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Veröffentlichungen

Eine vollständige Liste der Publikationen des IST finden Sie hier.

Aktuelle Veröffentlichungen

  1. A. P. Aguiar, F. A. Bayer, J. Hauser, A. J. Häusler, G. Notarstefano, A. M. Pascoal, A. Rucco, and A. Saccon, “Constrained Optimal Motion Planning for Autonomous Vehicles Using PRONTO,” in Sensing and Control for Autonomous Vehicles: Applications to Land, Water and Air Vehicles, T. I. Fossen, K. Y. Pettersen, and H. Nijmeijer, Eds. Springer International Publishing, 2017, pp. 207–226.
  2. V. Avrutin, Z. T. Zhusubaliyev, and E. Mosekilde, “Cascades of alternating pitchfork and flip bifurcations in H-bridge inverters,” Physica~D, vol. 345, pp. 27–39, 2017.
  3. V. Avrutin, \zh.T. Zhusubaliyev, and E. Mosekilde, “Low-dimensional piecewise smooth maps with an unpredictable number of switching manifolds,” in Proc. 9th European Nonlinear Dynamics Conference (ENOC), Budapest, Hungary, 2017.
  4. V. Avrutin, Z. T. Zhusubaliyev, A. Saha, S. Banerjee, L. Gardini, and I. Sushko, “Dangerous Bifurcations Revisited,” Int. J. Bifurcat. Chaos, vol. 26, no. 14, p. 1630040, 2017.
  5. V. Avrutin, J. D. Morcillo, Z. T. Zhusubaliyev, and F. Angulo, “Bubbling in a power electronic inverter: Onset, development and detection,” Chaos, Solitons & Fractals, vol. 104, pp. 135–152, 2017.
  6. V. Avrutin, Z. T. Zhusubaliyev, and E. Mosekilde, “Border collisions inside the stability domain of a fixed point,” Physica~D, vol. 321–322, pp. 1–15, 2016.
  7. E. Aydiner, M. A. Müller, and F. Allgöwer, “Periodic Reference Tracking for Nonlinear Systems via Model Predictive Control,” in Proc. European Control Conf. (ECC), Aalborg, Denmark, 2016, pp. 2602–2607.
  8. F. A. Bayer, F. D. Brunner, M. Lazar, M. G. A. Wijnand, and F. Allgöwer, “A Tube-Based Approach to Nonlinear Explicit MPC,” in Proc. 55th IEEE Conf. Decision and Control (CDC), 2016, pp. 4059–4064.
  9. F. A. Bayer, M. Lorenzen, M. A. Müller, and F. Allgöwer, “Robust Economic Model Predictive Control using Stochastic Information,” Automatica, vol. 74, pp. 151–161, 2016.
  10. F. A. Bayer, M. A. Müller, and F. Allgöwer, “Min-max Economic Model Predictive Control Approaches with Guaranteed Performance,” in Proc. 55th IEEE Conf. Decision and Control (CDC), 2016, pp. 3210–3215.
  11. M. Belopolskaya, V. Avrutin, S. Firsov, and A. Yakovlev, “Potential Applications of Serum HBsAg Level Measurement in Patients with Hepatitis B and D Co-Infection,” Gastroenterology & Hepatology, vol. 5, no. 7, p. 00170, 2016.
  12. F. D. Brunner and F. Allgöwer, “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), Tokyo, Japan, 2016, vol. 49, no. 22, pp. 25–30.
  13. F. D. Brunner, W. P. . M. H. Heemels, and F. Allgöwer, “Numerical Evaluation of a Robust Self-Triggered MPC Algorithm,” in Proc. 6th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), Tokyo, Japan, 2016, vol. 49, no. 22, pp. 151–156.
  14. F. D. Brunner, M. Heemels, and F. Allgöwer, “Robust self-triggered MPC for constrained linear systems: A tube-based approach,” Automatica, vol. 72, pp. 73–83, 2016.
  15. F. D. Brunner, W. P. M. H. Heemels, and F. Allgöwer, “Dynamic Thresholds in Robust Event-Triggered Control for Discrete-Time Linear Systems,” in Proc. European Control Conf. (ECC), Aalborg, Denmark, 2016, pp. 983–988.
  16. F. D. Brunner, W. P. M. H. Heemels, and F. Allgöwer, “$\gamma$-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, pp. 1346–1351.
  17. F. D. Brunner, F. A. Bayer, and F. Allgöwer, “Robust Steady State Optimization for Polytopic Systems,” in Proc. 55th IEEE Conf. Decision and Control (CDC), Las Vegas, NV, USA, 2016, pp. 4084–4089.
