, S. ; Münz, U. ; Allgöwer, F.: Decentralized State Feedback Control for Interconnected Process Systems. In: Proc.\ 8th IFAC Symposium on Advanced Control of Chemical Processes (AdChem). Singapore, 2012, S. 1–10
    35. Feller, C. ; Johansen, T. A. ; Olaru, S.: Combinatorial multi-parametric quadratic programming with saturation matrix based pruning. In: Proc.\ 51st IEEE Conf.\ Decision and Control (CDC). Maui, HI, USA, 2012, S. 4562–4567
    36. Seyboth, G. ; Schmidt, G. S. ; Allgöwer, F.: Output Synchronization of Linear Parameter-varying Systems via Dynamic Couplings. In: Proc.\ 51st IEEE Conf.\ Decision and Control (CDC). Maui, HI, USA, 2012, S. 5128–5133
    37. Blind, R. ; Allgöwer, F.: The Performance of Event-Based Control for Scalar Systems with Packet Losses. In: Proc.\ 51th IEEE Conf.\ Decision and Control (CDC). Maui, HI, USA, 2012, S. 6572–6576
    38. Seyboth, G. ; Schmidt, G. S. ; Allgöwer, F.: Cooperative Control of Linear Parameter-Varying Systems. In: Proc.\ American Control Conf.\ (ACC). Montreal, Canada, 2012, S. 2407–2412
    39. Brunner, F. D. ; Dürr, H. B. ; Ebenbauer, C.: Feedback Design for Multi-Agent Systems: A Saddle Point Approach. In: Proc.\ 51st IEEE Conf.\ Decision and Control (CDC). Maui, HI, USA, 2012, S. 3783–3789
    40. Schuler, S. ; Zelazo, D. ; Allgöwer, F.: Design of Sparse Relative Sensing Networks. In: Proc.\ 51st IEEE Conf.\ Decision and Control (CDC). Maui, HI, USA, 2012, S. 2749–2754
    41. Blind, R. ; Allgöwer, F.: Is it Worth to Retransmit Lost Packets in Networked Control Systems? In: Proc.\ 51th IEEE Conf.\ Decision and Control (CDC). Maui, HI, USA, 2012, S. 1368–1373
    42. Schittler, D. ; Hasenauer, J. ; Allgöwer, F.: A model for proliferating cell populations that accounts for cell types. In: Larjo, A. ; Schober, S. ; Farhan, M. ; Bossert, M. ; Yli-Harja, O. (Hrsg.) ; Larjo, A. ; Schober, S. ; Farhan, M. ; Bossert, M. ; Yli-Harja, O. (Hrsg.): Proc.\ 9th Int.\ Workshop on Computational Systems Biology (WCSB), TICSP series \# 61. Ulm, Germany : Tampere International Center for Signal Processing, 2012, S. 84–87
    43. Reble, M. ; Quevedo, D. E. ; Allgöwer, F.: A Unifying Framework for Stability in MPC using a Generalized Integral Terminal Cost. In: Proc.\ American Control Conf.\ (ACC). Montreal, Canada, 2012, S. 1211–1216
    44. Schittler, D. ; Vacun, G. ; Walles, H. ; Hansmann, J. ; Allgöwer, F. ; Waldherr, S.: Towards a dynamical model of gene regulation in mesenchymal stem cell differentiation (2012)
    45. Perfahl, H. ; Bronikowski, A. ; Doszczak, M. ; Scheurich, P. ; Reuss, M.: Multiscale Modelling of TRAIL Therapy Applied to Multicellular Spheroids (2012). — Conference of Systems Biology of Mammalian Cells (SBMC)
    46. Perfahl, H. ; Owen, M. R. ; Alarcon, T. ; Maini, P. K. ; Byrne, H. M. ; Reuss, M.: 3D Modelling of Vascular Network Formation by an Overlapping-Sphere Approach (2012). — CMMB-Conference: Multiscale Modelling in Medicine and Biology
    47. Waldherr, S. ; Buschow, R. ; Isensee, J. ; Allgöwer, F. ; Hucho, T.: Cellular heterogeneity in neuronal pain sensing (2012)

  10. 2011

    1. Münz, U. ; Papachristodoulou, A. ; Allgöwer, F.: Robust Consensus Controller Design for Nonlinear Relative Degree Two Multi-Agent Systems With Communication Constraints. In: IEEE Trans.\ Autom.\ Control Bd. 56 (2011), S. 145–151
    2. Münz, U. ; Papachristodoulou, A. ; Allgöwer, F.: Consensus in Multi-Agent Systems with Coupling Delays and Switching Topology. In: IEEE Trans.\ Autom.\ Control Bd. 56 (2011), S. 2976–2982
    3. Krause, R. ; Schittler, D. ; Reiter, M. ; Waldherr, S. ; Allgöwer, F. ; Karastoyanova, D. ; Leymann, F. ; Markert, B. ; u. a.: Bone remodelling: A combined biomechanical and systems-biological challenge. In: PAMM Bd. 11 (2011), S. 99–100
    4. Hasenauer, J. ; Waldherr, S. ; Doszczak, M. ; Radde, N. ; Scheurich, P. ; Allgöwer, F.: Analysis of heterogeneous cell populations: A density-based modeling and identification framework. In: J.\ Proc.\ Contr. Bd. 21 (2011), S. 1417–1425
    5. Breindl, C. ; Waldherr, S. ; Wittmann, D.M. ; Theis, F.J. ; Allgöwer, F.: Steady state robustness of qualitative gene regulation networks. In: Int.\ J.\ Robust and Nonlinear Control Bd. 21 (2011), S. 1742–1758
    6. Couchman, I. ; Kerrigan, E. ; Böhm, C.: Model reduction of homogeneous-in-the-state bilinear systems with input constraints. In: Automatica Bd. 47 (2011), S. 761–768
    7. Hasenauer, J. ; Waldherr, S. ; Doszczak, M. ; Radde, N. ; Scheurich, P. ; Allgöwer, F.: Identification of models of heterogeneous cell populations from population snapshot data. In: BMC Bioinf. Bd. 12 (2011), S. 125
    8. Goebel, G. ; Münz, U. ; Allgöwer, F.: $L_2$-Gain-based controller design for linear systems with distributed input delay. In: IMA J.\ of Mathematical Control and Information Bd. 28 (2011), S. 225–237
    9. Waldherr, S. ; Dylus, D. ; Allgöwer, F.: Bifurcation search via feedback loop breaking in biochemical signaling pathways with time delay. In: Asian J.\ Control Bd. 13 (2011), S. 691–700
    10. Waldherr, S. ; Allgöwer, F.: Robust stability and instability of biochemical networks with parametric uncertainty. In: Automatica Bd. 47 (2011), S. 1139–1146
    11. Schmidt, K. ; Breindl, C.: Maximally Permissive Hierarchical Control of Decentralized Discrete Event Systems. In: IEEE Trans.\ Autom.\ Control Bd. 56 (2011), S. 723–737
    12. Radde, N.: The role of feedback mechanisms in biological network models - A tutorial. In: Asian J.\ Control Bd. 13 (2011), S. 1–14
    13. Wieland, P. ; Sepulchre, R. ; Allgöwer, F.: An internal model principle is necessary and sufficient for linear output synchronization. In: Automatica Bd. 47 (2011), S. 1068–1074
    14. Reble, M. ; Esfanjani, R. M. ; Nikravesh, S. K. Y. ; Allgöwer, F.: Model Predictive Control of Constrained Nonlinear Time-Delay Systems. In: IMA J.\ of Mathematical Control and Information Bd. 28 (2011), S. 183–201
    15. Steuer, R. ; Waldherr, S. ; Sourjik, V. ; Kollmann, M.: Robust Signal Processing in Living Cells. In: PLoS Comp. Biol. Bd. 7 (2011), S. e1002218. — doi:10.1371/journal.pcbi.1002218
    16. Schuler, S. ; Li, P. ; Lam, J. ; Allgöwer, F.: Design of Structured Dynamic Output Feedback Controllers for Interconnected Systems. In: Int.\ J.\ Control Bd. 84 (2011), S. 2081–2091
    17. Schliemann, M. ; Bullinger, E. ; Borchers, E. ; Allgöwer, F. ; Findeisen, R. ; Scheurich, P.: Heterogeneity Reduces Sensitivity of Cell Death for TNF-Stimuli. In: BMC Sys. Biol. Bd. 5 (2011), S. 204
    18. Maier, C. ; Böhm, C. ; Deroo, F. ; Allgöwer, F.: Predictive Control for Polynomial Systems Subject to State and Input Constraints. In: at-Automatisierungstechnik Bd. 59 (2011), S. 479–488
    19. Waldherr, S. ; Hasenauer, J. ; Doszczak, M. ; Scheurich, P. ; Allgöwer, F.: Global uncertainty analysis for a model of TNF-induced NF-$\kappa$B signalling. In: Levine, J. ; Müllhaupt, P. (Hrsg.) ; Levine, J. ; Müllhaupt, P. (Hrsg.): Advances in the Theory of Control, Signals and Systems with Physical Modeling, Lecture Notes in Control and Information Sciences. Bd. 407 : Springer Berlin / Heidelberg, 2011, S. 365–377
    20. Müller, M. A. ; Allgöwer, F.: Model predictive control of switched nonlinear systems under average dwell-time. In: Proc.\ American Control Conf.\ (ACC). San Francisco, CA, USA, 2011, S. 5169–5174
    21. Briegel, B. ; Zelazo, D. ; Bürger, M. ; Allgöwer, F.: On the Zeros of Consensus Networks. In: Proc.\ 50th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC). Orlando, FL, USA, 2011, S. 1890–1895
    22. Reble, M. ; Brunner, F. D. ; Allgöwer, F.: Model Predictive Control for Nonlinear Time-Delay Systems without Terminal Constraint. In: Proc.\ 18th IFAC World Congress. Milano, Italy, 2011, S. 9254–9259
    23. Müller, M. A. ; Reble, M. ; Allgöwer, F.: A general distributed MPC framework for cooperative control. In: Proc.\ 18th IFAC World Congress. Milano, Italy, 2011, S. 7987–7992
    24. Deroo, F. ; Maier, C. ; Böhm, C. ; Allgöwer, F.: Offline NMPC for continuous-time systems using sum of squares. In: Proc.\ American Control Conf.\ (ACC). San Francisco, CA, USA, 2011, S. 5163–5168
    25. Löhning, M. ; Hasenauer, J. ; Allgöwer, F.: Steady state stability preserving nonlinear model reduction using sequential convex optimization. In: Proc.\ 50th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC). Orlando, FL, USA, 2011, S. 7158–7163
    26. Schuler, S. ; Gruhler, M. D. ; Münz, U. ; Allgöwer, F.: Design of Structured Static Output Feedback Controllers. In: Proc.\ 18th IFAC World Congress. Milano, Italy, 2011, S. 271–276
    27. Weber, P. ; Hasenauer, J. ; Allgöwer, F. ; Radde, N.: Parameter estimation and identifiability of biological networks using relative data. In: Proc.\ 18th IFAC World Congress. Milano, Italy, 2011, S. 11648–11653
    28. Schmidt, G. S. ; Ebenbauer, C. ; Allgöwer, F.: Observability Properties of the Periodic Toda Lattice. In: Proc.\ 9th IEEE Int.\ Conf.\ Control and Automation. Santiago, Chile, 2011, S. 704–709
    29. Reble, M. ; Müller, M. A. ; Allgöwer, F.: Unconstrained Model Predictive Control and Suboptimality Estimates for Nonlinear Time-Delay Systems. In: Proc.\ 50th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC). Orlando, FL, USA, 2011, S. 7599–7604
    30. Blind, R. ; Allgöwer, F.: Analysis of Networked Event-Based Control with a Shared Communication Medium: Part II - Slotted ALOHA. In: Proc.\ 18th IFAC World Congress. Milano, Italy, 2011, S. 8830–8835
    31. Blind, R. ; Allgöwer, F.: Analysis of Networked Event-Based Control with a Shared Communication Medium: Part I - Pure ALOHA. In: Proc.\ 18th IFAC World Congress. Milano, Italy, 2011, S. 10092–10097
    32. Löhning, M. ; Hasenauer, J. ; Khammash, M. ; Allgöwer, F.: Optimierung mittels reduzierter Modelle mit garantierter Güte. In: Tagungsband Workshop GMA-Fachausschuss 1.30 ``Modellbildung, Identifikation und Simulation in der Automatisierungstechnik″, 2011
    33. Seyboth, G. ; Dimarogonas, D. V. ; Johansson, K. H.: Control of Multi-Agent Systems via Event-based Communication. In: Proc.\ 18th IFAC World Congress. Milan, Italy, 2011, S. 10086–10091
    34. Bayer, F. ; Bürger, M. ; Guay, M. ; Allgöwer, F.: On State-Constrained Control of a CSTR. In: Proc.\ 18th IFAC World Congress. Milano, Italy, 2011, S. 6079–6084
    35. Böhm, C. ; Yu, S. ; Allgöwer, F.: Moving horizon $H_ınfty$ control of constrained periodically time-varying systems. In: Proc.\ 18th IFAC World Congress. Milano, Italy, 2011, S. 10156–10161
    36. Schittler, D. ; Hasenauer, J. ; Allgöwer, F.: A generalized population model for cell proliferation: Integrating division numbers and label dynamics. In: Köppel, H. ; Aćimović, J. ; Kesselin, J. ; Mäki-Marttunen, T. (Hrsg.) ; Köppel, H. ; Aćimović, J. ; Kesselin, J. ; Mäki-Marttunen, T. (Hrsg.): Proc.\ 8th Int.\ Workshop on Computational Systems Biology (WCSB), TICSP series \# 57. Zürich, Switzerland : Tampere International Center for Signal Processing, 2011, S. 165–168
    37. Bürger, M. ; Notarstefano, G. ; Allgöwer, F.: Locally Constrained Decision Making via Two-Stage Distributed Simplex. In: Proc.\ 50th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC). Orlando, FL, USA, 2011, S. 5911–5916
    38. Kögel, M. ; Blind, R. ; Allgöwer, F. ; Findeisen, R.: Optimal and optimal-linear control over lossy, distributed networks. In: Proc.\ 18th IFAC World Congress. Milano, Italy, 2011, S. 13239–13244
    39. Bürger, M. ; Zelazo, D. ; Allgöwer, F.: Network Clustering: A Dynamical Systems and Saddle-Point Perspective. In: Proc.\ 50th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC). Orlando, FL, USA, 2011, S. 7825–7830
    40. Hasenauer, J. ; Waldherr, S. ; Doszczak, M. ; Radde, N. ; Scheurich, P. ; Allgöwer, F.: Parameter estimation and uncertainty analysis for models of heterogeneous cell populations. In: Proc.\ 12th Int.\ Conf.\ Systems Biology (ICSB). Heidelberg/Mannheim, Germany, 2011
    41. Hasenauer, J. ; Andres, C. ; Hucho, T. ; Allgöwer, F.: A threshold-free method for assessing the responsiveness of heterogeneous populations: DRG-neurons as a case study. In: Köpple, H. ; Aćimović, J. ; Kesselin, J. ; Mäki-Marttunen, T. (Hrsg.) ; Köpple, H. ; Aćimović, J. ; Kesselin, J. ; Mäki-Marttunen, T. (Hrsg.): Proc.\ 8th Int.\ Workshop on Computational Systems Biology (WCSB), TICSP series \# 57. Zürich, Switzerland : Tampere International Center for Signal Processing, 2011, S. 209
    42. Reble, M. ; Quevedo, D. E. ; Allgöwer, F.: Stochastic Stability and Performance Estimates of Packetized Unconstrained Model Predictive Control for Networked Control Systems. In: Proc.\ 9th IEEE Int.\ Conf.\ Control and Automation. Santiago, Chile, 2011, S. 171–176
    43. Joos, A. ; Müller, M. A. ; Baumgärtner, D. ; Fichter, W. ; Allgöwer, F.: Nonlinear Predictive Control Based on Time-Domain Simulation for Automatic Landing. In: Proc.\ AIAA Guidance, Navigation, and Control Conf. Bd. 2. Portland, OR, USA, 2011, S. 1619–1633
    44. Blind, R. ; Allgöwer, F.: On the Optimal Sending Rate for Networked Control Systems with a Shared Communication Medium. In: Proc.\ 50th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC). Orlando, FL, USA, 2011, S. 4704–4709
    45. Hasenauer, J. ; Heinrich, J. ; Doszczak, M. ; Scheurich, P. ; Weiskopf, D. ; Allgöwer, F.: Visualization methods and support vector machines as tools for determining markers in models of heterogeneous populations: Proapoptotic signaling as a case study. In: Köpple, H. ; Aćimović, J. ; Kesselin, J. ; Mäki-Marttunen, T. (Hrsg.) ; Köpple, H. ; Aćimović, J. ; Kesselin, J. ; Mäki-Marttunen, T. (Hrsg.): Proc.\ 8th Int.\ Workshop on Computational Systems Biology (WCSB), TICSP series \# 57. Zürich, Switzerland : Tampere International Center for Signal Processing, 2011, S. 61–64
    46. Löhning, M. ; Hasenauer, J. ; Allgöwer, F.: Trajectory-based model reduction of nonlinear biochemical networks employing the observability normal form. In: Proc.\ 18th IFAC World Congress. Milano, Italy, 2011, S. 10442–10447
    47. Dürr, H. B. ; Stankovic, M. ; Johansson, K. H.: A Lie Bracket Approximation for Extremum Seeking Vehicles. In: Proc.\ 18th IFAC World Congress. Milano, Italy, 2011, S. 11393–11398
    48. Müller, M. A. ; Liberzon, D. ; Allgöwer, F.: On norm-controllabilty of nonlinear systems. In: Proc.\ 50th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC). Orlando, FL, USA, 2011, S. 1741–1746
    49. Hasenauer, J. ; Erbertseder, K. ; Doszczak, M. ; Helmig, R. ; Scheurich, P. ; Allgöwer, F.: Towards a multi-scale model for the therapeutic action of TRAIL in lung carcinoma. In: Proc.\ 12th Int.\ Conf.\ Systems Biology (ICSB). Heidelberg/Mannheim, Germany, 2011
    50. Schuler, S. ; Ebenbauer, C. ; Allgöwer, F.: $\ell_0$-System Gain and $\ell_1$-Optimal Control. In: Proc.\ 18th IFAC World Congress. Milano, Italy, 2011, S. 9230–9235
    51. Dürr, H. B. ; Ebenbauer, C.: A Smooth Vector Field for Saddle Point Problems. In: Proc.\ 50th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC). Orlando, FL, USA, 2011, S. 4654–4660
    52. Breindl, C. ; Schittler, D. ; Waldherr, S. ; Allgöwer, F.: Structural requirements and discrimination of cell differentiation networks. In: Proc.\ 18th IFAC World Congress. Milano, Italy, 2011, S. 11767–11772
    53. Reble, M. ; Allgöwer, F.: Unconstrained Nonlinear Model Predictive Control and Suboptimality Estimates for Continuous-Time Systems. In: Proc.\ 18th IFAC World Congress. Milan, Italy, 2011, S. 6733–6738
    54. Dürr, H. B. ; Zeng, S. ; Ebenbauer, C.: Ein nichtlineares System zum Lösen von Sattelpunktproblemen und Linearen Programmen. In: 17. Steirisches Seminar über Regelungstechnik und Prozessautomatisierung, 2011
    55. Dürr, H. B. ; Stankovic, M. ; Johansson, K. H.: Distributed Positioning of Autonomous Mobile Sensors with Application to the Coverage Problem. In: Proc.\ American Control Conf.\ (ACC). San Francisco, CA, USA, 2011, S. 4822–4827
    56. Bürger, M. ; Notarstefano, G. ; Allgöwer, F. ; Bullo, F.: A distributed simplex algorithm and the multi-agent assignment problem. In: Proc.\ American Control Conf.\ (ACC). San Francisco, CA, USA, 2011, S. 2639–2644
    57. Kashima, K. ; Papachristodoulou, A. ; Allgöwer, F.: Connection Profile Robustness in a Heterogeneous Network of Piecewise Affine FitzHugh-Nagumo Models. In: Proc.\ SICE Annual Conf. Tokyo, Japan, 2011, S. 2093–2098
    58. Yu, S. ; Chen, H. ; Allgöwer, F.: Tube MPC scheme based on robust control invariant set with application to Lipschitz nonlinear systems. In: Proc.\ 50th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC). Orlando, FL, USA, 2011, S. 2650–2655
    59. Waldherr, S. ; Allgöwer, F.: Robustness analysis of biomolecular networks via polynomial programming (2011)
    60. Schittler, D. ; Vacun, G. ; Hansmann, J. ; Allgöwer, F. ; Waldherr, S.: Modeling gene regulatory networks of mesenchymal stem cell differentiation (2011). — abstract, talk
    61. Schittler, D. ; Breindl, C. ; Allgöwer, F.: Model selection of networks that are robust against kinetic uncertainties (2011). — abstract, talk
    62. Hasenauer, J. ; Waldherr, S. ; Doszczak, M. ; Scheurich, P. ; Radde, N. ; Allgöwer, F.: From single-cell models to mechanicstic population descriptions - A modeling, simulation, and analysis framework (2011)
    63. Müller, M. A. ; Reble, M. ; Allgöwer, F.: Distributed MPC for cooperative control (2011)
    64. Waldherr, S. ; Allgöwer, F.: Reliable ovarian follicle development through a stochastic bistable switch with cell-cell interactions (2011)
    65. Böhm, C.: Predictive Control Using Semi-definite Programming - Efficient Approaches for Periodic Systems and Lur’e Systems. Stuttgart, Germany, University of Stuttgart, 2011

