Kooperationen

SimTech4c

csblogo

SR3C-Logo

 

Veröffentlichungen

Eine vollständige Liste der Publikationen des IST finden Sie hier.

Aktuelle Veröffentlichungen

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. M. A. Müller, “Nonlinear moving horizon estimation for systems with bounded disturbances,” in Proc. American Control Conf. (ACC), 2016, pp. 883–888.
  13. J. M. Montenbruck and S. Zeng, “Collinear Dynamical Systems,” in Proc. American Control Conf. (ACC), Seattle, WA, USA, 2017, pp. 3920–3925.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. J. M. Montenbruck and F. Allgöwer, “Input-Output Control of Composite Systems,” in Proc. 55th IEEE Conf. Decision and Control (CDC), 2016.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. W. Halter, Z. A. Tuza, and F. Allgöwer, “Signal differentiation with genetic networks,” in Proc. 20th IFAC World Congress, Toulouse, France, 2017.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. 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.
  39. 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.
  40. 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.
  41. 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.
  42. S. Zeng and F. Allgöwer, “Structured optimal feedback in multi-agent systems: A static output feedback perspective,” Automatica, vol. 76, pp. 214 – 221, 2017.
  43. S. Zeng and F. Allgøwer, “A moment-based approach to ensemble controllability of linear systems,” Syst. Contr. Lett., vol. 98, pp. 49 – 56, 2016.
  44. 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.
  45. 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.
  46. 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.
  47. C. Thomaseth, K. Kuritz, F. Allgoewer, and R. N., “The circuit-breaking algorithm for monotone systems,” Mathematical Biosciences, vol. 284, pp. 80–91, 2017.
  48. 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.
  49. N. Radde and M.-T. Hütt, “The Physics behind Systems Biology,” Eur. Phys. J. Nonlin. Biomed. Phys., vol. 4, no. 1, 2016.
  50. 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.
  51. M. A. Müller and K. Worthmann, “Quadratic costs do not always work in \MPC\,” Automatica, vol. 82, pp. 269 – 277, 2017.
  52. M. A. Müller, “Nonlinear moving horizon estimation in the presence of bounded disturbances,” Automatica, vol. 79, pp. 306 – 314, 2017.
  53. M. A. Müller and L. Grüne, “Economic model predictive control without terminal constraints for optimal periodic behavior,” Automatica, vol. 70, pp. 128–139, 2016.
  54. L. Grüne and M. A. Müller, “On the relation between strict dissipativity and turnpike properties,” System & Control Letters, vol. 90, pp. 45–53, 2016.
  55. J. M. Montenbruck and S. Zeng, “Collinear Dynamical Systems,” Syst. Contr. Lett., vol. 105, pp. 34–43, 2017.
  56. 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.
  57. J. M. Montenbruck, M. Arcak, and F. Allgöwer, “An Input-Output Framework for Submanifold Stabilization,” IEEE Trans. Automat. Control, vol. 62, no. 10, 2017.
  58. J. M. Montenbruck and F. Allgöwer, “Asymptotic Stabilization of Submanifolds Embedded in Riemannian Manifolds,” Automatica, vol. 74, pp. 349–359, 2016.
  59. 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.
  60. M. Lorenzen, F. Dabbene, R. Tempo, and F. Allgöwer, “Stochastic MPC with Offline Uncertainty Sampling,” Automatica, vol. 81, pp. 176 – 183, 2017.
  61. 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.
  62. 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.
  63. 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.
  64. 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.
  65. 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.
  66. 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.
  67. 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.
  68. 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.
  69. 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.
  70. 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.
  71. 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.
  72. 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.
  73. 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.
  74. 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.
  75. 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.
  76. 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.
  77. 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.
  78. V. Avrutin, Z. T. Zhusubaliyev, A. El Aroudi, D. Fournier-Prunaret, G. Garcia, and E. Mosekilde, “Disrupted bandcount doubling in an AC-DC boost PFC circuit modeled by a time varying map,” J. of Physics, vol. 692, no. 1, p. 012003, 2016.