  18. F. D. Brunner, M. A. Müller, and F. Allgöwer, “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, pp. 2733–2738.
  19. B. W. Carabelli, R. Blind, F. Dürr, and K. Rothermel, “State-dependent priority scheduling for networked control systems,” in Proc. American Control Conf. (ACC), 2017.
  20. C. Ebenbauer, S. Michalowsky, V. Grushkovskaya, and B. Gharesifard, “Distributed Optimization over Directed Graphs with the help of Lie Brackets,” in Proc. 20th IFAC World Congress, Toulouse, France, 2017, vol. 50, no. 1, pp. 15343–15348.
  21. C. Feller and C. Ebenbauer, “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, pp. 1484–1489.
  22. C. Feller and C. Ebenbauer, “A stabilizing iteration scheme for model predictive control based on relaxed barrier functions,” Automatica, vol. 80, pp. 328–339, 2017.
  23. C. Feller and C. Ebenbauer, “Relaxed Logarithmic Barrier Function Based Model Predictive Control of Linear Systems,” IEEE Trans. Automat. Control, vol. 62, no. 3, pp. 1223–1238, 2017.
  24. C. Feller, M. Ouerghi, and C. Ebenbauer, “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, pp. 1477–1483.
  25. G. Goebel and F. Allgöwer, “New results on semi-explicit and almost explicit MPC algorithms,” at-Automatisierungstechnik, vol. 65, no. 4, pp. 245–259, 2017.
  26. G. Goebel and F. Allgöwer, “Semi-explicit MPC based on subspace clustering,” Automatica, vol. 83, pp. 309–316, 2017.
  27. V. Grushkovskaya, H.-B. Dülrr, C. Ebenbauer, and A. Zuyev, “Extremum Seeking for Time-Varying Functions using Lie Bracket Approximations,” in Proc. 20th IFAC World Congress, Toulouse, France, 2017, vol. 50, no. 1, pp. 5522–5528.
  28. L. Grüne and M. A. Müller, “On the relation between strict dissipativity and turnpike properties,” System & Control Letters, vol. 90, pp. 45–53, 2016.
  29. W. Halter, J. M. Montenbruck, and F. Allgöwer, “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, pp. 424–429.
  30. W. Halter, Z. A. Tuza, and F. Allgöwer, “Signal differentiation with genetic networks,” in Proc. 20th IFAC World Congress, Toulouse, France, 2017.
  31. W. Halter, J. M. Montenbruck, Z. A. Tuza, and F. Allgöwer, “A resource dependent protein synthesis model for evaluating synthetic circuits,” J. Theor. Biol., vol. 420, pp. 267–278, 2017.
  32. W. Halter, J. M. Montenbruck, and F. Allgöwer, “Systems with integral resource consumption,” in Proc. 56th IEEE Conf. Decision and Control (CDC), Melbourne, Australia, 2017.
  33. B. Houska and M. A. Müller, “Cost-to-travel functions: a new perspective on optimal and model predictive control,” Syst. Contr. Lett., vol. 106, pp. 79–86, 2017.
  34. A. Jensch, C. Thomaseth, and N. E. Radde, “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,” BMC Sys. Biol., vol. 11, no. 1, p. 11, Jan. 2017.
  35. J. Kim, H. Shim, and J. Wu, “Distributed optimal kalman-bucy filter with guaranteed stability,” in Proc. 55th IEEE Conf. Decision and Control (CDC), Las Vegas, NV, 2016.
  36. J. Kirch, C. Thomaseth, A. Jensch, and N. Radde, “The effect of model rescaling and normalization on sensitivity analysis on an example of a MAPK pathway model,” Eur. Phys. J. Nonlin. Biomed. Phys., vol. 4, no. 3, 2016.
  37. S. Knüfer, M. A. Müller, and F. Allgöwer, “Stabilizing Model Predictive Control without Terminal Constraints for Switched Nonlinear Systems,” in Proc. 10th IFAC Symp. Nonlinear Control Systems (NOLCOS), Monterey, CA, USA, 2016, pp. 65–70.
  38. K. Kuritz, D. Stöhr, N. Pollak, and F. Allgöwer, “On the relationship between cell cycle analysis with ergodic principles and age-structured cell population models,” J. Theor. Biol., vol. 414, pp. 91–102, 2017.