  11. 2010

    1. Hasenauer, J. ; Waldherr, S. ; Radde, N. ; Doszczak, M. ; Scheurich, P. ; Allgöwer, F.: A maximum likelihood estimator for parameter distributions in heterogeneous cell populations. In: Procedia Computer Science Bd. 1 (2010), S. 1649–1657
    2. Radde, N.: Fixed point characterization of biological networks with complex graph topology. In: Bioinformatics Bd. 26 (2010), S. 2874–2880
    3. Arsie, A. ; Ebenbauer, C.: Locating omega-limit sets using height functions. In: Journal of Differential Equations Bd. 248 (2010), S. 2458–2469
    4. Hasenauer, J. ; Waldherr, S. ; Wagner, K. ; Allgöwer, F.: Parameter identification, experimental design and model falsification for biological network models using semidefinite programming. In: IET Systems Biology Bd. 4 (2010), S. 119–130
    5. Papachristodoulou, A. ; Jadbabaie, A. ; Münz, U.: Effects of Delay in Multi-Agent Consensus and Oscillator Synchronization. In: IEEE Trans.\ Autom.\ Control Bd. 55 (2010), S. 1471–1477
    6. Münz, U. ; Papachristodoulou, A. ; Allgöwer, F.: Delay Robustness in Consensus Problems. In: Automatica Bd. 46 (2010), S. 1252–1265
    7. Hasenauer, J. ; Rumschinski, P. ; Waldherr, S. ; Borchers, S. ; Allgöwer, F. ; Findeisen, R.: Guaranteed steady state bounds for uncertain (bio-)chemical processes using infeasibility certificates. In: J.\ Proc.\ Contr. Bd. 20 (2010), S. 1076–1083
    8. Münz, U. ; Papachristodoulou, A. ; Allgöwer, F.: Robust Rendezvous of Heterogeneous Euler-Lagrange Systems on Packet-Switched Networks. In: at-Automatisierungstechnik Bd. 58 (2010), S. 184–191
    9. Wieland, P. ; Kim, J.-S. ; Allgöwer, F.: On topology and dynamics of consensus among linear high-order agents. In: Int.\ J.\ Systems Science Bd. 42 (2010), S. 1831–1842
    10. Schittler, D. ; Hasenauer, J. ; Allgöwer, F. ; Waldherr, S.: Cell differentiation modeled via a coupled two-switch regulatory network. In: Chaos Bd. 20 (2010), S. 1–9
    11. Bürger, M. ; Guay, M.: Robust Constraint Satisfaction for Continuous Time Nonlinear Systems in Strict Feedback Form. In: IEEE Trans.\ Autom.\ Control Bd. 55 (2010), S. 2597–2601
    12. Kim, J.-S. ; Allgöwer, F.: A Nonlinear Synchronization Scheme for Hindmarsh-Rose Models. In: J.\ Electrical Engineering and Technology Bd. 5 (2010), S. 163–170
    13. Böhm, C. ; Findeisen, R. ; Allgöwer, F.: Robust control of constrained sector bounded Lur’e systems with applications to nonlinear model predictive control. In: Dynamics of Continuous, Discrete and Impulsive Systems Bd. 17 (2010), S. 935–958
    14. Waldherr, S. ; Wu, J. ; Allgöwer, F.: Bridging time scales in cellular decision making with a stochastic bistable switch. In: BMC Sys. Biol. Bd. 4 (2010), S. 108
    15. Grüne, L. ; Sager, S. ; Allgöwer, F. ; Bock, H. G. ; Diehl, M.: Predictive planning and systematic action -- on the control of technical processes. In: Grötschel, M. ; Lucas, K. ; Mehrmann, V. (Hrsg.) ; Grötschel, M. ; Lucas, K. ; Mehrmann, V. (Hrsg.): Production Factor Mathematics : Springer, 2010, S. 9–37
    16. Goebel, G. ; Münz, U. ; Allgöwer, F.: Stabilization of linear systems with distributed input delay. In: Proc.\ American Control Conf.\ (ACC). Baltimore, Maryland, USA, 2010, S. 5800–5806
    17. Ajala, O. ; Schuler, S. ; Allgöwer, F.: $\ell_ınfty$-Gain Controller Order Reduction for Discrete-Time Systems. In: Proc.\ American Control Conf.\ (ACC). Baltimore, MD, USA, 2010, S. 329–334
    18. Breindl, C. ; Waldherr, S. ; Allgöwer, F.: A robustness measure for the stationary behavior of qualitative gene regulation networks. In: Proc.\ 11th Symp.\ Comput.\ Appl.\ Biotechnol.\ (CAB). Leuven, Belgium, 2010, S. 36–41
    19. Wieland, P. ; Allgöwer, F.: On consensus among identical linear systems using input-decoupled functional observers. In: Proc.\ American Control Conf.\ (ACC). Baltimore, MD, USA, 2010, S. 1641–1646
    20. Müller, M. A. ; Liberzon, D.: State-norm estimators for switched nonlinear systems under average dwell-time. In: Proc.\ 49th IEEE Conf.\ Decision and Control (CDC). Atlanta, GA, USA, 2010, S. 1275–1280
    21. Böhm, C. ; Allgöwer, F.: Efficient offline model predictive control of constrained nonlinear periodic systems. In: Proc.\ IFAC Workshop on Periodic Control Systems (PSYCO). Antalya, Turkey, 2010. — http://dx.doi.org/10.3182/20100826-3-TR-4016.00006
    22. Bürger, M. ; Schmidt, G. S. ; Allgöwer, F.: Preference Based Group Agreement in Cooperative Control. In: Proc.\ 8th IFAC Symp.\ Nonlinear Control Systems (NOLCOS). Bologna, Italy, 2010, S. 149–154
    23. Wieland, P. ; Schmidt, G. S. ; Sepulchre, R. ; Allgöwer, F.: Phase Synchronization through Entrainment by a Consensus Input. In: Proc.\ 49th IEEE Conf.\ Decision and Control (CDC). Atlanta, GA, USA, 2010, S. 535–539
    24. Schmidt, G. S. ; Ebenbauer, C. ; Allgöwer, F.: Synchronization Conditions for Lyapunov Oscillators. In: Proc.\ 49th IEEE Conf.\ Decision and Control (CDC). Atlanta, GA, USA, 2010, S. 6230–6235
    25. Kramer, A. ; Hasenauer, J. ; Allgöwer, F. ; Radde, N.: Computation of the posterior entropy in a Bayesian framework for parameter estimation in biological networks. In: Proc.\ IEEE Int.\ Conf.\ Control Applications (CCA). Yokohama, Japan, 2010. — Part of IEEE Multi-Conference on Systems and Control (MSC), S. 493–498
    26. Couchman, I. ; Kerrigan, E. ; Böhm, C.: Model reduction of homogeneous-in-the-state bilinear systems with input constraints. In: Proc.\ American Control Conf.\ (ACC). Baltimore, Maryland, USA, 2010, S. 2718–2723
    27. Schuler, S. ; Münz, U. ; Allgöwer, F.: Optimal Controller Structure Reduction for Decentralized Control. In: Proc.\ 4th IFAC Symp.\ System, Structure and Control (SSSC). Ancona, Italy, 2010, S. 303–308
    28. Schlipf, D. ; Schuler, S. ; Grau, P. ; Allgöwer, F. ; Kühn, M.: Look-Ahead Cyclic Pitch Control Using LIDAR. In: Proc. of the Science of Making Torque from Wind (TORQUE), 2010
    29. Maier, C. ; Böhm, C. ; Deroo, F. ; Allgöwer, F.: Predictive control for polynomial systems subject to constraints using sum of squares. In: Proc.\ 49th IEEE Conf.\ Decision and Control (CDC). Atlanta, GA, USA, 2010, S. 3433–3438
    30. Reble, M. ; Allgöwer, F.: General Design Parameters of Model Predictive Control for Nonlinear Time-Delay Systems. In: Proc.\ 49th IEEE Conf.\ Decision and Control (CDC). Atlanta, GA, USA, 2010, S. 176–181
    31. Böhm, C. ; Lazar, M. ; Allgöwer, F.: Stability analysis of periodically time-varying systems using periodic Lyapunov functions. In: Proc.\ IFAC Workshop on Periodic Control Systems (PSYCO). Antalya, Turkey, 2010. — available online http://dx.doi.org/10.3182/20100826-3-TR-4016.00014
    32. Kögel, M. ; Blind, R. ; Allgöwer, F.: Optimal Control Over Unreliable Networks with Uncertain Loss Rates. In: Proc.\ American Control Conf.\ (ACC). Baltimore, MD, USA, 2010, S. 3672–3677
    33. Ebenbauer, Christian: Linear Matrix Inequalities for Normalizing Matrices. In: Proc.\ 19th Int.\ Symp.\ Mathematical Theory of Networks and Systems (MTNS). Budapest, Hungary, 2010, S. 1375–1379
    34. Kramer, A. ; Radde, N.: Towards experimental design using a Bayesian framework for parameter identification in dynamic intracellular network models. In: Procedia Comp. Sci. Bd. 1 : Elsevier, 2010, S. 1639–1647
    35. Hasenauer, J. ; Waldherr, S. ; Doszczak, M. ; Scheurich, P. ; Allgöwer, F.: Density-based modeling and identification of biochemical networks in cell populations. In: Kothare, M. ; Tade, M. ; Moses, O. ; Wouwer, A. V. ; Smets, I. (Hrsg.) ; Kothare, M. ; Tade, M. ; Moses, O. ; Wouwer, A. V. ; Smets, I. (Hrsg.): Proc.\ 9th IFAC Symp.\ Dynamics and Control of Process Systems (DYCOPS). Leuven, Belgium, 2010, S. 320–325
    36. Müller, M. A. ; Domínguez-García, A. D.: On Input-to-State Stability Notions for Reachability Analysis of Power Systems. In: Proc.\ IEEE Int.\ Symp.\ Circuits and Systems (ISCAS), 2010
    37. Hasenauer, J. ; Doszczak, M. ; Borchers, S. ; Waldherr, S. ; Findeisen, R. ; Scheurich, P. ; Allgöwer, F.: Single-cells vs. cell populations - From a binary decision to a continuous response. In: Proc.\ Conf.\ Systems Biology of Mammalian Cells (SBMC). Freiburg, Germany, 2010
    38. Schuler, S. ; Zhou, W. ; Münz, U. ; Allgöwer, F.: Controller Structure Design for Decentralized Control of Higher Order Subsystems. In: Proc.\ 2nd IFAC Workshop on Estimation and Control of Networked Systems (NecSys). Annecy, France, 2010, S. 296–274
    39. Böhm, C. ; Lazar, M. ; Allgöwer, F.: A relaxation of Lyapunov conditions and controller synthesis for discrete-time periodic systems. In: Proc.\ 49th IEEE Conf.\ Decision and Control (CDC). Atlanta, GA, USA, 2010, S. 3277–3282
    40. Waldherr, S. ; Allgöwer, F. ; Radde, N.: Generic bifurcations in the dynamics of biochemical networks. In: Proc.\ IEEE Int.\ Conf.\ Control Applications (CCA). Yokohama, Japan, 2010. — Part of IEEE Multi-Conference on Systems and Control (MSC), S. 135–141
    41. Yu, S. ; Böhm, C. ; Chen, H. ; Allgöwer, F.: Robust model predictive control with disturbance invariant sets. In: Proc.\ American Control Conf.\ (ACC). Baltimore, MD, USA, 2010, S. 6262–6267
    42. Hasenauer, J. ; Breindl, C. ; Waldherr, S. ; Allgöwer, F.: Approximative classification of regions in parameter spaces of nonlinear ODEs yielding different qualitative behavior. In: Proc.\ 49th IEEE Conf.\ Decision and Control (CDC). Atlanta, GA, USA, 2010, S. 4114–4119
    43. Reble, M. ; Allgöwer, F.: Stabilizing design parameters for model predictive control of constrained nonlinear time-delay systems. In: Proc.\ 9th IFAC Workshop on Time Delay Systems. Prague, Czech Republic, 2010. — available online http://dx.doi.org/10.3182/20100607-3-CZ-4010.00064
    44. Müller, M. A. ; Liberzon, D.: Input/output-to-state stability of switched nonlinear systems. In: Proc.\ American Control Conf.\ (ACC). Baltimore, Maryland, USA, 2010, S. 1708–1712
    45. Freuer, A. ; Reble, M. ; Böhm, C. ; Allgöwer, F.: Efficient Model Predictive Control for Linear Periodic Systems. In: Proc.\ 19th Int.\ Symp.\ Mathematical Theory of Networks and Systems (MTNS). Budapest, Hungary, 2010, S. 1403–1409
    46. Schuler, S. ; Schlipf, D. ; Kühn, M. ; Allgöwer, F.: $\ell_1$-Optimal Multivariable Pitch Control for Load Reduction on Large Wind Turbines. In: Proc.\ Scientific Track at the European Wind Energy Conf.\ (EWEC). Warsaw, Poland, 2010, S. 110–112
    47. Schmidt, G. S. ; Wu, J. ; Münz, U. ; Allgöwer, F.: Consensus in Bistable and Multistable Multi-Agent Systems. In: Proc.\ 49th IEEE Conf.\ Decision and Control (CDC). Atlanta, GA, USA, 2010, S. 7135–7140
    48. Schittler, D. ; Waldherr, S. ; Allgöwer, F.: Switch models for cell differentiation: Bifurcation analysis reveals distinct switching properties (2010). — abstract / talk
    49. Schittler, D. ; Waldherr, S. ; Hasenauer, J. ; Allgöwer, F.: Modeling genetic switching in osteoblast cell fate driven by extrinsic and intrinsic signals (2010)
    50. Schittler, D. ; Waldherr, S. ; Hasenauer, J. ; Hauk, T. ; Hausser, A. ; Pfizenmaier, K. ; Allgöwer, F.: Model-based design of osteoblast differentiation stimuli (2010)
    51. Münz, U.: Delay Robustness in Cooperative Control. Stuttgart, Germany, Institute for Systems Theory and Automatic Control, University of Stuttgart, 2010
    52. Raff, Tobias: Impulsive Obervers for Continuous-Time Systems and Global Output Feedback Control. Stuttgart, Germany, Institute for Systems Theory and Automatic Control, University of Stuttgart, 2010
    53. Wieland, P: From static to dynamic couplings in consensus and synchronization among identical and non-identical systems. Stuttgart, Germany, Institute for Systems Theory and Automatic Control, University of Stuttgart, 2010

