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Veröffentlichungen

Eine vollständige Liste der Publikationen des IST finden Sie hier.

Aktuelle Veröffentlichungen

  1. 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.
  2. 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.
  3. 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.
  4. C. Breindl, “Identification, analysis and control of discrete and continuous models of gene regulation networks,” PhD dissertation, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2016.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. G. S. Seyboth, “On Distributed and Cooperative Control Design for Networks of Dynamical Systems,” PhD dissertation, Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany, 2016.
  19. 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.
  20. M. A. Müller, “Nonlinear moving horizon estimation for systems with bounded disturbances,” in Proc. American Control Conf. (ACC), 2016, pp. 883–888.
  21. M. A. Müller and L. Grüne, “Economic model predictive control without terminal constraints for optimal periodic behavior,” Automatica, vol. 70, pp. 128–139, 2016.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. J. Wu, A. Elser, S. Zeng, and F. Allgöwer, “Consensus-based distributed Kalman-Bucy filter for continuous-time systems,” IFAC-PapersOnLine, vol. 49, no. 22, pp. 321–326, 2016.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. C. Thomaseth, K. Kuritz, F. Allgoewer, and R. N., “The circuit-breaking algorithm for monotone systems,” Mathematical Biosciences, vol. 284, pp. 80–91, 2017.
  34. 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.
  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. J. M. Montenbruck, S. Zeng, and F. Allgöwer, “On the Observability Properties of Systems with Rolling Shutter,” in 54th Annual Allerton Conference on Communication, Control, and Computing, Illinois, USA, 2016.
  37. 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.
  38. 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.
  39. 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.
  40. 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.
  41. J. M. Montenbruck and F. Allgöwer, “Asymptotic Stabilization of Submanifolds Embedded in Riemannian Manifolds,” in Automatica, 2016, vol. 74, pp. 349–359.
  42. L. Grüne and M. A. Müller, “On the relation between strict dissipativity and turnpike properties,” System & Control Letters, vol. 90, pp. 45–53, 2016.
  43. J. M. Montenbruck and F. Allgöwer, “Input-Output Control of Composite Systems,” in Proc. 55th IEEE Conf. Decision and Control (CDC), 2016.
  44. 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.
  45. 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.
  46. 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.
  47. 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.
  48. 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.
  49. 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.
  50. 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.
  51. 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.
  52. N. Radde and M.-T. Hütt, “The Physics behind Systems Biology,” Eur. Phys. J. Nonlin. Biomed. Phys., vol. 4, no. 1, 2016.
  53. 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.
  54. 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.
  55. 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.
  56. 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.
  57. 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.