  39. P. N. Köhler, M. A. Müller, and F. Allgöwer, “A distributed economic MPC scheme for coordination of self-interested systems,” in Proc. American Control Conf. (ACC), Boston, MA, USA, 2016, pp. 889–894.
  40. P. N. Köhler and D. V. Dimarogonas, “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, pp. 767–772.
  41. P. N. Köhler, M. A. Müller, J. Pannek, and F. Allgöwer, “On Exploitation of Supply Chain Properties by Sequential Distributed MPC.,” in Proc. of the 20th IFAC World Congress, Toulouse, France, 2017, pp. 8219–8224.
  42. P. N. Köhler, M. A. Müller, and F. Allgöwer, “Distributed Model Predictive Control -- Coordination of interconnected systems.” 2017.
  43. S. Linsenmayer and F. Allgöwer, “Event-based sampling concepts for Networked Control Systems.” 2017.
  44. S. Linsenmayer, R. Blind, and F. Allgöwer, “Delay-dependent data rate bounds for containability of scalar systems,” in Proc. of the 20th IFAC World Congress, Toulouse, France, 2017, pp. 7875–7880.
  45. S. Linsenmayer and F. Allgöwer, “On the potential of event-based sampling for control with limited data rate.” 2017.
  46. S. Linsenmayer, D. V. Dimarogonas, and F. Allgöwer, “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, pp. 507–512.
  47. S. Linsenmayer and F. Allgöwer, “Stability analysis and control design for weakly hard real-time systems.” 2017.
  48. K. D. Listmann, P. Wenzelburger, and F. Allgöwer, “Industrie 4.0 - (R)evolution ohne Regelungstechnik?,” at-Automatisierungstechnik, vol. 64, no. 7, pp. 507–520, 2016.
  49. K. D. Listmann, P. Wenzelburger, and F. Allgöwer, “Industrie 4.0 - (R)evolution without Control Technologies?,” J. of The Society of Instrument and Control Engineers, vol. 55, no. 7, pp. 555–565, 2016.
  50. Y. Liu, S. Rajappa, J. M. Montenbruck, P. Stegagno, H. Bülthoff, F. Allgöwer, and A. Zell, “Robust nonlinear control approach to nontrivial maneuvers and obstacle avoidance for quadrotor UAV under disturbances,” Robotics and Autonomous Systems, vol. 98, pp. 317–332, 2017.
  51. M. Lorenzen, F. Allgöwer, and M. Cannon, “Adaptive Model Predictive Control with Robust Constraint Satisfaction,” in Proc. of the 20th IFAC World Congress, Toulouse, France, 2017, pp. 3368–3373.
  52. M. Lorenzen, F. Dabbene, R. Tempo, and F. Allgöwer, “Stochastic MPC with Offline Uncertainty Sampling,” Automatica, vol. 81, pp. 176 – 183, 2017.
  53. M. Lorenzen, M. A. Müller, and F. Allgöwer, “Stochastic Model Predictive Control without Terminal Constraints,” Int. J. Robust and Nonlinear Control, 2017.
  54. M. Lorenzen, M. A. Müller, and F. Allgöwer, “Stabilizing Stochastic MPC without Terminal Constraints,” in Proc. American Control Conf. (ACC), Seattle, Washington, 2017, pp. 5636–5641.
  55. M. Lorenzen, F. Dabbene, R. Tempo, and F. Allgöwer, “Constraint-Tightening and Stability in Stochastic Model Predictive Control,” IEEE Trans. Automat. Control, vol. 62, no. 7, pp. 3165–3177, 2017.
  56. S. Michalowsky and C. Ebenbauer, “Gradient approximation and extremum seeking via needle variations,” in Proc. American Control Conf. (ACC), Boston, MA, USA, 2016, pp. 6091–6096.
  57. S. Michalowsky and C. Ebenbauer, “Extremum control of linear systems based on output feedback,” in Proc.55th IEEE Conf. Decision and Control (CDC), Las Vegas, NV, USA, 2016, pp. 2963–2968.
  58. S. Michalowsky and C. Ebenbauer, “Distributed optimization and extremum seeking over directed graphs.” 2017.
  59. J. M. Montenbruck and F. Allgöwer, “Asymptotic Stabilization of Submanifolds Embedded in Riemannian Manifolds,” Automatica, vol. 74, pp. 349–359, 2016.
  60. J. M. Montenbruck and S. Zeng, “Collinear Dynamical Systems,” in Proc. American Control Conf. (ACC), Seattle, WA, USA, 2017, pp. 3920–3925.