  12. 2009

    1. Radde, N. ; Bar, N.S. ; Banaji, M.: Graphical methods for analysing feedback in biological networks - A survey -. In: Int.\ J.\ Systems Science (2009)
    2. Cohen, J.E. ; Schittler, D. ; Raffaelli, D. ; Reuman, D.C.: Food webs are more than the sum of their tri-trophic parts. In: Proc. Natl. Acad. Sci. U. S. A. Bd. 106 (2009), S. 22335–22340
    3. Mayne, D. Q. ; Raković, S. V. ; Findeisen, R. ; Allgöwer, F.: Robust output feedback model predictive control of constrained linear systems: Time varying case. In: Automatica Bd. 45 (2009), S. 2082–2087
    4. Dörfler, F. ; Johnsen, J. K. ; Allgöwer, F.: An introduction to interconnection and damping assignment passivity-based control in process engineering. In: J.\ Proc.\ Contr. Bd. 19 (2009), S. 1413–1426
    5. Radde, N.: The impact of time-delays on the robustness of biological oscillators and the effect of bifurcations on the inverse problem. In: Eurasip Journal on Bioinformatics and Systems Biology Bd. 2009 (2009)
    6. Waldherr, S. ; Allgöwer, F.: Searching bifurcations in high-dimensional parameter space via a feedback loop breaking approach. In: Int.\ J.\ Systems Science Bd. 40 (2009), S. 769–782
    7. Münz, U. ; Zufiria, P. J.: Diagnosis of unknown parametric faults in non-linear stochastic dynamical systems. In: Int.\ J.\ Control Bd. 82 (2009), S. 603–619
    8. Eißing, T. ; Chaves, M. ; Allgöwer, F.: Live and let die--A systems biology view on cell death. In: Comp.\ & Chem.\ Eng. Bd. 33 (2009), S. 583–589
    9. Münz, U. ; Ebenbauer, C. ; Haag, T. ; Allgöwer, F.: Stability Analysis of Time-Delay Systems with Incommensurate Delays using Positive Polynomials. In: IEEE Trans.\ Autom.\ Control Bd. 54 (2009), S. 1019–1024
    10. Schweickhardt, T. ; Allgöwer, F.: On System Gains, Nonlinearity Measures, and Linear Models for Nonlinear Systems. In: IEEE Trans.\ Autom.\ Control Bd. 54 (2009), S. 62–78
    11. Gebert, J. ; Radde, N. ; Faigle, U. ; Strösser, J. ; Burkovski, A.: Modeling and simulation of nitrogen regulation in Corynebacterium glutamicum. In: Discrete Appl. Math. (2009). — in press
    12. Witt, J. ; Barisic, S. ; Schumann, E. ; Allgöwer, F. ; Sawodny, O. ; Sauter, T. ; Kulms, D.: Mechanism of PP2A-mediated IKK$\beta$ dephosphorylation: a systems biological approach. In: BMC Sys. Biol. Bd. 3 (2009), S. 71
    13. Lang, M. ; Waldherr, S. ; Allgöwer, F.: Amplitude Distribution of Stochastic Oscillations in Biochemical Networks due to Intrinsic Noise. In: PMC Biophysics Bd. 2 (2009), S. 10
    14. Bar, Nadav S. ; Radde, Nicole: Long-term prediction of fish growth under varying ambient temperature using a multiscale dynamic model. In: BMC Sys. Biol. Bd. 3 (2009), S. 107
    15. Münz, U. ; Papachristodoulou, A. ; Allgöwer, F.: Consensus reaching in multi-agent packet-switched networks with non-linear coupling. In: Int.\ J.\ Control Bd. 82 (2009), S. 953–969
    16. Radde, N. ; Kaderali, L.: A Bayes Regularized ODE Model for the Inference of Gene Regulatory Networks. In: Das, S. ; Caragea, D. ; Hsu, W. H. ; Welch, S. M. (Hrsg.) ; Das, S. ; Caragea, D. ; Hsu, W. H. ; Welch, S. M. (Hrsg.):  : IGI Global, 2009
    17. Streif, S. ; Waldherr, S. ; Allgöwer, F. ; Findeisen, R.: Steady state sensitivity analysis of biochemical reaction networks. A brief review and new methods. In: Jayaraman, A. ; Hahn, J. (Hrsg.) ; Jayaraman, A. ; Hahn, J. (Hrsg.): Systems Analysis of Biological Networks, Methods in Bioengineering : Artech House, 2009, S. 129–148
    18. Böhm, C. ; Heß, F. ; Findeisen, R. ; Allgöwer, F.: An NMPC approach to avoid weakly observable trajectories. In: Magni, L. ; Raimondo, D. ; Allgöwer, F. (Hrsg.) ; Magni, L. ; Raimondo, D. ; Allgöwer, F. (Hrsg.): Nonlinear Model Predictive Control - Towards New Challenging Applications, Lecture Notes in Control and Information Sciences. Bd. 384 : Springer Berlin / Heidelberg, 2009, S. 275–284
    19. Chaves, M. ; Eißing, T. ; Allgöwer, F.: Regulation of apoptosis via the NF$\kappa$B pathway: modeling and analysis. In: Ganguly, N. ; Deutsch, A. ; Mukherjee, A. (Hrsg.) ; Ganguly, N. ; Deutsch, A. ; Mukherjee, A. (Hrsg.): Dynamics On and Of Complex Networks : Birkhäuser, 2009, S. 19–34
    20. Böhm, C. ; Merk, M. ; Fichter, W. ; Allgöwer, F.: Spacecraft rate damping with predictive control using magnetic actuators only. In: Magni, L. ; Raimondo, D. ; Allgöwer, F. (Hrsg.) ; Magni, L. ; Raimondo, D. ; Allgöwer, F. (Hrsg.): Nonlinear Model Predictive Control - Towards New Challenging Applications, Lecture Notes in Control and Information Sciences. Bd. 384 : Springer Berlin / Heidelberg, 2009, S. 511–520
    21. Kern, B. ; Böhm, C. ; Findeisen, R. ; Allgöwer, F.: Receding horizon control for linear periodic time-varying systems subject to input constraints. In: Magni, L. ; Raimondo, D. ; Allgöwer, F. (Hrsg.) ; Magni, L. ; Raimondo, D. ; Allgöwer, F. (Hrsg.): Nonlinear Model Predictive Control - Towards New Challenging Applications, Lecture Notes in Control and Information Sciences. Bd. 384 : Springer Berlin / Heidelberg, 2009, S. 109–117
    22. Münz, U. ; Rieber, J. M. ; Allgöwer, F.: Robust Stabilization and $H_ınfty$ Control of Uncertain Distributed Delay Systems. In: Loiseau, J. J. ; Michiels, W. ; Niculescu, S.-I. ; Sipahi, R. (Hrsg.) ; Loiseau, J. J. ; Michiels, W. ; Niculescu, S.-I. ; Sipahi, R. (Hrsg.): Topics in Time Delay Systems: Analysis, Algorithms, and Control, Lecture Notes in Control and Information Sciences. Bd. 388 : Springer Berlin / Heidelberg, 2009, S. 221–231
    23. Ebenbauer, C. ; Raff, T. ; Allgöwer, F.: Dissipation inequalities in systems theory: An introduction and recent results. In: Jeltsch, R. ; Wanner, G. (Hrsg.) ; Jeltsch, R. ; Wanner, G. (Hrsg.): 6th International Congress on Industrial and Applied Mathematics, Z�rich, Switzerland, 16-20 July 2007. Zürich, Switzerland : European Mathematical Society Publishing House, 2009, S. 23–42
    24. Böhm, C. ; Raff, T. ; Reble, M. ; Allgöwer, F.: LMI-based Model Predictive Control for Linear Discrete-Time Periodic Systems. In: Magni, L. ; Raimondo, D. ; Allgöwer, F. (Hrsg.) ; Magni, L. ; Raimondo, D. ; Allgöwer, F. (Hrsg.): Nonlinear Model Predictive Control - Towards New Challenging Applications, Lecture Notes in Control and Information Sciences. Bd. 384 : Springer Berlin / Heidelberg, 2009, S. 99–108
    25. Yu, S. ; Chen, H. ; Böhm, C. ; Allgöwer, F.: Enlarging the terminal region of NMPC with parameter-dependent control law. In: Magni, L. ; Raimondo, D. ; Allgöwer, F. (Hrsg.) ; Magni, L. ; Raimondo, D. ; Allgöwer, F. (Hrsg.): Nonlinear Model Predictive Control - Towards New Challenging Applications, Lecture Notes in Control and Information Sciences. Bd. 384 : Springer Berlin / Heidelberg, 2009, S. 69–78
    26. Grüne, L. ; Sager, S. ; Allgöwer, F. ; Bock, H. G. ; Diehl, M.: Vorausschauend planen, geziehlt handeln -- über die Regelung und Steuerung technischer Prozesse. In: Grötschel, M. ; Lucas, K. ; Mehrmann, V. (Hrsg.) ; Grötschel, M. ; Lucas, K. ; Mehrmann, V. (Hrsg.): Produktionsfaktor Mathematik : Springer Berlin / Heidelberg, 2009, S. 27–62
    27. Waldherr, S. ; Allgöwer, F. ; Jacobsen, E. W.: Kinetic perturbations as robustness analysis tool for biochemical reaction networks. In: Proc.\ 48th IEEE Conf.\ Decision and Control (CDC). Shanghai, China, 2009, S. 4572–4577
    28. Ebenbauer, C. ; Arsie, A.: Refining Lasalle’s invariance principle. In: Proc.\ American Control Conf.\ (ACC). St. Louis, Missouri, USA, 2009, S. 108–112
    29. Blind, R. ; Allgöwer, F.: Estimating the Fates of the Control Packets for Networked Control Systems with Loss of Control and Measurement Packets. In: Proc.\ 48th IEEE Conf.\ Decision and Control (CDC), 28th Chinese Control Conf.\ (CCC). Shanghai, China, 2009, S. 2687–1692
    30. Blind, R. ; Uhlich, S. ; Yang, B. ; Allgöwer, F.: Robustification and Optimization of a Kalman Filter with Measurement Loss using Linear Precoding. In: Proc.\ American Control Conf.\ (ACC). St. Louis, MO, USA, 2009, S. 2222–2227
    31. Yu, S. ; Böhm, C. ; Chen, H. ; Allgöwer, F.: Moving horizon $\ell_2$ control of LPV systems subject to constraints. In: Proc.\ 14th Int.\ Conf.\ Methods and Models in Automation and Robotics. Miedzyzdroje, Poland, 2009, S. 354–359
    32. Müller, M. A. ; Waldherr, S. ; Allgöwer, F.: The transcritical bifurcation in absolutely stable feedback systems. In: Proc.\ European Control Conf.\ (ECC). Budapest, Hungary, 2009, S. 2146–2151
    33. Reble, M. ; Allgöwer, F.: Modellprädiktive Regelung für nichtlineare Totzeitsysteme. In: Tagungsband Workshop GMA-Fachausschuss 1.40 ``Theoretische Verfahren der Regelungstechnik″, 2009
    34. Münz, U. ; Papachristodoulou, A. ; Allgöwer, F.: Output Consensus Controller Design for Nonlinear Relative Degree One Multi-Agent Systems with Delays. In: Proc.\ 8th IFAC Workshop on Time Delay Systems. Sinaia, Romania, 2009, S. 370–375
    35. Hasenauer, J. ; Rumschinski, P. ; Waldherr, S. ; Borchers, S. ; Allgöwer, F. ; Findeisen, R.: Guaranteed steady-state bounds for uncertain chemical processes. In: Engell, S. ; Arkun, Y. (Hrsg.) ; Engell, S. ; Arkun, Y. (Hrsg.): Proc.\ IFAC Int.\ Symp.\ Advanced Control of Chemical Processes (ADCHEM) : IFAC-PaperOnline, 2009, S. 674–679
    36. Münz, U. ; Papachristodoulou, A. ; Allgöwer, F.: Generalized Nyquist Consensus Condition for Large High-Order Linear Multi-Agent Systems with Communication Delays. In: Proc.\ 48th IEEE Conf.\ Decision and Control (CDC). Shanghai, China, 2009, S. 4765–4771
    37. Kramer, A. ; Radde, N.: A Stochastic Framework for Noise Separation in Dynamic Models of Intracellular Networks. In: Dubois, D. M. (Hrsg.) ; Dubois, D. M. (Hrsg.): Proc.\ CASYS′09 : AIP, 2009, S. 68–73
    38. Esfanjani, R. M. ; Reble, M. ; Münz, U. ; Nikravesh, S. K. Y. ; Allgöwer, F.: Model Predictive Control of Constrained Nonlinear Time-Delay Systems. In: Proc.\ 48th IEEE Conf.\ Decision and Control (CDC). Shanghai, China, 2009, S. 1324–1329
    39. Böhm, C. ; Yu, S. ; Allgöwer, F.: Predictive control for constrained discrete-time periodic systems using a time-varying terminal region. In: Proc.\ 14th Int.\ Conf.\ Methods and Models in Automation and Robotics. Miedzyzdroje, Poland, 2009. — available online http://dx.doi.org/10.3182/20090819-3-PL-3002.00093
    40. Schmidt, G. S. ; Münz, U. ; Allgöwer, F.: Multi-Agent Speed Consensus via Delayed Position Feedback with Application to Kuramoto Oscillators. In: Proc.\ European Control Conf.\ (ECC). Budapest, Hungary, 2009, S. 2464–2469
    41. Waldherr, S. ; Hasenauer, J. ; Allgöwer, F.: Estimation of biochemical network parameter distributions in cell populations. In: Proc.\ 15th IFAC Symp.\ System Identification (SYSID). Brussels, Belgium, 2009, S. 1265–1270
    42. Wieland, P. ; Allgöwer, F.: An Internal Model Principle for Consensus in Heterogeneous Linear Multi-Agent Systems. In: Proc.\ 1st IFAC Workshop on Estimation and Control of Networked Systems (NecSys). Venice, Italy, 2009, S. 7–12
    43. Ebenbauer, C. ; Arsie, A.: On an Eigenflow Equation and its Structure Preserving Properties. In: Proc.\ 48th IEEE Conf.\ Decision and Control (CDC). Shanghai, China, 2009, S. 7491–7496
    44. Reble, M. ; Böhm, C. ; Allgöwer, F.: Nonlinear Model Predictive Control for Periodic Systems using LMIs. In: Proc.\ European Control Conf.\ (ECC). Budapest, Hungary, 2009, S. 3365–3370
    45. Wieland, P. ; Allgöwer, F.: An Internal Model Principle for Synchronization. In: Proc.\ 7th IEEE Int.\ Conf.\ Control and Automation. Christchurch, New Zealand, 2009, S. 285–290
    46. Maldonado, S. ; Allgöwer, F. ; Findeisen, R.: Global Sensitivity Analysis of Force-induced Bone Growth and Adaptation using Semidefinite Programming. In: Proc.\ 3rd Foundations of Systems Biology in Engineering (FOSBE). Denver, CO, USA, 2009, S. 141–144
    47. Yu, S. ; Böhm, C. ; Chen, H. ; Allgöwer, F.: Stabilizing model predictive control for LPV systems subject to constraints with parameter-dependent control law. In: Proc.\ American Control Conf.\ (ACC). St. Louis, 2009, S. 3118–3123
    48. Blind, R. ; Allgöwer, F.: A controller design for Networked Control Systems with random delays via the Jump Linear System approach, which reduces the effects of the delay. In: Proc.\ European Control Conf.\ (ECC). Budapest, Hungary, 2009, S. 1728–1733
    49. Münz, U. ; Papachristodoulou, A. ; Allgöwer, F.: Generalized Nyquist Consensus Condition for Linear Multi-Agent Systems with Heterogeneous Delays. In: Proc.\ 1st IFAC Workshop on Estimation and Control of Networked Systems (NecSys). Venice, Italy, 2009, S. 24–29
    50. Böhm, C. ; Yu, S. ; Findeisen, R. ; Allgöwer, F.: Predictive control for Lure systems subject to constraints using LMIs. In: Proc.\ European Control Conf.\ (ECC). Budapest, Hungary, 2009, S. 3389–3394
    51. Haag, T. ; Münz, U. ; Allgöwer, F.: Comparison of Different Stability Conditions for Linear Time-Delay Systems with Incommensurate Delays. In: Proc.\ 8th IFAC Workshop on Time Delay Systems. Sinaia, Romania, 2009, S. 136–141
    52. Breindl, C. ; Allgöwer, F.: Verification of multistability in gene regulation networks: A combinatorial approach. In: Proc.\ 48th IEEE Conf.\ Decision and Control (CDC). Shanghai, China, 2009, S. 5637–5642
    53. Maier, C. ; Allgöwer, F.: A Set-Valued Filter for Discrete Time Polynomial Systems using Sum of Squares Programming. In: Proc.\ 48th IEEE Conf.\ Decision and Control (CDC). Shanghai, China, 2009, S. 223–228
    54. Breindl, C. ; Waldherr, S. ; Hausser, A ; Allgöwer, F.: Modeling cofilin mediated regulation of cell migration as a biochemical two-input switch. In: Proc.\ 3rd Foundations of Systems Biology in Engineering (FOSBE), 2009, S. 60–63
    55. Bürger, M. ; Guay, M.: A Backstepping Approach to Multivariable Robust Constraint Satisfaction With Application to a VTOL Helicopter. In: Proc.\ 48th IEEE Conf.\ Decision and Control (CDC). Shanghai, China, 2009, S. 5239–5244
    56. Hasenauer, J. ; Waldherr, S. ; Allgöwer, F.: Estimation of biochemical network parameter distributions in cell populations. In: Workshop on Cancer Systems Biology. Rostock, Germany, 2009
    57. Radde, N. ; Bar, N.S. ; Tresch, A.: A comparison of likelihoods for dynamic stochastic models of biological networks. In: WCSB Conference proceedings : proceeding, 2009. — accepted
    58. Schuler, S. ; Allgöwer, F.: $\ell_ınfty$-Gain Model Reduction for Discrete Time Systems via LMIs. In: Proc.\ American Control Conf.\ (ACC). St. Louis, MO, USA, 2009, S. 5701–5706
    59. Münz, U. ; Böhm, C. ; Eck, J. ; Reble, M. ; Schumm, P. ; Allgöwer, F.: A Matlab-Based Game for Advanced Automatic Control Education. In: Proc.\ 8th IFAC Symp.\ Advances in Control Education. Kumamoto, Japan, 2009, S. 140–145
    60. Waldherr, Steffen ; Doszczak, Malgorzata ; Schliemann, Monica ; Schreiner, Jens ; Scheurich, Peter ; Allgöwer, Frank: The TNF Receptor Signalling Network: Modular Modelling and Cell-type Specific Analysis (2009)
    61. Waldherr, S. ; Allgöwer, F.: A feedback approach to bifurcation analysis in biochemical networks with many parameters (2009)
    62. Maess, Johannes: Modeling and Control of Piezoelectric Tube Actuators and Dynamic Atomic Force Microscopes. Stuttgart, Germany, Institute for Systems Theory and Automatic Control, University of Stuttgart, 2009
    63. Waldherr, Steffen: Uncertainty and robustness analysis of biochemical reaction networks via convex optimisation and robust control theory. Stuttgart, Germany, Institute for Systems Theory and Automatic Control, University of Stuttgart, 2009
    64. Aßfalg, Jochen: Robust fault detection and isolation of nonlinear systems with augmented state models. Stuttgart, Germany, Institute for Systems Theory and Automatic Control, University of Stuttgart, 2009

  13. 2008

    1. Radde, N. ; Kaderali, L.: Inference of an oscillatory model for the yeast cell cycle. In: Discrete Appl. Math. Bd. doi:10.1016/j.dam.2008.06.036 (2008). — in press
    2. Waldherr, S. ; Eißing, T. ; Allgöwer, F.: Rückkopplungen im Leben und Sterben einer Zelle: Ansätze zur systemtheoretischen Analyse. In: at-Automatisierungstechnik Bd. 56 (2008), S. 233–240
    3. Blind, R. ; Münz, U. ; Allgöwer, F.: Modeling, Analysis, and Design of Networked Control Systems using Jump Linear Systems. In: at-Automatisierungstechnik Bd. 56 (2008), S. 20–28
    4. Maess, J. ; Fleming, A. J. ; Allgöwer, F.: Simulation of Dynamics-Coupling in Piezoelectric Tube Scanners by Reduced Order Finite Element Analysis. In: Review of Scientific Instruments Bd. 79 (2008), S. 1–9
    5. Waldherr, S. ; Zeitz, M.: Conditions for the existence of a flat input. In: Int.\ J.\ Control Bd. 81 (2008), S. 439–443
    6. Ebenbauer, C. ; Arsie, A.: On an eigenflow equation and its Lie algebraic generalization. In: Communications in Information and Systems Bd. 8 (2008), S. 147–170
    7. Radde, N.: The effect of time scale differences and time-delays on the structural stability of oscillations in a two-gene network. In: Adv. Complex. Syst. Bd. 11 (2008), S. 471–483
    8. Ebenbauer, C. ; Allgöwer, F.: A Dissipation Inequality for the Minimum Phase Property. In: IEEE Trans.\ Autom.\ Control Bd. 53 (2008), S. 821–826
    9. Chaves, M. ; Eißing, T. ; Allgöwer, F.: Bistable Biological Systems: A Characterization Through Local Compact Input-to-State Stability. In: IEEE Trans.\ Autom.\ Control Bd. 53 (2008), S. 87–100
    10. Maldonado, S. ; Findeisen, R. ; Allgöwer, F.: Describing force-induced bone groth and adaptation by a mathematical model. In: J. Musculoskel. Neuronal Interact. Bd. 8 (2008), S. 15–17
    11. Maldonado, S. ; Findeisen, R. ; Allgöwer, F.: Understanding the process of force-induced bone growth and adaptation through a mathematical model. In: Bone Bd. 42, Supplement 1 (2008), S. S61
    12. Radde, N. ; Gebert, J. ; Faigle, U. ; Schrader, R. ; Schnetz, K.: Modeling feedback loops in the H-NS-mediated regulation of the Escherichia coli bgl operon. In: Journal of Theoretical Biology Bd. 250 (2008)
    13. Ahdesmäki, M. ; Strimmer, K. ; Radde, N. ; Rahnenführer, J. ; Klemm, K. ; Lähdesmäki, H. ; Yli-Harja, O. (Hrsg.) ; Ahdesmäki, M. ; Strimmer, K. ; Radde, N. ; Rahnenführer, J. ; Klemm, K. ; Lähdesmäki, H. ; Yli-Harja, O. (Hrsg.): Proc. 5th Int. Workshop on Comput. Syst. Biol. (WCSB08). Leipzig, Germany, 2008. — Editing work
    14. Maier, C. ; Haag, T. ; Münz, U. ; Allgöwer, F.: Construction of quadratic Lyapunov-Krasovskii functionals for linear time delay systems with multiple uncertain delays. In: Sivasundaram, S. (Hrsg.) ; Sivasundaram, S. (Hrsg.): , Mathematical Problems in Engineering and Aerospace Sciences: ICNPAA 2008. Bd. 5. Cambridge, UK : Cambridge Scientific Publisher Ltd, 2008
    15. Kim, J.-S. ; Allgöwer, F.: Nonlinear Synchronization of Coupled Oscillators: The Polynomial Case. In: Astolfi, A. ; Marconi, L. (Hrsg.) ; Astolfi, A. ; Marconi, L. (Hrsg.): Analysis and Design of Nonlinear Control Systems, In Honor of Alberto Isidori : Springer Berlin / Heidelberg, 2008, S. 339–351
    16. Waldherr, S. ; Findeisen, R. ; Allgöwer, F.: Global Sensitivity Analysis of Biochemical Reaction Networks via Semidefinite Programming. In: Proc.\ of the 17th IFAC World Congress. Seoul, Korea, 2008, S. 9701–9706
    17. Waldherr, S. ; Hasenauer, J. ; Allgöwer, F.: Global sensitivity analysis of uncertain biochemical reaction networks. In: 2nd Int. Work. Syst. Biol., 2008
    18. Maess, J. ; Fleming, A. J. ; Allgöwer, F.: Model-Based Vibration Suppression in Piezoelectric Tube Scanners through Induced Voltage Feedback. In: Proc.\ American Control Conf.\ (ACC). Seattle, WA, USA, 2008, S. 2022–2027
    19. Dmitruk, N. ; Findeisen, R. ; Allgöwer, F.: Optimal measurement feedback control of finite-time continous linear systems. In: Proc.\ 17th IFAC World Congress. Seoul, Korea, 2008, S. 15339–15344
    20. Maess, J. ; Becker, J. ; Gaul, L. ; Allgöwer, F.: Two-Degree-of-Freedom Tracking Control of Piezoelectric Tube Scanners in Two-Dimensional Scanning Applications. In: Proc.\ 17th IFAC World Congress. Seoul, Korea, 2008, S. 8257–8262
    21. Waldherr, S. ; Eißing, T. ; Allgöwer, F.: Analysis of Feedback Mechanisms in Cell-biological Systems. In: Proc.\ of the 17th IFAC World Congress. Seoul, Korea, 2008, S. 15861–15866
    22. Geffen, D. ; Findeisen, R. ; Schliemann, M. ; Allgöwer, F. ; Guay, M.: Observability based parameter identifiability for biochemical reaction networks. In: Proc.\ American Control Conf.\ (ACC). Seattle, WA, USA, 2008, S. 2130–2135
    23. Wieland, P. ; Kim, J.-S. ; Scheu, H. ; Allgöwer, F.: On consensus in multi-agent systems with linear high-order agents. In: Proc.\ 17th IFAC World Congress. Seoul, Korea, 2008, S. 1541–1546
    24. Hasenauer, J. ; Waldherr, S. ; Allgöwer, F.: Global sensitivity analysis of biochemical reaction networks using semidefinite programming. In: Proc.\ 9th Int.\ Conf.\ Systems Biology (ICSB). Gothenburg, Sweden, 2008
    25. Johnsen, J. K. ; Dörfler, F. ; Allgöwer, F.: $L_2$-gain of Port-Hamiltonian systems and application to a biochemical fermenter model. In: Proc.\ American Control Conf.\ (ACC). Seattle, USA, 2008, S. 153–158
    26. Münz, U. ; Papachristodoulou, A. ; Allgöwer, F.: Delay-Dependent Rendezvous and Flocking of Large Scale Multi-Agent Systems with Communication Delays. In: Proc.\ 47th IEEE Conf.\ Decision and Control (CDC). Cancun, Mexico, 2008, S. 2038–2043
    27. Bürger, M. ; Raff, T. ; Ebenbauer, C. ; Allgöwer, F.: Extensions on a Certainty-Equivalence Feedback Design with a Class of Feedbacks Which Guarantee ISS. In: Proc.\ American Control Conf.\ (ACC). Seattle, WA, USA, 2008, S. 383–388
    28. Raff, T. ; Allgöwer, F.: An Observer that Converges in Finite Time Due to Measurement-based State Updates. In: Proc.\ 17th IFAC World Congress. Seoul, Korea, 2008, S. 2693–2695
    29. Böhm, C. ; Raff, T. ; Findeisen, R. ; Allgöwer, F.: Calculating the terminal region of NMPC for Lure systems. In: Proc.\ American Control Conf.\ (ACC). Seattle, WA, USA, 2008, S. 1127–1132
    30. Münz, U. ; Papachristodoulou, A. ; Allgöwer, F.: Nonlinear Multi-Agent System Consensus with Time-Varying Delays. In: Proc.\ 17th IFAC World Congress. Seoul, Korea, 2008, S. 1522–1527
    31. Böhm, C. ; Findeisen, R. ; Allgöwer, F.: Avoidance of poorly observable trajectories: A predictive control perspective. In: Proc.\ 17th IFAC World Congress. Seoul, Korea, 2008, S. 1952–1957
    32. Schmidt, K. ; Breindl, C.: On maximal permissiveness of hierarchical and modular supervisory control approaches for discrete event systems. In: Proc.\ 9th Int.\ Workshop Discrete Event Syst. (WODES), 2008, S. 462–467
    33. Waldherr, S. ; Doszczak, M. ; Schliemann, M. ; Schreiner, J. ; Scheurich, P. ; Allgöwer, F.: The TNF Receptor Signalling Network: Modular Modelling and Cell-type Specific Analysis. In: 2nd Conference on Systems Biology of the Mammalian Cell, Dresden, 2008
    34. Raff, T. ; Kögel, M. ; Allgöwer, F.: Observer with Sample-and-Hold Updating for Lipschitz Nonlinear Systems with Nonuniformly Sampled Measurements. In: Proc.\ American Control Conf.\ (ACC). Seattle, WA, USA, 2008, S. 5254–5257
    35. Münz, U. ; Schumm, P. ; Allgöwer, F.: Educational Games in Control. In: Proc.\ 17th IFAC World Congress. Seoul, Korea, 2008, S. 12625–12630
    36. Münz, U. ; Rieber, J. M. ; Allgöwer, F.: Robust stability of Distributed Delay Systems. In: Proc.\ 17th IFAC World Congress. Seoul, Korea, 2008, S. 12354–12358
    37. Raff, T. ; Sinz, D. ; Allgöwer, F.: Model Predictive Control of Uncertain Continuous-Time Systems with Piecewise Constant Control Input: A Convex Approach. In: Proc.\ American Control Conf.\ (ACC). Seattle, WA, USA, 2008, S. 1109–1114
    38. Blind, R. ; Münz, U. ; Allgöwer, F.: Modeling, Analysis, and Stabilization of Networked Control Systems: A Jump Linear Systems Approach (2008)
    39. Maldonado, Solvey ; Findeisen, Rolf ; Allgöwer, Frank: Understanding the process of force-induced bone growth and adaptation by a mathematical model (2008)
    40. Maldonado, Solvey ; Findeisen, Rolf ; Allgöwer, Frank: Towards Optimal Treatment Design: Model predicts the synergistic effects of PGE2 and mechanical loading during bone remodeling (2008)

  14. 2007

    1. Journée, M. ; Schweickhardt, T. ; Allgöwer, F.: Comparative assessment of old and new suboptimal control schemes on three example processes. In: Int.\ J.\ of Tomography & Statistics Bd. 6 (2007), S. 45–50
    2. Ebenbauer, C. ; Raff, T. ; Allgöwer, F.: Certainty-Equivalence Feedback Design with Polynomial-Type Feedbacks Which Guarantee ISS. In: IEEE Trans.\ Autom.\ Control Bd. 52 (2007), S. 716–720
    3. Gebert, J. ; Radde, N. ; Weber, G.-W.: Modeling gene regulatory networks with piecewise linear differential equations. In: European Journal of Operational Research Bd. 181 (2007), S. 1148–1165
    4. Eißing, T. ; Waldherr, S. ; Allgöwer, F. ; Scheurich, P. ; Bullinger, E.: Steady state and (bi-) stability evaluation of simple protease signalling networks. In: BioSystems Bd. 90 (2007), S. 591–601
    5. Münz, U. ; Schumm, P. ; Wiesebrock, A. ; Allgöwer, F.: Motivation and Learning Progress through Educational Games. In: IEEE Trans.\ Industrial Electronics Bd. 54 (2007), S. 3141–3144
    6. Kim, J.-S. ; Yoon, T.-W. ; De Persis, C.: Discrete-time supervisory control of input-constrained neutrally stable linear systems via state-dependent dwell-time switching. In: Syst.\ Contr.\ Lett. Bd. 56 (2007), S. 484–492
    7. Yoon, T.-W. ; Kim, J.-S. ; Morse, A.S: Supervisory Control using a New Control-relevant Switching. In: Automatica Bd. 43 (2007), S. 1791–1798
    8. Lepore, R. ; Vande Wouwer, A. ; Remy, M. ; Findeisen, R. ; Nagy, Z. K. ; Allgöwer, F.: Optimization strategies for a MMA polymerization reactor. In: Comp.\ & Chem.\ Eng. Bd. 31 (2007), S. 281–291
    9. Nagy, Z. ; Allgöwer, F.: A nonlinear model predictive control approach for robust end-point property control of a thin-film deposition process. In: Int.\ J.\ Robust and Nonlinear Control Bd. 17 (2007), S. 1600–1613
    10. Zhang, Weidong ; Rieber, Jochen M. ; Gu, Danying: Optimal dead-time compensator for stable and integrating processes with time delay. In: J.\ Proc.\ Contr. Bd. 18 (2007), S. 449–457
    11. Ebenbauer, C. ; Allgöwer, F.: Stability Analysis of Constrained Control Systems: An Alternative Approach. In: Syst.\ Contr.\ Lett. Bd. 56 (2007), S. 93–98
    12. Schweickhardt, T. ; Allgöwer, F.: Linear control of nonlinear systems based on nonlinearity measures. In: J.\ Proc.\ Contr. Bd. 17 (2007), S. 273–284
    13. Eißing, T. ; Waldherr, S. ; Allgöwer, F. ; Scheurich, P. ; Bullinger, E.: Response to Bistability in Apoptosis: Roles of Bax, Bcl-2, and Mitochondrial Permeability Transition Pores. In: Biophysical J. Bd. 92 (2007), S. 3332–3334
    14. Nagy, Z. ; Mahn, B. ; Franke, R. ; Allgöwer, F.: Evaluation study of an efficient output feedback nonlinear model predictive control for temperature tracking in an industrial batch reactor. In: Control Engineering Practice Bd. 15 (2007), S. 839–850
    15. Kaderali, L. ; Radde, N.: Inferring gene regulatory networks from expression data. In: , Studies in Computational Intelligence. Bd. 1 : Springer, 2007
    16. Ebenbauer, C. ; Allgöwer, F.: A Dissipation Inequality for the Minimum Phase Property of Nonlinear Control Systems. In: Bonivento, C. ; Marconi, L. ; Rossi, C. ; Isidori, A. (Hrsg.) ; Bonivento, C. ; Marconi, L. ; Rossi, C. ; Isidori, A. (Hrsg.): Advances in Control Theory and Applications, Lecture Notes in Control and Information Sciences. Bd. 353 : Springer Berlin / Heidelberg, 2007, S. 71–83
    17. Johnsen, J. ; Allgöwer, F.: Interconnection and Damping Assignment Passivity-Based Control of a Four-Tank System. In: Bullo, F. ; Fujimoto, K. (Hrsg.) ; Bullo, F. ; Fujimoto, K. (Hrsg.): Lagrangian and Hamiltonian Methods for Nonlinear Control 2006, Lecture Notes in Control and Information Sciences. Bd. 366 : Springer Berlin / Heidelberg, 2007, S. 111–122
    18. Chen, H. ; Gao, X. ; Wang, H. ; Findeisen, R.: On disturbance attenuation of nonlinear moving horizon control. In: Findeisen, R. ; Biegler, L. ; Allgöwer, F. (Hrsg.) ; Findeisen, R. ; Biegler, L. ; Allgöwer, F. (Hrsg.): Assessment and Future Directions of Nonlinear Model Predictive Control, Lecture Notes in Control and Information Sciences. Bd. 358 : Springer Berlin / Heidelberg, 2007, S. 283–294
    19. Diehl, M. ; Findeisen, R. ; Allgöwer, F.: A Stabilizing Real-time Implementation of Nonlinear Model Predictive Control. In: Biegler, L. ; Ghattas, O. ; Heinkenschloss, M. ; Keyes, D. ; van Bloem Wanders, B. (Hrsg.) ; Biegler, L. ; Ghattas, O. ; Heinkenschloss, M. ; Keyes, D. ; van Bloem Wanders, B. (Hrsg.): Real-Time PDE-Constrained Optimization. Philadephia, PA, USA : Society for Industrial and Applied Mathematics, 2007, S. 23–52
    20. Eißing, T. ; Waldherr, S. ; Allgöwer, F.: Modelling and Analysis of Cell Death Signalling. In: Queinnec, I. ; Tarbouriech, S. ; Garcia, G. ; Niculescu, S.-I. (Hrsg.) ; Queinnec, I. ; Tarbouriech, S. ; Garcia, G. ; Niculescu, S.-I. (Hrsg.): Biology and Control Theory: Current Challenges, Lecture Notes in Control and Information Sciences. Bd. 357 : Springer Berlin / Heidelberg, 2007, S. 161–180
    21. Raff, T. ; Allgöwer, F.: Observers with Impulsive Dynamical Behavior for Linear and Nonlinear Continuous-Time Systems. In: Proc.\ 46th IEEE Conf.\ Decision and Control (CDC). New Orleans, LA, USA, 2007, S. 4287–4292
    22. Münz, U. ; Papachristodoulou, A. ; Allgöwer, F.: Multi-Agent System Consensus in Packet-Switched Networks. In: Proc.\ European Control Conf.\ (ECC). Kos, Greece, 2007, S. 4598–4603
    23. Ebenbauer, C.: Detecting oscillatory behavior using Lyapunov functions. In: Proc.\ 46th IEEE Conf.\ Decision and Control (CDC). New Orleans, LA, USA, 2007, S. 1615–1620
    24. Geffen, D. ; Findeisen, R. ; Schliemann, M. ; Allgöwer, F. ; Guay, M.: The question of parameter identifiability for biochemical reaction networks considering the NF-$\kappa$B signal transduction pathway. In: Proc.\ 2nd Foundations of Systems Biology in Engineering (FOSBE). Stuttgart, Germany, 2007, S. 509–514
    25. Kim, J.-S. ; Allgöwer, F.: Nonlinear Observer-based Synchronization of Neuron Models. In: 3rd International IEEE Scientific Conference on Physics and Control. Potsdam, Germany, 2007
    26. Raff, T. ; Allgöwer, F.: Observer Design via Absolute Stability for a Class of Nonlinear Descriptor Systems. In: Proc.\ 7th IFAC Symp.\ Nonlinear Control Systems (NOLCOS). Pretoria, South Africa, 2007, S. 307–312
    27. Kim, J.-S. ; Allgöwer, F.: A nonlinear synchronization scheme for polynomial systems. In: Proc.\ American Control Conf.\ (ACC). New York City, NY, USA, 2007, S. 2588–2593
    28. Ebenbauer, C.: A dynamical system that computes eigenvalues and diagonalizes matrices with a real spectrum. In: Proc.\ 46th IEEE Conf.\ Decision and Control (CDC). New Orleans, LA, USA, 2007, S. 1704–1709
    29. Schöllig, A. ; Münz, U. ; Allgöwer, F.: Topology-Dependent Stability of a Network of Dynamical Systems with Communication Delays. In: Proc.\ European Control Conf.\ (ECC). Kos, Greece, 2007, S. 1197–1202
    30. Maess, J. ; Fleming, A. J. ; Allgöwer, F.: Simulation of Piezoelectric Tube Actuators by Reduced Finite Element Models for Controller Design. In: Proc.\ American Control Conf.\ (ACC). New York City, NY, USA, 2007, S. 4221–4226
    31. Radde, N. ; Kaderali, L.: Bayesian inference of gene regulatory networks using gene expression time series data. In: Hochreiter, S. ; Wagner, R. (Hrsg.) ; Hochreiter, S. ; Wagner, R. (Hrsg.): Bioinformatics Research and Development, BIRD07. Bd. 4414 : Springer, 2007
    32. Maess, J. ; Allgöwer, F.: Closed-Loop Simulation of Kelvin Probe Force Microscopy based on Reduced Finite Element Cantilever Modeling. In: 3rd International IEEE Scientific Conference on Physics and Control. Potsdam, Germany, 2007
    33. Blind, R. ; Münz, U. ; Allgöwer, F.: Almost Sure Stability and Transient Behavior of Stochastic Nonlinear Jump Systems Motivated by Networked Control Systems. In: Proc.\ 46th IEEE Conf.\ Decision and Control (CDC). New Orleans, LA, USA, 2007, S. 3327–3332
    34. Findeisen, R. ; Raff, T. ; Allgöwer, F.: Sampled-Data Nonlinear Model Predictive Control for Constrained Continuous Time Systems. In: Tarbouriech, S. ; Glattfelder, A. H. (Hrsg.) ; Tarbouriech, S. ; Glattfelder, A. H. (Hrsg.): Advanced Strategies in Control Systems with Input and Output Constraints, Lecture Notes in Control and Information Sciences. Bd. 346 : Springer Berlin / Heidelberg, 2007, S. 207–235
    35. Waldherr, S. ; Eißing, T. ; Chaves, M. ; Allgöwer, F.: Bistability preserving model reduction in apoptosis. In: Proc.\ 10th Int.\ IFAC Symp.\ Computer Appications in Biotechnology. Cancun, Mexico, 2007, S. 327–332
    36. Raff, T. ; Allgöwer, F.: An Impulsive Observer that Estimates the Exact State of a Linear Continuous-Time System in Predetermined Finite Time. In: Proc.\ 12th Mediterranean Conf.\ Control and Automation (MED). Athens, Greece, 2007. — available online http://dx.doi.org/10.1109/MED.2007.4433909
    37. Maldonado, Solvey ; Findeisen, Rolf ; Allgöwer, Frank: Phenomenological Mathematical Modeling and Analysis of Force-induced Bone Growth and Adaptation. In: Proc.\ 2nd Foundations of Systems Biology in Engineering (FOSBE). Stuttgart, Germany, 2007, S. 147–152
    38. Findeisen, R. ; Sjoberg, J. ; Allgöwer, F.: Model predictive control of continuous time nonlinear differential algebraic systems. In: Proc.\ 7th IFAC Symp.\ Nonlinear Control Systems (NOLCOS). Pretoria, South Africa, 2007, S. 165–171
    39. Wieland, P. ; Allgöwer, F.: Constructive Safety using Control Barrier Functions. In: Proc.\ 7th IFAC Symp.\ Nonlinear Control Systems (NOLCOS). Pretoria, South Africa, 2007, S. 473–478
    40. Münz, U. ; Allgöwer, F.: $L_2$-Gain Based Controller Design for Linear Systems with Distributed Delays and Rational Delay Kernels. In: Proc.\ 7th IFAC Symp.\ Time-Delay Systems. Nantes, France, 2007. — on CD, paper MEA-3
    41. Raff, T. ; Angrick, C. ; Findeisen, R. ; Kim, J.-S. ; Allgöwer, F.: Model Predictive Control for Nonlinear Time-Delay Systems. In: Proc.\ 7th IFAC Symp.\ Nonlinear Control Systems (NOLCOS). Pretoria, South Africa, 2007, S. 134–139
    42. Münz, U. ; Ebenbauer, C. ; Allgöwer, F.: Stability of Networked Systems with Multiple Delays Using Linear Programming. In: Proc.\ American Control Conf.\ (ACC). New York City, NY, USA, 2007, S. 5515–5520
    43. Wieland, P. ; Ebenbauer, C. ; Allgöwer, F.: Ensuring Task-Independent Safety for Multi-Agent Systems by Feedback. In: Proc.\ American Control Conf.\ (ACC). New York City, NY, USA, 2007, S. 3880–3885
    44. Waldherr, S. ; Allgöwer, F.: A feedback approach to bifurcation analysis in biochemical networks with many parameters. In: Proc.\ 2nd Foundations of Systems Biology in Engineering (FOSBE). Stuttgart, Germany, 2007, S. 479–484
    45. Waldherr, S. ; Eißing, T. ; Allgöwer, F.: Analysing biological feedback with tools from control theory. In: FEBS Advanced Lecture Course on Systems Biology, 2007. — Poster
    46. Reble, M. ; Münz, U. ; Allgöwer, F.: Diagnosis of Parametric Faults in Multivariable Nonlinear Systems. In: Proc.\ 46th IEEE Conf.\ Decision and Control (CDC). New Orleans, LA, USA, 2007, S. 366–371
    47. Knierim, K. L. ; Maess, J. ; Schneider, M. ; Allgöwer, F.: Regelung eines Achterbahn-Kettenliftes (2007)
    48. Maldonado, Solvey ; Findeisen, Rolf ; Allgöwer, Frank: Mathematical modeling of force induced bone growth and adaptation (2007)
    49. Eißing, Thomas: A systems science view on cell death signalling. Stuttgart, Germany, Institute for Systems Theory and Automatic Control, University of Stuttgart, 2007
    50. Rieber, Jochen M.: Control of Uncertain Systems with l1 and Quadratic Performance Objectives. Stuttgart, Germany, Institute for Systems Theory and Automatic Control, University of Stuttgart, 2007