  61. J. M. Montenbruck, M. Arcak, and F. Allgöwer, “An Input-Output Framework for Submanifold Stabilization,” IEEE Trans. Automat. Control, vol. 62, no. 10, 2017.
  62. J. M. Montenbruck, S. Zeng, and F. Allgöwer, “Linear Systems with Quadratic Outputs,” in Proc. American Control Conf. (ACC), Seattle, WA, USA, 2017, pp. 1030–1034.
  63. J. M. Montenbruck and F. Allgöwer, “Input-Output Control of Composite Systems,” in Proc. 55th IEEE Conf. Decision and Control (CDC), 2016.
  64. J. M. Montenbruck and F. Allgöwer, “Some Problems Arising in Controller Design from Big Data via Input-Output Methods,” in Proc. 55th IEEE Conf. Decision and Control (CDC), 2016.
  65. J. M. Montenbruck, D. Zelazo, and F. Allgöwer, “Fekete Points, Formation Control, and the Balancing Problem,” IEEE Trans. Automat. Control, vol. 62, no. 10, 2017.
  66. J. M. Montenbruck, S. Zeng, and F. Allgöwer, “On the Observability Properties of Systems with Rolling Shutter,” in Proc. 54th Annual Allerton Conf. on Communication, Control, and Computing, 2016.
  67. J. M. Montenbruck and F. Allgöwer, “Persistence of Excitation and the Feedback Theorem for Passive Systems,” in Proc. 10th IFAC Symp. Nonlinear Control Systems (NOLCOS), 2016.
  68. J. M. Montenbruck, M. Bürger, and F. Allgöwer, “Compensating Drift Vector Fields with Gradient Vector Fields for Asymptotic Submanifold Stabilization,” IEEE Trans. Automat. Control, vol. 61, no. 2, pp. 388–399, 2016.
  69. M. A. Müller and F. Allgöwer, “Economic and distributed model predictive control: recent developments in optimization-based control,” SICE Journal of Control, Measurement, and System Integration, vol. 10, no. 2, pp. 39–52, 2017.
  70. M. A. Müller and L. Grüne, “Economic model predictive control without terminal constraints for optimal periodic behavior,” Automatica, vol. 70, pp. 128–139, 2016.
  71. M. A. Müller, “Nonlinear moving horizon estimation for systems with bounded disturbances,” in Proc. American Control Conf. (ACC), 2016, pp. 883–888.
  72. M. A. Müller and K. Worthmann, “Quadratic costs do not always work in \MPC\,” Automatica, vol. 82, pp. 269 – 277, 2017.
  73. M. A. Müller, “Nonlinear moving horizon estimation in the presence of bounded disturbances,” Automatica, vol. 79, pp. 306 – 314, 2017.
  74. S. K. Niederländer, A. F., and C. J., “Exponentially Fast Distributed Coordination for Nonsmooth Convex Optimization,” in Proc. 55th IEEE Conf. Decision and Control (CDC), Las Vegas, NV, USA, 2016, pp. 1036–1041.
  75. I. Notarnicola, F. A. Bayer, G. Notarstefano, and F. Allgöwer, “Final-State Constrained Optimal Control via a Projection Operator Approach,” in Proc. European Control Conf. (ECC), 2016, pp. 148–153.
  76. A. Panchuk, I. Sushko, and V. Avrutin, “Bifurcation Structures in a Bimodal Piecewise Linear Map,” Front. Appl. Math. Stat., vol. 3, no. 7, pp. 1–21, 2017.
  77. A. Panchuk, I. Sushko1, and V. Avrutin, “Bifurcation Structures in a Bimodal Piecewise Linear Map,” Front. Appl. Math. Stat., vol. 3, no. 7, pp. 1–21, 2017.
  78. D. Paul, L. Dehkordi Fayegh Koohi, M. von Scheven, and M. Bischoff, “Biologically Design and Integrative Structures - Analysis, Simulation, Implementation in Architecture,” J. Knippers, K. Nickel, and T. Speck, Eds. Springer International Publishing AG, 2016.
  79. D. Paul and N. Radde, “Robustness and filtering properties of ubiquitous signaling network motifs,” in Proc. 6th Foundations of Systems Biology in Engineering (FOSBE), Magdeburg, Germany, 2016.
  80. N. Radde and M.-T. Hütt, “The Physics behind Systems Biology,” Eur. Phys. J. Nonlin. Biomed. Phys., vol. 4, no. 1, 2016.
  81. A. Romer, J. M. Montenbruck, and F. Allgöwer, “Determining dissipation inequalities from input-output samples,” in Proc. 20th IFAC World Congress, 2017, pp. 7789–7794.