  15. 2006

    1. Ebenbauer, C. ; Allgöwer, F.: Analysis and design of polynomial control systems using dissipation inequalities and sum of squares. In: Comp.\ & Chem.\ Eng. Bd. 30 (2006), S. 1601–1614
    2. Chaves, M. ; Sontag, E. D. ; Albert, R.: Methods of robustness analysis for Boolean models of gene control networks. In: IEE Systems Biology Bd. 153 (2006), S. 154–167
    3. Radde, N. ; Gebert, J. ; Forst, C.V.: Systematic component selection for gene-network refinement. In: Bioinformatics Bd. 22 (2006), S. 2674–2680
    4. Schweickhardt, T. ; Allgöwer, F.: A robustness approach to linear control of mildly nonlinear processes. In: Int.\ J.\ Robust and Nonlinear Control Bd. 17 (2006), S. 1163–1182
    5. Rieber, J. M. ; Allgöwer, F.: From $H_ınfty$ control to multiobjective control: an overview. In: at-Automatisierungstechnik Bd. 54 (2006), S. 437–449
    6. Mayne, D. ; Raković, S.V. ; Findeisen, R. ; Allgöwer, F.: Robust output feedback model predictive control of constrained linear systems. In: Automatica Bd. 42 (2006), S. 1217–1222
    7. Bars, R. ; Colaneri, P. ; de Souza, C.E. ; Dugard, L. ; Allgöwer, F. ; Kleimenov, A. ; Scherer, C.: Theory, algorithms and technology in the design of control systems. In: Annual Reviews in Control Bd. 30 (2006), S. 19–30
    8. Findeisen, R.: Nonlinear Model Predictive Control: A Sampled-Data Feedback Perspective. Düsseldorf : Fortschr.-Ber. VDI Reihe 8 Nr. 1087, VDI Verlag, 2006
    9. Rieber, J. M. ; Scherer, C. W. ; Allgöwer, F.: Robust $\ell_1$ performance analysis in face of parametric uncertainties. In: Proc.\ 45th IEEE Conf.\ Decision and Control (CDC). San Diego, CA, USA, 2006, S. 5826–5831
    10. Aßfalg, J. ; Allgöwer, F.: Fault diagnosis with structured augmented state models: Modeling, analysis, and design. In: Proc.\ 45th IEEE Conf.\ Decision and Control (CDC). San Diego, CA, USA, 2006, S. 1165–1170
    11. Raff, T. ; Allgöwer, F.: An EKF-based Observer for Nonlinear Time-Delay Systems. In: Proc.\ American Control Conf.\ (ACC). Minneapolis, MN, USA, 2006, S. 3130–3133
    12. Eißing, T. ; Waldherr, S. ; Allgöwer, F. ; Bullinger, E.: Modelling and Analysis of Death and Survival Signalling: Achievements and Trends. In: Workshop CNRS-NSF - Biology and control theory: current challenges. Toulouse, France, 2006
    13. Borchers, S. ; Maldonado, S. ; Findeisen, R. ; Allgöwer, F.: Modeling the bone remodeling cycle due to mechanical force. In: Bruzzone, A. G. ; Guasch, A. ; Piera, M. A. ; Rozenblit, J. (Hrsg.) ; Bruzzone, A. G. ; Guasch, A. ; Piera, M. A. ; Rozenblit, J. (Hrsg.): Proc.\ Int.\ Mediterranean Modelling Conf.\, 2nd European Modeling and Simulation Symp.\ (EMSS). Barcelona, Spain, 2006. — ISBN: 84-690-0726-2, S. 385–394
    14. Rieber, J. M. ; Scherer, C. W. ; Allgöwer, F.: On complexity issues in multiobjective controller design using convex optimization. In: Proc.\ 5th IFAC Symp.\ Robust Control Design. Toulouse, France, 2006. — available online http://dx.doi.org/10.3182/20060705-3-FR-2907.00003
    15. Schweickhardt, T. ; Allgöwer, F.: An approach to linear control of nonlinear processes. In: Proc.\ 16th European Symp.\ Computer Aided Process Engineering (ESCAPE), 9th Int.\ Symp.\ Process Systems Engineering (PSE). Garmisch-Partenkirchen, Germany, 2006, S. 1299–1304
    16. Maldonado, S. ; Borchers, S. ; Findeisen, R. ; Allgöwer, F.: Modeling bone adaptation and remodeling initiated by mechanical stimuli. In: Bruzzone, A. G. ; Guasch, A. ; Piera, M. A. ; Rozenblit, J. (Hrsg.) ; Bruzzone, A. G. ; Guasch, A. ; Piera, M. A. ; Rozenblit, J. (Hrsg.): Proc.\ Int.\ Mediterranean Modelling Conf.\, 2nd European Modeling and Simulation Symp.\ (EMSS). Barcelona, Spain, 2006. — ISBN: 84-690-0726-2, S. 403–409
    17. Bullinger, E. ; Findeisen, R. ; Kalamatianos, D. ; Wellstead, P.: System and control theory allows to further understanding of biological signal transduction. In: , 2006. — Proceedings of Workshop CNRS-NSF Biology and control theory: current challenges, Toulouse, France
    18. Ebenbauer, C. ; Allgöwer, F.: Polynomial Control Systems: Analysis and Design via Dissipation Inequalities. In: Proc. of the 7th Chemical Process Control Conference (CPC), Lake Lousie, Canada, 2006. — CDROM
    19. Maldonado, S. ; Borchers, S. ; Findeisen, R. ; Allgöwer, F.: Mathematical Modeling and Analysis of Force Induced Bone Growth. In: Proc.\ 28th Annual Int.\ Conf.\ IEEE Engineering in Medicine and Biology Society (EMBC). New York, NY, 2006, S. 3154–3157
    20. Waldherr, S. ; Allgöwer, F.: Hopf bifurcations and feedback gain in signaling pathways. In: Conference on Systems Biology of Mammalian Cells. Heidelberg, Germany, 2006. — Poster
    21. Aßfalg, J. ; Allgöwer, F.: Fault diagnosis of constrained nonlinear systems using structured augmented state models. In: Proc. IFAC SAFEPROCESS. Beijing, China, 2006, S. 1375–1380
    22. Eißing, T. ; Waldherr, S. ; Bullinger, E. ; Gondro, C. ; Sawodny, O. ; Allgöwer, F. ; Scheurich, P. ; Sauter, T.: Sensitivity analysis of programmed cell death and implications for crosstalk phenomena during Tumor Necrosis Factor stimulation. In: Proc.\ IEEE Int.\ Conf.\ Control Applications (CCA). Munich, Germany, 2006, S. 1746–1752
    23. Chaves, M. ; Eißing, T. ; Allgöwer, F.: Identifying mechanisms for bistability in an apoptosis network. In: Réseaux d’Interactions: Analyse, Modélisation et Simulation (RIAMS′06). Lyon, France, 2006
    24. Farina, M. ; Findeisen, R. ; Bullinger, E. ; Bittanti, S. ; Allgöwer, F. ; Wellstead, P.: Results towards Identifiability Properties of Biochemical Reaction Networks. In: Proc.\ 45th IEEE Conf.\ Decision and Control (CDC). San Diego, CA, USA, 2006, S. 2104–2109
    25. Raff, T. ; Lachner, F. ; Allgöwer, F.: A Finite Time Unknown Input Observer for Linear Systems. In: Proc.\ 11th Mediterranean Conf.\ Control and Automation (MED). Ancona, Italy, 2006. — available online http://dx.doi.org/10.1109/MED.2006.328795
    26. Raff, T. ; Huber, S. ; Nagy, Z. K. ; Allgöwer, F.: Nonlinear Model Predictive Control of a Four Tank System: An Experimental Stability Study. In: Proc.\ IEEE Int.\ Conf.\ Control Applications (CCA). Munich, Germany, 2006, S. 237–242
    27. Herceg, M. ; Raff, T. ; Findeisen, R. ; Allgöwer, F.: Nonlinear Model Predictive Control of a Turbocharged Diesel Engine. In: Proc.\ IEEE Int.\ Conf.\ Control Applications (CCA). Munich, Germany, 2006, S. 2766–2771
    28. Lepore, R. ; Vande Wouwer, A. ; Remy, M. ; Findeisen, R. ; Nagy, Z.K. ; Allgöwer, F.: Scheduled optimization of an MMA polymerization process. In: Proc.\ IFAC Int.\ Symp.\ Advanced Control of Chemical Processes (ADCHEM). Gramado, Brazil, 2006, S. 695–703
    29. Waldherr, S. ; Eißing, T. ; Chaves, M. ; Allgöwer, F.: Preservation of bistability in the reduction of an apoptosis model. In: Genomes To Systems Conference. Manchester, UK, 2006. — Poster
    30. Mayne, D. ; Raković, S.V. ; Findeisen, R. ; Allgöwer, F.: Robust output feedback model predictive control for constrained linear systems under uncertainty based on feed forward and positive invariant feedback control. In: Proc.\ 45th IEEE Conf.\ Decision and Control (CDC). San Diego, CA, USA, 2006, S. 6618–6623
    31. Chaves, M. ; Sontag, E.D. ; Albert, R.: Structure and timescale analysis in genetic regulatory networks. In: Proc.\ 45th IEEE Conf.\ Decision and Control (CDC), 2006, S. 2358–2363
    32. Schweickhardt, T. ; Allgöwer, F.: Good or bad -- when is plant nonlinearity an obstacle for control? In: Proc.\ IFAC Int.\ Symp.\ Advanced Control of Chemical Processes (ADCHEM). Gramado, Brazil, 2006, S. 37–44
    33. Eißing, T. ; Sauter, T. ; Schliemann, M. ; Bullinger, E. ; Allgöwer, F. ; Sawodny, O. ; Scheurich, P.: Mathematical modeling of TNF induced apoptotic and anti-apoptotic crosstalk in mammalian cells. In: Conference on Systems Biology of Mammalian Cells (SBMC), 2006, S. 66
    34. Schweickhardt, T. ; Schumm, P. ; Münz, U. ; Allgöwer, F.: Integration of E-Learning Modules in Automatic Control Education. In: Proc.\ 7th IFAC Symp.\ Advances in Control Education. Madrid, Spain, 2006. — available online http://www.ifac-papersonline.net/Detailed/29698.html
    35. Aßfalg, J. ; Allgöwer, F. ; Fritz, M.: Constrained derivative-free augmented state estimation for a diesel engine air path. In: Proc.\ 14th IFAC Symp.\ System Identification (SYSID). Newcastle, Australia, 2006, S. 1382–1387
    36. Wieland, P. ; Meurer, T. ; Graichen, K. ; Zeitz, M.: Feedforward control design under input constraints for a tubular reactor model. In: Proc.\ 45th IEEE Conf. Decision and Control (CDC), 2006, S. 3968–3973
    37. Rieber, J. M. ; Allgöwer, F.: Gain-scheduling in the $\ell_1$ framework: a flight control example. In: Proc.\ 5th IFAC Symp.\ Robust Control Design. Toulouse, France, 2006. — available online http://dx.doi.org/10.3182/20060705-3-FR-2907.00115
    38. Chaves, M.: Stability of rate-controlled zero-deficiency networks. In: Proc.\ 45th IEEE Conf.\ Decision and Control (CDC), 2006, S. 5766–5771
    39. Ebenbauer, C. ; Allgöwer, F.: Stability analysis for time-delay systems using Rekasius’s substitution and sum of squares. In: Proc.\ 45th IEEE Conf.\ Decision and Control (CDC). San Diego, CA, USA, 2006, S. 5376–5381
    40. Journée, M. ; Schweickhardt, T. ; Allgöwer, F.: Comparative assessment of old and new suboptimal control schemes on three example processes. In: Proc.\ 13th IFAC Workshop on Control Applications of Optimization. Paris-Cachan, France, 2006, S. 189–194
    41. Gebert, J. ; Radde, N.: A new approach for modeling prokaryotic biochemical networks with differential equations. In: Dubois, D. (Hrsg.) ; Dubois, D. (Hrsg.): AIP Conference Proceedings of 7th International Conference on Computing Anticipatory Systems (CASYS05). Bd. 839, 2006
    42. Shim, H. ; Lee, J. ; Kim, J.-S. ; Back, J.: Output Regulation Problem and Solution for LTV Minimum Phase Systems with Time-varying Exosystem. In: SICE-ICASE International Joint Conference 2006, 2006
    43. Eißing, T. ; Allgöwer, F. ; Scheurich, P. ; Bullinger, E.: Bistability in cell signalling and applications to apoptosis - principles and robustness aspects. In: Proceedings of the Hamilton Institute International Workshop on Systems Biology. NUI Maynooth, Ireland, 2006, S. 39
    44. Streif, S. ; Findeisen, R. ; Bullinger, E.: Relating Cross Grammians and Sensitivity Ananlysis in Systems Biology. In: Proc.\ 17th Int.\ Symp.\ Mathematical Theory of Networks and Systems (MTNS). Kyoto, 2006, S. 437–442
    45. Alvarado, I. ; Findeisen, R. ; Kühl, P. ; Limón, D. ; Allgöwer, F.: Iteratively Improving Moving Horizon Observers for Repetitive Processes (2006). — Proceedings of the joint CTS-HYCON workshop
    46. Maldonado, S. ; Borchers, S. ; Findeisen, R. ; Allgöwer, F.: Modeling and Analysis of Force Induced Bone Growth (2006)
    47. Borchers, S. ; Maldonado, S. ; Findeisen, R. ; Allgöwer, F.: Modeling the bone remodeling cycle due to mechanical force (2006). — International Conference on Progress in Bone Mineral Research 2006
    48. Schweickhardt, T.: Nonlinearity Assessment and Linear Control of Nonlinear Systems. Stuttgart, Germany, Institute for Systems Theory and Automatic Control, University of Stuttgart, 2006
    49. Eißing, T.: Apoptosis Signaling: Mathematical Modeling and Analysis as a Bistable System, 2006. — Talk at the University of Massachusetts Amherst, MA, USA
    50. Eißing, T.: Simplicity and Complexity in Modeling and Analysis of Biological Signal Transduction: About and Beyond Cell Death, 2006. — Talk at the 3rd International Symposium of the IST, Hirschegg, Austria
    51. Waldherr, S.: Negative feedback loops in biochemical networks, 2006. — 3. Stuttgarter Systemtheorie-Kolloquium

  16. 2005

    1. Eißing, T. ; Allgöwer, F. ; Bullinger, E.: Robustness properties of apoptosis models with respect to parameter variations and stochastic influences. In: IEE Systems Biology Bd. 152 (2005), S. 221–228
    2. Stemmer, A. ; Schitter, G. ; Rieber, J. M. ; Allgöwer, F.: Control strategies towards faster quantitative imaging in atomic force microscopy. In: European J.\ Control Bd. 11 (2005), S. 384–395
    3. Allgöwer, F.: Editorial: Nonlinear Model Predictive Control. In: IEE Control Theory Appl. Bd. 152 (2005), S. 257–258
    4. Bullinger, E. ; Allgöwer, F.: Adaptive $łambda$-tracking for nonlinear higher relative degree systems. In: Automatica Bd. 41 (2005), S. 1191–2000
    5. Ebenbauer, C. ; Raff, T. ; Allgöwer, F.: Passivity-based Feedback Design for Polynomial Control Systems. In: at-Automatisierungstechnik Bd. 8 (2005), S. 356–366
    6. Weidl, G. ; Madsen, A.L. ; Israelsson, S.: Applications of Object-Oriented Bayesian Networks for Condition Monitoring, Root Cause Analysis and Decision Support on Operation of Complex Continuous Processes. In: Comp.\ & Chem.\ Eng. Bd. 29 (2005), S. 1996–2009
    7. Wang, G.L. ; Zeitz, M. ; Allgöwer, F.: Flatness-based optimal noncausal output transitions for constrained nonlinear systems: Case study on an isothermal continuously stirred tank reactor. In: IEE Control Theory Appl. Bd. 152 (2005), S. 105–112
    8. Nagy, Z.K ; Roman, R. ; Agachi, S.P. ; Allgöwer, F.: First principles modeling and nonlinear optimization based estimation and control of a fluid catalytic cracking unit. In: Studia Universitatis Babes-Bolyai. Ser.\ Chemia (2005). — Paper No. 10
    9. Diehl, M. ; Findeisen, R. ; Bock, H.G. ; Schlöder, J.P. ; Allgöwer, F.: Nominal stability of the real-time iteration scheme for nonlinear model predictive control. In: IEE Control Theory Appl. Bd. 152 (2005), S. 296–308
    10. Raff, T. ; Ebenbauer, C. ; Findeisen, R. ; Allgöwer, F.: Remarks on Moving Horizon State Estimation with Guaranteed Convergence. In: Meurer, T. ; Graichen, K. ; Gilles, E. D. (Hrsg.) ; Meurer, T. ; Graichen, K. ; Gilles, E. D. (Hrsg.): Control and Observer Design for Nonlinear Finite and Infinite Dimensional Systems, Lecture Notes in Control and Information Sciences : Springer Berlin / Heidelberg, 2005, S. 67–80
    11. Raff, T. ; Findeisen, R. ; Ebenbauer, C. ; Allgöwer, F.: Nonlinear Model Predictive Control and Sum of Squares Techniques. In: Diehl, M. ; Mombaur, K. (Hrsg.) ; Diehl, M. ; Mombaur, K. (Hrsg.): Fast Motions in Biomechanics and Robotics - Optimization and Feedback Control, Lecture Notes in Control and Information Sciences. Bd. 340 : Springer Berlin / Heidelberg, 2005, S. 325–344
    12. Bullinger, E.: System Analysis of a Programmed Cell Death Model. In: Proc.\ 44th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC), 2005, S. 7994–7999
    13. Roman, R. ; Nagy, Z.K. ; Allgöwer, F. ; Agachi, S.P.: Dynamic Modeling and Nonlinear Model Predictive Control of a Fluid Catalytic Cracking Unit. In: Science, E. (Hrsg.) ; Science, E. (Hrsg.): Proc.\ 15th European Symp.\ Computer Aided Process Engineering (ESCAPE). Barcelona, Spain, 2005, S. 1363–1368
    14. Nagy, Z.K ; Roman, R. ; Agachi, S.P. ; Allgöwer, F.: A real-time approach for moving horizon estimation based nonlinear model predictive control of a fluid catalytic cracking unit. In: Proc.\ 7th World Congress of Chemical Engineering. Glasgow, Scotland, 2005, S. 504–510
    15. Sauter, T. ; Saez-Rodriguez, J. ; Conzelmann, H. ; Eißing, T. ; Gilles, E. D. ; Scheurich, P.: Cellect, project C4: Mathematical modeling of cellular regulation networks of apoptosis and cell proliferation. In: 2nd BMBF Colloquium ‚Proteomics‘. Potsdam, Germany, 2005. — May 30 - Jun 1
    16. Ebenbauer, C. ; Renz, J. ; Allgöwer, F.: Polynomial Feedback and Observer Design using Nonquadratic Lyapunov Functions. In: Proc.\ 44th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC). Seville, Spain, 2005, S. 7587–7592
    17. Wolfrum, P. ; Vargas, A. ; Gallivan, M. ; Allgöwer, F.: Complexity reduction of a thin film deposition model using a trajectory based nonlinear model reduction technique. In: Proc.\ American Control Conf.\ (ACC). Portland, OR, USA, 2005, S. 2566–2571
    18. Ebenbauer, C. ; Raff, T. ; Allgöwer, F.: A duality-based LPV Approach to Polynomial State Feedback Design. In: Proc.\ American Control Conf.\ (ACC). Portland, OR, USA, 2005, S. 703–708
    19. Findeisen, R. ; Allgöwer, F.: Robustness Properties and Output Feedback of Optimization Based Sampled-data Open-loop feedback. In: Proc.\ 44th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC). Seville, Spain, 2005, S. 54–59
    20. Schweickhardt, T. ; Allgöwer, F.: Linear modeling error and steady-state behaviour of nonlinear dynamical systems. In: Proc.\ 44th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC). Seville, Spain, 2005, S. 8150–8155
    21. Roman, R. ; Nagy, Z.K. ; Allgöwer, F. ; Agachi, S.P. ; Cristea, M.: Complex dynamic modeling and linear model predictive control of a fluid catalytic cracking process. In: Proc.\ 14th Romanian Int.\ Conf.\ Chemistry and Chemical Engineering (RICCE). Bucharest, Romania, 2005, S. 116–123
    22. Raff, T. ; Ebenbauer, C. ; Allgöwer, F.: Nonlinear Model Predictive Control: A Passivity-based Approach. In: International Workshop on Assessment and Future Directions of Nonlinear Model Predictive Control, 2005. — CD
    23. Bars, R. ; Colaneri, P. ; de Souza, C.E. ; Dugard, L. ; Allgöwer, F. ; Kleimenov, A. ; Scherer, C.: Theory, algorithms and technology in the design of control systems. In: Proc.\ 16th IFAC World Congress. Prague, Czech Republic, 2005, S. 122–131
    24. Eißing, T. ; Cimatoribus, C. ; Allgöwer, F. ; Scheurich, P. ; Bullinger, E.: System Properties of the Core Reactions of Apoptosis. In: 1st FEBS Advanced Lecture Course Systems Biology. Gosau, Austria, 2005, S. 164
    25. Raff, T. ; Menold, P. H. ; Ebenbauer, C. ; Allgöwer, F.: A Finite Time Functional Observer for Linear Systems. In: Proc.\ 44th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC). Seville, Spain, 2005, S. 7198–7203
    26. Sauter, T. ; Schliemann, M. ; Eißing, T. ; Bullinger, E. ; Gilles, E. D. ; Allgöwer, F. ; Scheurich, P.: Mathematical modeling of TNF induced apoptotic and anti-apoptotic crosstalk in mammalian cells. In: 6th International Conference on Systems Biology. Boston, MA, 2005
    27. Cimatoribus, C. ; Eißing, T. ; Elvassore, N. ; Allgöwer, F. ; Bullinger, E.: Model discrimination tools in apoptosis. In: Proc.\ 3rd Foundations of Systems Biology in Engineering (FOSBE). Santa Barbara, CA, USA, 2005, S. 197–200
    28. Rieber, J. M. ; Fritsch, A. ; Allgöwer, F.: State-space formulas for gain-scheduled $\ell_1$-optimal controllers. In: Proc.\ American Control Conf.\ (ACC). Portland, OR, USA, 2005, S. 609–614
    29. Münz, U. ; Zufiria, P. J.: Parametric Fault Diagnosis in Stochastic Dynamical Systems. In: Proceedings of the 19th CEDYA 2005, Madrid, Spain, 2005
    30. Ofiteru, I.R. ; Lavric, V. ; Allgöwer, F. ; Bullinger, E.: Sensitivity Analysis of Escherichia coli’s Tricarboxilic Acid Cycle under Anaerobic Conditions. In: Proc.\ 3rd Foundations of Systems Biology in Engineering (FOSBE). Santa Barbara, CA, USA, 2005, S. 337–340
    31. Hüttner, C. ; Rieber, J. M. ; Allgöwer, F. ; Hugel, J.: Compensation of time-varying harmonic disturbances on nonlinear bearingless slice motors. In: Proc.\ 16th IFAC World Congress. Prague, Czech Republic, 2005. — available online http://dx.doi.org/10.3182/20050703-6-CZ-1902.02166
    32. Rieber, J. M. ; Schitter, G. ; Stemmer, A. ; Allgöwer, F.: Experimental application of $\ell_1$-optimal control in atomic force microscopy. In: Proc.\ 16th IFAC World Congress. Prague, Czech Republic, 2005. — available online http://dx.doi.org/10.3182/20050703-6-CZ-1902.00511
    33. Nagy, Z.K ; Mahn, B. ; Ruediger, F. ; Allgöwer, F.: Nonlinear model predictive control of batch processes: an industrial case study. In: Proc.\ 16th IFAC World Congress. Prague, Czech Republic, 2005. — available online http://dx.doi.org/10.3182/20050703-6-CZ-1902.01576
    34. Alvarado, I. ; Findeisen, R. ; Kühl, P. ; Limón, D. ; Allgöwer, F.: State Estimation for Repetitive Processes Using Iteratively Improving Moving Horizon Observers. In: Proc.\ 44th IEEE Conf.\ Decision and Control (CDC), European Control Conf.\ (ECC). Seville, Spain, 2005, S. 7756–7761
    35. Ebenbauer, C. ; Raff, T. ; Allgöwer, F.: A Simple Separation Result for Control Affine Systems. In: Proc.\ 16th IFAC World Congres, 2005. — available online http://dx.doi.org/10.3182/20050703-6-CZ-1902.00831
    36. Rehm, A. ; Allgöwer, F.: $H_ınfty$ Control of Descriptor Systems in a Differential Inclusion Setting. In: Proc.\ American Control Conf.\ (ACC). Portland, OR, USA, 2005, S. 4303–4308
    37. Findeisen, R. ; Allgöwer, F.: Output-Feedback Nonlinear Model Predictive Control for Chemical Processes without the Need of Fast Observers (2005)
    38. Eißing, T. ; Scheurich, P. ; Allgöwer, F.: To Be or Not to Be - Mathematical Systems Theory to Analyze Biological Signal Processing (2005)
    39. Findeisen, R. ; Allgöwer, F.: Modeling and Analysis of Bone Growth and Remodeling (2005)
    40. Roman, R. ; Nagy, Z.K ; Agachi, S.P. ; Allgöwer, F.: First principles modeling and nonlinear optimization based estimation and control of a fluid catalytic cracking unit (2005)
    41. Ebenbauer, Christian: Polynomial Control Systems: Analysis and Design via Dissipation Inequalities and Sum of Square. Stuttgart, Germany, Institute for Systems Theory and Automatic Control, University of Stuttgart, 2005
    42. Rieber, J. M. ; Allgöwer, F.: Mixed $\ell_1/H_ınfty$ control of MIMO systems: a linear matrix inequality approach (Technical report). Stuttgart, Germany : Institute for Systems Theory in Engineering, University of Stuttgart, 2005
    43. Weidl, G. ; Madsen, A.L. ; Israelsson, S.: Object-Oriented Bayesian Networks for Condition Monitoring, Root Cause Analysis and Decision Support on Operation of Complex Continuous Processes: Methodology & Applications (IST Preprint Series 2005-1) : Institute for Systems Theory in Engineering, 2005. — 36 pages, shorter version to appear in Computers & Chemical Engineering, 2005
    44. Eißing, T.: Mathematical Modeling and System Analysis of Tumor Necrosis Factor Signaling Pathways, 2005. — Talk at the 2nd International Symposium of the IST, Hirschegg, Austria