  82. D. Schittler, T. Jouini, F. Allgöwer, and S. Waldherr, “Multistability equivalence between gene regulatory networks of different dimensionality with application to a differentiation network,” Int. J. Robust and Nonlinear Control, 2016.
  83. I. Sushko, L. Gardini, and V. Avrutin, “Nonsmooth One-dimensional Maps: Some Basic Concepts and Definitions,” J. Differ. Equations Appl., vol. 22, no. 12, pp. 1816–1870, 2016.
  84. C. Thomaseth, K. Kuritz, F. Allgoewer, and R. N., “The circuit-breaking algorithm for monotone systems,” Mathematical Biosciences, vol. 284, pp. 80–91, 2017.
  85. C. Thomaseth and N. Radde, “Normalization of Western blot data affects the statistics of estimators,” in Proc. 6th Foundations of Systems Biology in Engineering (FOSBE), 2016, vol. 26, pp. 56–62.
  86. Z. A. Tuza, B. Ács, G. Szederkényi, and F. Allgöwer, “Efficient Computation of All Distinct Realization Structures of Kinetic Systems,” in IFAC-PapersOnLine, 2016, vol. 49, no. 26, pp. 194–200.
  87. J. Wu and F. Allgöwer, “Verteilte Zustandsschätzung zur Ausgangsregulierung von verteilten Systemen mit gekoppelten Messgrößen,” at-Automatisierungstechnik, vol. 64, no. 8, pp. 645–657, 2016.
  88. J. Wu, A. Elser, S. Zeng, and F. Allgöwer, “Consensus-based distributed Kalman-Bucy filter for continuous-time systems,” in Proc. 6th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), 2016.
  89. J. Wu, V. Ugrinovskii, and F. Allgöwer, “Observer-based synchronization with relative measurements and unknown neighbour models,” in Proc. Australian Control Conf. (AuCC), Newcastle, Australia, 2016.
  90. S. Zeng and F. Allgöwer, “A General Sampled Observability Result and Its Applications,” in Proc. 55th IEEE Conf. Decision and Control (CDC), Las Vegas, NV, USA, 2016, pp. 3997–4002.
  91. S. Zeng, S. Waldherr, C. Ebenbauer, and F. Allgöwer, “Ensemble Observability of Linear Systems,” IEEE Trans. Automat. Control, vol. 61, no. 6, pp. 1452–1465, 2016.
  92. S. Zeng and F. Allgöwer, “On the Ensemble Observability of Dynamical Systems,” in Proc. 22nd Int. Symp. Mathematical Theory of Networks and Systems (MTNS), Minnesota, Minneapolis, USA, 2016, pp. 685–688.
  93. S. Zeng and F. Allgöwer, “On the Moment Dynamics of Discrete Measures,” in Proc. 55th IEEE Conf. Decision and Control (CDC), Las Vegas, NV, USA, 2016, pp. 4901–4906.
  94. S. Zeng, H. Ishii, and F. Allgöwer, “State estimation of interconnected ensembles with anonymized outputs,” in Proc. 6th IFAC Workshop on Distributed Estimation and Control in Networked Systems, Tokyo, Japan, 2016.
  95. S. Zeng and F. Allgøwer, “A moment-based approach to ensemble controllability of linear systems,” Syst. Contr. Lett., vol. 98, pp. 49 – 56, 2016.
  96. S. Zeng, J. M. Montenbruck, and F. Allgöwer, “Periodic Signal Compressors,” in Proc. 20th World Congress of the International Federation of Automatic Control, 2017, pp. 6649–6654.
  97. S. Zeng and F. Allgöwer, “Structured optimal feedback in multi-agent systems: A static output feedback perspective,” Automatica, vol. 76, pp. 214 – 221, 2017.
  98. A. Zuyev and V. Grushkovskaya, “Motion planning for control-affine systems satisfying low-order controllability conditions,” Int. J. Control, vol. 90, no. 11, pp. 2517–2537, 2017.
  99. A. Zuyev and V. Grushkovskaya, “Obstacle Avoidance Problem for Driftless Nonlinear Systems with Oscillating Controls,” in Proc. 20th IFAC World Congress, Toulouse, France, 2017, vol. 50, no. 1, pp. 10476–10481.
  100. B. Ács, G. Szederkényi, Z. Tuza, and Z. A. Tuza, “Computing all possible graph structures describing linearly conjugate realizations of kinetic systems,” Computer Physics Communications, vol. 204, pp. 11–20, 2016.