  17. 2004

    1. Schitter, G. ; Allgöwer, F. ; Stemmer, A.: A new control strategy for high-speed atomic force microscopy. In: Nanotechnology Bd. 15 (2004), S. 108–114
    2. Rieber, J. M. ; Wehlan, H. ; Allgöwer, F.: The ROBORACE contest. In: IEEE Control Systems Magazine Bd. 24 (2004), S. 57–60
    3. Rehm, A. ; Allgöwer, F.: $H_ınfty$ Regelung von zeitdiskreten Deskriptorsystemen. In: at-Automatisierungstechnik Bd. 52 (2004), S. 440–445
    4. Sauter, T. ; Bullinger, E.: Detailed mathematical modeling of metabolic and regulatory networks. In: BIOforum Europe Bd. 2004 (2004), S. 62–64
    5. Schumm, P. ; Schweickhardt, T. ; Bullinger, E. ; Allgöwer, F.: Integration und Interaktion: Möglichkeiten des Einsatzes von Notebook und Internet in der regelungstechnischen Ausbildung. In: at-Automatisierungstechnik Bd. 2 (2004), S. 81–89
    6. Schitter, G. ; Stemmer, A. ; Allgöwer, F.: Robust two-degree-of-freedom control of an atomic force microscope. In: Asian J.\ Control Bd. 6 (2004), S. 156–163
    7. Conzelmann, H. ; Saez-Rodriguez, J. ; Sauter, T. ; Bullinger, E. ; Allgöwer, F. ; Gilles, E. D.: Reduction of mathematical models of signal transduction networks: Simulation-based approach applied to EGF receptor signaling. In: IEE Systems Biology Bd. 1 (2004), S. 159–169
    8. Allgöwer, F. ; Findeisen, R. ; Nagy, Z.: Nonlinear Model Predictive Control: From Theory to Application. In: J.\ Chin.\ Inst.\ Chem.\ Eng. Bd. 35 (2004), S. 299–315
    9. Eißing, T. ; Conzelmann, H. ; Gilles, E. D. ; Allgöwer, F. ; Bullinger, E. ; Scheurich, P.: Bistability analyses of a caspase activation model for receptor induced apoptosis. In: J.\ Biol.\ Chem. Bd. 279 (2004), S. 36892–36897
    10. Rieber, J. M. ; Taylor, D. G.: Integrated control system and mechanical design of a compliant two-axes mechanism. In: Mechatronics Bd. 14 (2004), S. 1069–1087
    11. Kremling, A. ; Fischer, S. ; Doyle III, F.J. ; Gadkar, K. ; Sauter, T. ; Bullinger, E. ; Allgöwer, F. ; Gilles, E.D.: A benchmark for methods in reverse engineering and model discrimination: problem formulation and solutions. In: Genome Research Bd. 14 (2004), S. 1773–1785
    12. Rehm, A.: Control of Linear Descriptor Systems: A Matrix Inequality Approach. Düsseldorf : Fortschr.-Ber. VDI Reihe 8 Nr. 1019, VDI Verlag, 2004
    13. Schweickhardt, T. ; Allgöwer, F.: Quantitative nonlinearity assessment -- An introduction to nonlinearity measures. In: Georgiadis, M. ; Seferlis, P. (Hrsg.) ; Georgiadis, M. ; Seferlis, P. (Hrsg.): The Integration of Design and Control, Computer-aided chemical engineering : Elsevier Science, 2004, S. 76–95
    14. Nagy, Z.K ; Allgöwer, F.: Nonlinear model predictive control: from chemical industries to microelectronics. In: Proc.\ 43rd IEEE Conf.\ Decision and Control (CDC). Atlantis, Paradise Island, Bahamas, 2004, S. 4249–4254
    15. Vargas, A. ; Allgöwer, F.: Model reduction for process control using iterative nonlinear identification. In: Proc.\ American Control Conf.\ (ACC). Boston, MA, USA, 2004, S. 2915–2920
    16. Weidl, G. ; Rode, M. ; Horch, A. ; Shaw, C. ; Vollmer, A.: Automatische Ursachen Analyse von Fehlern und Störungen in Walzwerken - eine Übersicht und praktische Beispiele. In: Tagungsband 5.AKIDA, Aachener Kolloquium f�r Instandhaltung, Diagnose und Anlagen�berwachung, Aachen,Germany, 2004. — ISBN 3-86130-217-9, to appear as invited paper in Journal „Stahl und Eisen“, 2005, S. 399–410
    17. Ebenbauer, C. ; Allgöwer, F.: Minimum-Phase Property of Nonlinear Systems in Terms of a Dissipation Inequality. In: Proc.\ American Control Conf.\ (ACC). Boston, MA, USA, 2004, S. 1737–1742
    18. Eißing, T. ; Conzelmann, H. ; Zimmermann, G. ; Branschädel, M. ; Cimatoribus, C. ; Sauter, T. ; Gilles, E. D. ; Allgöwer, F. ; u. a.: Mathematical modeling applied to caspase activation downstream of death receptors: A missing guardian for caspase 8. In: 2nd International Symposium of the SFB 495. Hohenheim, Germany, 2004
    19. Nagy, Z.K ; Agachi, S. P.: Internet-based interactive remote laboratory for educational experiments. In: AIChE (Hrsg.) ; AIChE (Hrsg.): Proc. of the AIChE Annual Meeting, 2004
    20. Ebenbauer, C. ; Findeisen, R. ; Allgöwer, F.: Nonlinear High-Gain Observer Design via Semidefinite Programming. In: Proc.\ 2nd IFAC Symp.\ Systems, Structure, and Control (SSSC). Oaxaca, Mexico, 2004, S. 751–756
    21. Rehm, A. ; Allgöwer, F.: $H_ınfty$ control of descriptor systems: An application from binary distillation control. In: Proc.\ IFAC Int.\ Symp.\ Advanced Control of Chemical Processes (ADCHEM). Hong Kong, China, 2004, S. 351–356
    22. Raff, T. ; Ebenbauer, C. ; Allgöwer, F.: Feedback Passivation of an Electrostatic Microactuator: A Semidefinite Programming Approach. In: Proc.\ 6th IFAC Symp.\ Nonlinear Control Systems (NOLCOS). Stuttgart, Germany, 2004, S. 1181–1186
    23. Ebenbauer, C. ; Allgöwer, F.: Computer-aided stability analysis of differential-algebraic equations. In: Proc.\ 6th IFAC Symp.\ Nonlinear Control Systems (NOLCOS). Stuttgart, Germany, 2004, S. 1025–1029
    24. Eißing, T. ; Conzelmann, H. ; Gilles, E. D. ; Allgöwer, F. ; Bullinger, E. ; Scheurich, P.: Mathematical modeling and system analysis of caspase activation. In: International Workshop on Theoretical Biophysics. Hiddensee Island, Germany, 2004, S. 11
    25. Raff, T. ; Ebenbauer, C. ; Allgöwer, F.: Passivity-based Nonlinear Dynamic Output Feedback Design: A Semidefinite Programming Approach. In: Proc.\ 43rd IEEE Conf.\ Decision and Control (CDC). Atlantis, Paradise Island, Bahamas, 2004, S. 5409–5414
    26. Lepore, R. ; Findeisen, R. ; Vande Wouwer, A. ; Allgöwer, F. ; Remy, M.: On open- and closed-loop control of an MMA polymerization reactor. In: Proc.\ 23rd Benelux Meeting on Systems and Control. Helvoirt, The Netherlands, 2004
    27. Shastri, Y. ; Schweickhardt, T. ; Allgöwer, F.: Plant and Control-relevant Nonlinearity Analysis of a CSTR: a Case Study. In: Proc.\ 7th IFAC Symp.\ Dynamics and Control of Process Systems (DYCOPS). Cambridge, MA, USA, 2004, S. 89–94
    28. Nagy, Z. ; Findeisen, R. ; Allgöwer, F.: Hierarchical nonlinear model predictive control of an industrial batch reactor. In: Proc.\ Symp.\ Knowledge Driven Batch Processes (BatchPro). Poros, Greece, 2004, S. 203–210
    29. Rehm, A. ; Allgöwer, F.: Causal $ H_ınfty$ Control of Discrete-time Descriptor Systems: An LMI Approach in two Steps. In: Proc.\ 16th Int.\ Symp.\ Mathematical Theory of Networks and Systems (MTNS). Leuven, Belgium, 2004
    30. Weidl, G.: Adaptive Risk Assessment in Complex Large Scale Processes with Reduced Computational Complexity. In: 9th International Conference on Industrial Engineering Theory, Applications and Practice. Auckland, New Zealand, 2004, S. 72–78
    31. Findeisen, R. ; Allgöwer, F.: Min-max output feedback predictive control with guaranteed stability. In: Proc.\ Int.\ Symp.\ Mathematical Theory of Networks and Systems (MTNS). Katholieke Universiteit Leuven, Belgium, 2004. — ISBN 90-5682-517-8, CD-Rom
    32. Nagy, Z.K ; Allgöwer, F. ; Ruediger, F. ; Mahn, B.: Efficient tool for nonlinear model predictive control of batch processes. In: Proc.\ 12th Mediterranean Conf.\ Control and Automation (MED). Kusadasi, Turkey, 2004, S. 1128–1134
    33. Lepore, R. ; Findeisen, R. ; Nagy, Z.K. ; Allgöwer, F. ; Vande Wouwer, A.: Optimal Open- and Closed-Loop Control for Disturbance Rejection in Batch Process Control: a MMA Polymerization Example. In: Proc.\ Symp.\ Knowledge Driven Batch Processes (BatchPro). Poros, Greece, 2004, S. 235–241
    34. Raff, T. ; Findeisen, R. ; Ebenbauer, C. ; Allgöwer, F.: Model Predictive Control of Discrete Time Polynomial Control Systems: A Convex Approach. In: Proc.\ 2nd IFAC Symp.\ Systems, Structure, and Control (SSSC). Oaxaca, Mexico, 2004, S. 158–163
    35. Findeisen, R. ; Allgöwer, F.: Stabilization Using Sampled-data Open-Loop Feedback -- a Nonlinear Model Predictive Control Perspective. In: Proc.\ 6th IFAC Symp.\ Nonlinear Control Systems (NOLCOS). Stuttgart, Germany, 2004, S. 735–740
    36. Eißing, T. ; Conzelmann, H. ; Gilles, E. D. ; Allgöwer, F. ; Bullinger, E. ; Scheurich, P.: Mathematical modeling applied to caspase activation reveals a requirement for additional control. In: 5th International Conference on Systems Biology. Heidelberg, Germany, 2004, S. 207
    37. Findeisen, R. ; Allgöwer, F.: Computational Delay in Nonlinear Model Predictive Control. In: Proc.\ IFAC Int.\ Symp.\ Advanced Control of Chemical Processes (ADCHEM). Hong Kong, China, 2004, S. 427–432
    38. Findeisen, R. ; Raff, T. ; Allgöwer, F.: Prädiktive Ausgangsregelung nichtlinearer verfahrenstechnischer Prozesse: Praktische und theoretische Aspekte (2004)
    39. Nagy, Z.K. ; Findeisen, R. ; Allgöwer, F.: Nonlinear Model Predictive Control of Batch Processes (2004)
    40. Nagy, Z. ; Findeisen, R. ; Allgöwer, F.: Nonlinear model predictive control approach for robust run-to-run control of batch processes (2004)
    41. Findeisen, R. ; Allgöwer, F.: Prädiktive Ausgangsregelung mit Stabilitätsgarantie (2004)
    42. Rieber, J. M. ; Allgöwer, F. ; Stemmer, A.: Schneller sehen durch Regelungstechnik -- Moderne Bildgebung in der Nanotechnologie (2004)
    43. Menold, P. H.: Finite and Asymptotic Time State Estimation for Linear and Nonlinear Systems. Stuttgart, Germany, Institute for Systems Theory and Automatic Control, University of Stuttgart, 2004
    44. Findeisen, Rolf: Nonlinear model predictive control : a sampled data feedback perspective. Stuttgart, Germany, Institute for Systems Theory and Automatic Control, University of Stuttgart, 2004
    45. Schweickhardt, T. ; Allgöwer, F.: Trajectory-based approximate optimal controller synthesis : Institute for Systems Theory in Engineering, University of Stuttgart, Germany, 2004

  18. 2003

    1. Findeisen, R. ; Imsland, L. ; Allgöwer, F. ; Foss, B.A.: State and Output Feedback Nonlinear Model Predictive Control: An Overview. In: European J.\ Control Bd. 9 (2003), S. 179–195
    2. Ederer, M. ; Sauter, T. ; Bullinger, E. ; Gilles, E.D. ; Allgöwer, F.: An Approach for Dividing Models of Biological Reaction Networks into Functional Units. In: Simulation: Trans.\ Society for Modeling and Simulation International Bd. 79 (2003), S. 703–716
    3. Imsland, L. ; Findeisen, R. ; Bullinger, E. ; Allgöwer, F. ; Foss, B.A.: A note on stability, robustness and performance of output feedback nonlinear model predictive control. In: J.\ Proc.\ Contr. Bd. 13 (2003), S. 633–644
    4. Diehl, M. ; Findeisen, R. ; Schwarzkopf, S. ; Uslu, I. ; Allgöwer, F. ; Bock, H.G. ; Schlöder, J.P.: An Efficient Approach for Nonlinear Model Predictive Control of Large-Scale Systems. Part II: Experimental Evaluation Considering the Control of a Distillation Column. In: at-Automatisierungstechnik Bd. 51 (2003), S. 22–29
    5. Imsland, L. ; Findeisen, R. ; Allgöwer, F. ; Foss, B.A.: Output feedback stabilization with nonlinear predictive control: Asymptotic properties. In: Int.\ J.\ Modelling, Identification and Control Bd. 24 (2003), S. 169–179
    6. Magni, L. ; de Nicolao, G. ; Scattolini, R. ; Allgöwer, F.: Robust model predictive control for nonlinear discrete-time systems. In: Int.\ J.\ Robust and Nonlinear Control Bd. 13 (2003), S. 229–246
    7. Findeisen, R. ; Imsland, L. ; Allgöwer, F. ; Foss, B.A.: Output Feedback Stabilization for Constrained Systems with Nonlinear Model Predictive Control. In: Int.\ J.\ Robust and Nonlinear Control Bd. 13 (2003), S. 211–227
    8. Findeisen, R. ; Imsland, L. ; Allgöwer, F. ; Foss, B.A.: Towards a Sampled-Data Theory for Nonlinear Model Predictive Control. In: Kang, C. ; Xiao, M. ; Borges, W. (Hrsg.) ; Kang, C. ; Xiao, M. ; Borges, W. (Hrsg.): New Trends in Nonlinear Dynamics and Control, and their Applications, Lecture Notes in Control and Information Sciences. Bd. 295 : Springer Berlin / Heidelberg, 2003, S. 295–311
    9. Findeisen, R. ; Allgöwer, F.: The Quasi-Infinite Horizon Approach to Nonlinear Model Predictive Control. In: Zinober, A. ; Owens, D. (Hrsg.) ; Zinober, A. ; Owens, D. (Hrsg.): Nonlinear and Adaptive Control, Lecture Notes in Control and Information Sciences. Bd. 281 : Springer Berlin / Heidelberg, 2003, S. 89–108
    10. Schweickhardt, T. ; Allgöwer, F. ; Doyle III, F. J.: The optimal control law nonlinearity measure: Improving control-relevant nonlinearity assessment. In: AIChE Annual Meeting. San Francisco, CA, USA, 2003. — Paper CAST 10B02-440C
    11. Hernjak, N. ; Doyle III, F. J. ; Allgöwer, F. ; Schweickhardt, T.: Relationship between control-relevant nonlinearity and performance objective. In: IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM). Hong Kong, China, 2003, S. 543–548
    12. Menold, P. H. ; Allgöwer, F.: Finite time convergent observer. In: AIChE Annual Meeting. San Francisco, CA, USA, 2003
    13. Findeisen, R. ; Imsland, L. ; Allgöwer, F. ; Foss, B.A.: Output-feedback Nonlinear Model Predictive Control using High-Gain Observers in Original Coordinates. In: Proc.\ European Control Conf.\ (ECC). Cambridge, UK, 2003, S. 2061–2066
    14. Diehl, M. ; Findeisen, R. ; Allgöwer, F. ; Schlöder, J.P. ; Bock, H.G.: Stability of Nonlinear Model Predictive Control in the Presence of Errors due to Numerical Online Optimization. In: Proc.\ 42nd IEEE Conf.\ Decision and Control (CDC). Maui, HI, USA, 2003, S. 1419–1424
    15. Schweickhardt, T. ; Allgöwer, F. ; Doyle III, F. J.: Nonlinearity quantification for the optimal state feedback controller. In: Proc.\ European Control Conf.\ (ECC). Cambridge, U.K., 2003, S. 4611–4617
    16. Menold, P. H. ; Findeisen, R. ; Allgöwer, F.: Finite time convergent observers for linear time-varying systems. In: Proc.\ 11th Mediterranean Conf.\ Control and Automation (MED). Rhodes, Greece, 2003. — on CD, paper t7-078
    17. Schitter, G. ; Stemmer, A. ; Allgöwer, F.: Robust 2DOF-control of a piezoelectric tube scanner for high speed atomic force microscopy. In: Proc.\ American Control Conf.\ (ACC). Denver, CO, USA, 2003, S. 3720–3725
    18. Schweickhardt, T. ; Allgöwer, F.: How Nonlinear is Nonlinear? An Approach to Nonlinearity Quantification. In: van de Wal, M. (Hrsg.) ; van de Wal, M. (Hrsg.): Proceedings of the 7th Philips Conference on Applications of Control Technology (PACT′03), 2003, S. 1–14
    19. Menold, P. H. ; Findeisen, R. ; Allgöwer, F.: Finite time convergent observers for nonlinear systems. In: Proc.\ 42nd IEEE Conf.\ Decision and Control (CDC). Maui, HI, USA, 2003, S. 5673–5678
    20. Imsland, L. ; Findeisen, R. ; Allgöwer, F. ; Foss, B.A.: Output Feedback Stabilization with Nonlinear Predictive Control - Asymptotic properties. In: Proc.\ American Control Conf.\ (ACC). Denver, CO, USA, 2003, S. 4908–4913
    21. Rieber, J. M. ; Allgöwer, F.: An approach to gain-scheduled $\ell_1$-optimal control of linear parameter-varying systems. In: Proc.\ 42nd IEEE Conf.\ Decision and Control (CDC). Maui, HI, USA, 2003, S. 6109–6114
    22. Findeisen, R. ; Imsland, L. ; Allgöwer, F. ; Foss, B.A.: Stability Conditions for Observer Based Output Feedback Stabilization with Nonlinear Model Predictive Control. In: Proc.\ 42nd IEEE Conf.\ Decision and Control (CDC). Maui, HI, USA, 2003, S. 1425–1430
    23. Rehm, A. ; Allgöwer, F.: $H_ınfty$ control of descriptor systems: An application from binary distillation control. In: Proc.\ European Control Conf.\ (ECC). Cambridge, UK, 2003. — paper ID BA-9
    24. Schumm, P. ; Schweickhardt, T. ; Bullinger, E. ; Allgöwer, F.: Der Einsatz neuer Medien in der regelungstechnischen Ausbildung. In: Proc.\ GMA-Kongress. Baden-Baden, Germany, 2003, S. 1061–1068
    25. Findeisen, R. ; Allgöwer, F.: Theorie und Anwendung der nichtlinearen prädiktiven Regelung. In: Proc. of GMA-Gesellschaft für Meß- und Automatisierungstechnik annual meeting. Baden-Baden, Germany, 2003
    26. Allgöwer, F. ; Findeisen, R. ; Ebenbauer, C.: Nonlinear Model Predictive Control (2003)
    27. Eißing, T.: Modeling Signal Transduction Pathways at the Example of Tumor Necrosis Factor signaling, 2003. — Talk at the 1st International Symposium of the IST, Hirschegg, Austria
    28. Findeisen, R. ; Allgöwer, F.: Nonlinear Model Predictive Control, 2003. — Gesellschaft für Angewandte Mathematik und Mechanik Annual Meeting, GAMM, University of Padua, Italy

  19. 2002

    1. Diehl, M. ; Findeisen, R. ; Nagy, Z. ; Bock, H.G. ; Schlöder, J.P. ; Allgöwer, F.: Real-time optimization and Nonlinear Model Predictive Control of Processes governed by Differential-Algebraic Equations. In: J.\ Proc.\ Contr. Bd. 4 (2002), S. 577–585
    2. Diehl, M. ; Findeisen, R. ; Schwarzkopf, S. ; Uslu, I. ; Allgöwer, F. ; Bock, H. G. ; Schlöder, J.P.: An Efficient Approach for Nonlinear Model Predictive Control of Large-Scale Systems Part I: Description of the Methodology. In: at-Automatisierungstechnik Bd. 50 (2002), S. 557–567
    3. Rehm, A. ; Allgöwer, F.: General quadratic performance analysis and synthesis of differential algebraic equation (DAE) systems. In: J.\ Proc.\ Contr. Bd. 12 (2002), S. 467–474
    4. Scherer, C.W. ; Chen, H. ; Allgöwer, F.: Disturbance Attenuation with Actuator Constraints by Hybrid State Feedback Control. In: Proc.\ 41st IEEE Conf.\ Decision and Control (CDC). Las Vegas, NV, USA, 2002, S. 4134–4139
    5. Nagy, Z. ; Agachi, S. P. ; Allgöwer, F. ; Findeisen, R. ; Diehl, M. ; Bock, H.G. ; Schlöder, J.P.: The tradeoff between modelling complexity and real-time feasibility in nonlinear model predictive control. In: Proc.\ 6th World Multiconference on Systemics, Cybernetics and Informatics (SCI). Orlando, FL, USA, 2002, S. 329–334
    6. Allgöwer, F ; Nagy, Z. ; Findeisen, R.: Nonlinear Model Predictive Control: From Theory to Application. In: Proc.\ Int.\ Symp.\ Design, Operation and Control of Chemical Plants (PSE). Taipei, Taiwan, 2002, S. 639–650
    7. Rehm, A. ; Allgöwer, F.: An LMI Approach towards $H_ınfty$ Control of Discrete-time Descriptor Systems. In: Proc.\ American Control Conf.\ (ACC). Minneapolis, MN, USA, 2002, S. 614–619
    8. Burger, C. ; Bullinger, E. ; Papakosta, S. ; Wagner, T.: Context awareness for application sharing in teaching environment. In: Proc.\ Int.\ Conf.\ Advances in Infrastructure for e-Business, e-Education, e-Science, and e-Medicine on the Internet (SSGRR), 2002
    9. Magni, L. ; de Nicolao, G. ; Scattolini, R. ; Allgöwer, F.: Robust receding horizon control for nonlinear discrete-time systems. In: Proc.\ 15th IFAC World Congress. Barcelona, Spain, 2002. — available online http://dx.doi.org/10.3182/20020721-6-ES-1901.01053
    10. Burger, C. ; Papakosta, S. ; Bullinger, E. ; Wagner, T.: Investigation of application sharing systems for teaching purposes in engineering disciplines. In: Proc.\ 4th Int.\ Conf.\ New Educational Environment, 2002
    11. Bullinger, E. ; Sauter, T. ; Allgöwer, F. ; Gilles, E.D.: On deriving a hybrid model for Carbohydrate Uptake in Escherichia col. In: Proc.\ 15th IFAC World Congress. Barcelona, Spain, 2002. — available online http://dx.doi.org/10.3182/20020721-6-ES-1901.01312
    12. Rehm, A. ; Allgöwer, F.: An LMI Approach towards Stabilization of Discrete-time Descriptor Systems. In: Proc.\ 15th IFAC World Congress. Barcelona, Spain, 2002. — available online http://dx.doi.org/10.3182/20020721-6-ES-1901.00174
    13. Knobloch, H.W. ; Ebenbauer, C. ; Allgöwer, F.: A framework for disturbance attenuation with discontinuous control. In: Proc.\ 15th IFAC World Congres. Barcelona, Spain, 2002. — available online http://dx.doi.org/10.3182/20020721-6-ES-1901.00231
    14. Findeisen, R. ; Diehl, M. ; Bürner, T. ; Allgöwer, F. ; Bock, H.G. ; Schlöder, J.P.: Efficient Output Feedback Nonlinear Model Predictive Control. In: Proc.\ American Control Conf.\ (ACC). Anchorage, AK, USA, 2002, S. 4752–4757
    15. Findeisen, R. ; Diehl, M. ; Uslu, I. ; Schwarzkopf, S. ; Allgöwer, F. ; Bock, H.G. ; Schlöder, J.P. ; Gilles, E.D.: Computation and Performance Assesment of Nonlinear Model Predictive Control. In: Proc.\ 41st IEEE Conf.\ Decision and Control (CDC). Las Vegas, NV, USA, 2002, S. 4613–4618
    16. Schoeberl, B. ; Eißing, T. ; Fotin, M. ; Gilles, E. D. ; Scheurich, P.: A mathematical model of TNF receptor interaction. In: 1st International Symposium of the SFB 495. Stuttgart, Germany, 2002
    17. Findeisen, R. ; Imsland, L. ; Allgöwer, F. ; Foss, B.A.: Output feedback nonlinear predictive control - A separation principle approach. In: Proc.\ 15th IFAC World Congress. Barcelona, Spain, 2002. — available online http://dx.doi.org/10.3182/20020721-6-ES-1901.00602
    18. Imsland, L. ; Findeisen, R. ; Allgöwer, F. ; Foss, B.A.: Output Feedback Nonlinear Model Predictive Control (2002)
    19. Allgöwer, F. ; Rossitter, J.A. ; Cannon, M. ; Kouvaritakis, B. ; Bock, H.G. ; Diehl, M. ; Findeisen, R. ; Schlöder, J.P.: Tutorial workshop on computational efficiency in linear and non-linear predictive control (2002)
    20. Findeisen, R. ; Imsland, L. ; Allgöwer, F. ; Foss, B.A.: Output Feedback Nonlinear Predictive Control (2002)
    21. Findeisen, R. ; Imsland, L. ; Allgöwer, F. ; Foss, B.A.: Semi-regional stability results for output-feedback nonlinear predictive control, 2002. — In Proceedings of Gesellschaft für Angewandte Mathematik und Mechanik Annual Meeting, GAMM

  20. 2001

    1. Schitter, G. ; Menold, P.H. ; Knapp, H.F. ; Allgöwer, F. ; Stemmer, A.: High performance feedback for fast scanning atomic force microscopes. In: Review of Scientific Instruments Bd. 72 (2001), S. 3320–3327
    2. Diehl, M. ; Uslu, I. ; Findeisen, R. ; Schwarzkopf, S. ; Allgöwer, F. ; Bock, H.G. ; Bürner, T. ; Gilles, E.D. ; u. a.: Real-Time Optimization of Large Scale Process Models: Nonlinear Model Predictive Control of a High Purity Distillation Column. In: Grötschel, M. ; Krumke, S. O. ; Rambau, J. (Hrsg.) ; Grötschel, M. ; Krumke, S. O. ; Rambau, J. (Hrsg.): Online Optimization of Large Scale Systems: State of the Art : Springer Berlin / Heidelberg, 2001, S. 363–384
    3. Pearson, R.K. ; Menold, P.H. ; Allgöwer, F.: Structured Outliers and Data Cleaning Filters. In: Proceedings of the IEEE-EURASIP Nonlinear Signal and Image Processing workshop, NSIP-01. Baltimore, MD, USA, 2001
    4. Kremling, A. ; Sauter, T. ; Bullinger, E. ; Ederer, M. ; Allgöwer, F. ; Gilles, E.D.: Biosystems Engineering: Applying methods from systems theory to biological systems. In: Proc.\ 2nd Int.\ Conf.\ Systems Biology. Pasadena, CA, USA, 2001, S. 282–290
    5. Niethammer, M. ; Menold, P.H. ; Allgöwer, F.: Parameter and Derivative Estimation for Nonlinear Continuous-Time System Identification. In: Proc.\ 5th IFAC Symp.\ Nonlinear Control Systems (NOLCOS). St. Petersburg, Russia, 2001, S. 691–696
    6. Nagy, Z. ; Agachi, S. P. ; Allgöwer, F. ; Findeisen, R.: Nonlinear model predictive control of a high purity distillation column. In: 14-th International Congress of Chemical and Process Engineering CHISA 2000. Prague, Czech Republic, 2001. — Paper ID P3.12 on CD-ROM
    7. Bullinger, E. ; Findeisen, R. ; Allgöwer, F.: Adaptive $łambda$-Tracking of Nonlinear Systems with Higher Relative Degree Using Reduced-Order High Gain Control. In: Proc.\ 5th IFAC Symp.\ Nonlinear Control Systems (NOLCOS). St. Petersburg, Russia, 2001, S. 92–97
    8. Chen, H. ; Allgöwer, F.: Nonlinear model predictive control of a class of mechatronic systems. In: Proc.\ 4th China-Korea Joint Workshop on Process Systems Engineering. Guangzhou, China, 2001, S. 65–72
    9. Findeisen, R. ; Nagy, Z. ; Diehl, M. ; Allgöwer, F. ; Bock, H.G. ; Schlöder, J.P.: Computational feasibility and performance of nonlinear model predicitve control. In: Proc.\ European Control Conf.\ (ECC). Porto, Portugal, 2001, S. 957–961
    10. Imsland, L. ; Findeisen, R. ; Bullinger, E. ; Allgöwer, F. ; Foss, B.A.: On Output feedback Nonlinear Model Predictive Control using high gain observers for a class of systems. In: Proc.\ 6th IFAC Symp.\ Dynamics and Control of Process Systems (DYCOPS). Jejudo, Korea, 2001, S. 91–96
    11. Nagy, Z. ; Agachi, S. P. ; Allgöwer, F. ; Findeisen, R. ; Diehl, M. ; Bock, H.G. ; Schlöder, J.P.: Using Genetic Algorithm in Robust Nonlinear Model Predictive Control. In: Proc.\ 11th European Symp.\ Computer Aided Process Engineering (ESCAPE). Kolding, Denmark, 2001, S. 711–716
    12. Findeisen, R. ; Allgöwer, F.: An introduction to nonlinear model predictive control (2001)
    13. Allgöwer, F. ; Findeisen, R.: Nonlinear Model Predictive Control of Chemical Processes (2001)

  21. 2000

    1. Frei, C.W. ; Bullinger, E. ; Gentilini, A. ; Glattfelder, A. H. ; Sieber, T. ; Zbinden, A. M.: Artifact-tolerant controllers for automatic drug delivery in anesthesia. In: Crit.\ Rev.\ Biomed.\ Eng. Bd. 28 (2000), S. 187–192
    2. Rehm, A. ; Allgöwer, F.: Self-Scheduled $H_ınfty$ Output Feedback Control of Descriptor Systems. In: Comp.\ & Chem.\ Eng. Bd. 24 (2000), S. 279–284
    3. Findeisen, R. ; Allgöwer, F.: A Nonlinear Model Predictive Control Scheme for the Stabilization of Setpoint Families. In: Journal A, Benelux Quarterly Journal on Automatic Control Bd. 41 (2000), S. 37–45
    4. Findeisen, R. ; Allgöwer, F.: Nonlinear model predictive control for index--one DAE systems. In: Allgöwer, F. ; Zheng, A. (Hrsg.) ; Allgöwer, F. ; Zheng, A. (Hrsg.): Nonlinear Model Predictive Control, Progress in Systems and Control Theory. Bd. 26. Basel : Birkhäuser, 2000, S. 145–162
    5. Bullinger, E. ; Allgöwer, F.: Adaptive $łambda$-tracking for Nonlinear Systems with Higher Relative Degree. In: Proc.\ 39th IEEE Conf.\ Decision and Control (CDC). Sydney, Australia, 2000, S. 4771–4776
    6. Findeisen, R. ; Chen, H. ; Allgöwer, F.: Nonlinear Predictive Control for Setpoint Families. In: Proc.\ American Control Conf.\ (ACC). Chicago, IL, USA, 2000, S. 260–264
    7. Pearson, R.K. ; Menold, P.H. ; Kraus, F.J.: Set-theoretic input sequence design for orthonormal model identification. In: Proceedings of the IFAC Symposium on System Identification, SYSID 2000. Santa Barbara, California, USA, 2000
    8. Allgöwer, F. ; Findeisen, R. ; Nagy, Z. ; Diehl, M. ; Bock, H.G. ; Schlöder, J.P.: Efficient Nonlinear Model Predictive Control for Large Scale Constrained Processes. In: Proc.\ 6th Int.\ Conf.\ Methods and Models in Automation and Robotics : Miedzyzdroje, Poland, 2000, S. 43–54
    9. Findeisen, R. ; Allgöwer, F. ; Diehl, M. ; Bock, H.G. ; Schlöder, J.P. ; Nagy, Z.: Efficient Nonlinear Model Predictive Control. In: Proc.\ 6th Int.\ Conf.\ Chemical Process Control (CPC). Tuscon, AZ, USA, 2000, S. 454–460
    10. Bullinger, E. ; Frei, C. W. ; Sieber, T. J. ; Glattfelder, A. H. ; Allgöwer, F. ; Zbinden, A. M.: Adaptive $łambda$-tracking in Anesthesia. In: Carson, E. ; Salzsieder, E. (Hrsg.) ; Carson, E. ; Salzsieder, E. (Hrsg.): Proc.\ 4th IFAC Symp.\ Modelling and Control in Biomedical Systems. Oxford, UK : Pergamon, 2000, S. 181–186
    11. Bullinger, E. ; Findeisen, R. ; Kraus, F. J. ; Allgöwer, F.: Some further Results on Adaptive $łambda$-tracking for Linear Systems with High Relative Degree. In: Proc.\ American Control Conf.\ (ACC). Chicago, IL, USA, 2000, S. 3655–3659
    12. Nagy, Z. ; Findeisen, R. ; Diehl, M. ; Allgöwer, F. ; Bock, H. G. ; Agachi, S. P. ; Schlöder, J. P. ; Leineweber, D.: Real-time Feasibility of Nonlinear Predictive Control for Large Scale Processes -- a Case Study. In: Proc.\ American Control Conf.\ (ACC). Chicago, IL, USA, 2000, S. 4249–4254
    13. Schitter, G. ; Menold, P.H. ; Knapp, H. ; Stemmer, A. ; Allgöwer, F.: Simulation and open loop identification of tapping mode atomic force microscopy (2000)
    14. Menold, P.H.: Set-theoretic input sequence design for orthonormal model identification (2000)
    15. Menold, P.H.: Ein Struktureignungsmaß zur Modellstrukturauswahl (2000)
    16. Bullinger, E.: Adaptive $łambda$-tracking for Systems with Higher Relative Degree, Swiss Federal Institute of Technology (ETH), 2000

  22. 1999

    1. Chen, H. ; Allgöwer, F.: A quasi-infinite horizon predictive control scheme for constrained nonlinear systems. In: IEE Control Theory Appl. Bd. 16 (1999), S. 313–319
    2. Allgöwer, F. ; Badgwell, T.A. ; Rawlings, J.B. ; Wright, S.J: Nonlinear model predictive control. In: Perspectives in Control. Plenary Lectures and Mini-Courses at the 5th European Control Conference ECC′99 : Springer-Verlag, London, 1999, S. 391–449
    3. Frei, C.W. ; Bullinger, E. ; Sieber, T. ; Glattfelder, A.H. ; Zbinden, A.M.: Artefakttolerante Regelungen für die Anästhesie. In: Fortschritts-Berichte VDI, Reihe 17, Nr. 183, AUTOMED ’99, Beiträge zum Workshop Äutomatisierungstechnische Verfahren für die Medizin“, 25./26. Februar, Darmstadt, 1999, S. 37–38
    4. Bullinger, E. ; Allgöwer, F.: Adaptive $łambda$-tracking for Linear Systems with Higher Relative Degree --- The Continuous Adaptation Case. In: Proc.\ European Control Conf.\ (ECC). Karlsruhe, Germany, 1999. — paper ID 511, on CD, paper F311
    5. Menold, P.H. ; Pearson, R.K. ; Allgöwer, F.: Online outlier detection and removal. In: Proc.\ 7th Mediterranean Conf.\ Control and Automation (MED). Haifa, Israel, 1999, S. 1110–1133
    6. Bullinger, E. ; Ilchmann, A. ; Allgöwer, F.: Piecewise Constant High-Gain Adaptive $łambda$-tracking for Higher Relative Degree Linear Systems. In: Proc.\ of the 14th IFAC World Congress, Beijing, China. Bd. D. Beijing, China, 1999, S. 249–254
    7. Schitter, G. ; Menold, P.H. ; Knapp, H. ; Stemmer, A. ; Allgöwer, F.: Intelligent Control for the next generation of fast scanning atomic force microscopes (1999)
    8. Menold, P.H.: Dealing with Anomalous Data Points (1999)
    9. Menold, P.H.: Online outlier detection and removal (1999)

  23. 1998

    1. Chen, H. ; Allgöwer, F.: A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability. In: Automatica Bd. 34 (1998), S. 1205–1217
    2. Chen, H. ; Allgöwer, F.: A computationally attractive nonlinear predictive control scheme with guaranteed stability for stable systems. In: J.\ Proc.\ Contr. Bd. 8 (1998), S. 475–485
    3. Chen, H. ; Allgöwer, F.: Nonlinear model predictive control schemes with guaranteed stability. In: Berber, R. ; Kravaris, C. (Hrsg.) ; Berber, R. ; Kravaris, C. (Hrsg.): Nonlinear Model Based Process Control. Dordrecht, The Netherlands : Kluwer Academic Publishers, 1998, S. 465–494
    4. Bullinger, E. ; Ilchmann, A. ; Allgöwer, F.: A Simple Adaptive Observer for Nonlinear Systems. In: Huijberts, H. J. C. ; Nijmeijer, H. ; van der Schaft, A. J. ; Scherpen, J. M. A. (Hrsg.) ; Huijberts, H. J. C. ; Nijmeijer, H. ; van der Schaft, A. J. ; Scherpen, J. M. A. (Hrsg.): Nonlinear control systems design 1998 : a proceedings volume from the 4th IFAC Symposium, Enschede, The Netherlands. Bd. 2. Oxford, UK : Pergamon, 1998, S. 781–786
    5. Pearson, R.K. ; Menold, P.H. ; Allgöwer, F.: Practically-motivated input sequences for nonlinear model identification. In: Proc.\ American Control Conf.\ (ACC). Philadelphia, PA, USA, 1998, S. 1235–1239
    6. Chen, H. ; Scherer, C.W. ; Allgöwer, F.: A robust model predictive control scheme for constrained linear systems. In: Proc.\ 5th IFAC Symp.\ Dynamics and Control of Process Systems (DYCOPS). Corfu, Greece, 1998, S. 60–65

  24. 1997

    1. Menold, P.H. ; Pearson, R.K. ; Allgöwer, F.: Nonlinear structure identification of chemical processes. In: Comp.\ & Chem.\ Eng. Bd. 21 (1997), S. 137–142
    2. Menold, P.H. ; Allgöwer, F. ; Pearson, R.K.: On simple representation of distillation dynamics. In: Proc.\ 1st European Congress on Chemical Engineering (ECCE). Florence, Italy, 1997, S. 1363–1366
    3. Bullinger, E. ; Allgöwer, F.: An Adaptive High-Gain Observer for Nonlinear Systems. In: Proc.\ 36th IEEE Conf.\ Decision and Control (CDC). San Diego, CA, USA, 1997, S. 4348–4353
    4. Chen, H. ; Scherer, C.W. ; Allgöwer, F.: A game theoretic approach to nonlinear robust receding horizon control of constrained systems. In: Proc.\ American Control Conf.\ (ACC). Albuquerque, NM, USA, 1997, S. 3073–3077
    5. Chen, H. ; Allgöwer, F.: A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability. In: Proc.\ European Control Conf.\ (ECC), 1997. — paper ID TH-A B1, on CD
    6. Chen, H. ; Allgöwer, F.: Quasi-infinite horizon nonlinear predictive control. In: Workshop on Control of Nonlinear and Uncertain Systems (COSY). London, UK, 1997, S. 52–57
    7. Chen, H. ; Allgöwer, F.: A quasi-infinite horizon nonlinear predictive control scheme for stable systems: Application to a CSTR. In: Proc.\ IFAC Int.\ Symp.\ Advanced Control of Chemical Processes (ADCHEM). Banff, Canada, 1997, S. 471–476
    8. Pearson, R.K. ; Allgöwer, F. ; Menold, P.H.: Stochastic suitability measures for nonlinear structure identification. In: Proc.\ European Control Conf.\ (ECC). Bruessels, Belgium, 1997. — paper ID FR-A F4, on CD
    9. Menold, P.H.: Struktureignungsmasse zur nichtlinearen Systemidentifikation (1997)
    10. Menold, P.H. ; Allgöwer, F.: Struktureignungsmaße zur nichtlinearen Systemidentifikation (1997)
    11. Menold, P.H.: Nonlinear structure identification of chemical processes (1997)
    12. Bullinger, E. ; Allgöwer, F.: Ein adaptiver high-gain Beobachter für nichtlineare Systeme (1997)

  25. 1996

    1. Bacher, R. ; Bullinger, E.: Application of non-stationary iterative methods to an exact Newton-Raphson solution process for power flow equations. In: 12th Power Systems Computation Conference, Dresden, Germany, 1996, S. 453–459
    2. Chen, H. ; Allgöwer, F.: A quasi-infinite horizon predictive control scheme for constrained nonlinear systems. In: Proc.\ 16th Chinese Control Conf. Qindao, China, 1996, S. 309–316

  26. 1995

    1. Chen, H. ; Kremling, A. ; Allgöwer, F.: Nonlinear predictive control of a benchmark CSTR. In: Proc.\ European Control Conf.\ (ECC). Rome, Italy, 1995, S. 3247–3252
    2. Chen, H. ; Allgöwer, F.: Maximal yield control of a nonlinear chemical reactor. In: Proc.\ 1st IFAC Youth Automation Conf.\ (YAC). Beijing, China, 1995, S. 764–769
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