This image shows Matthias Köhler

Matthias Köhler

M.Sc.

Research Assistant
Institute for Systems Theory and Automatic Control

Contact

+49 711 685 61580

Pfaffenwaldring 9
70569 Stuttgart
Deutschland
Room: 3.240

Office Hours

Please approach me via email for an appointment.

Subject

I am interested in the field of model predictive control (DMPC).

In particular, I am looking into distributed MPC schemes for cooperative or cooperative competitive control of multi-agent systems. These schemes are designed for flexibility and scalability using methods from MPC theory, multi-agent theory and distributed optimisation, and in order to establish guarantees of desirable properties, e.g. achievement of cooperative objectives or economic performance.

  1. M. Köhler, M. A. Müller, and F. Allgöwer, “Distributed MPC for Self-Organized Cooperation of Multi-Agent Systems,” IEEE Transactions on Automatic Control, pp. 1–8, 2024, doi: 10.1109/TAC.2024.3407633.
  2. M. Köhler, M. A. Müller, and F. Allgöwer, “Distributed Economic MPC with Adaptive Terminal Weights,” IFAC-PapersOnLine, vol. 58, no. 18, Art. no. 18, 2024, doi: 10.1016/j.ifacol.2024.09.016.
  3. M. Köhler, L. Krügel, L. Grüne, M. A. Müller, and F. Allgöwer, “Transient Performance of MPC for Tracking,” IEEE Control Systems Letters, vol. 7, pp. 2545–2550, 2023, doi: 10.1109/LCSYS.2023.3287798.
  4. M. Köhler, M. A. Müller, and F. Allgöwer, “Distributed Model Predictive Control for Periodic Cooperation of Multi-Agent Systems,” IFAC-PapersOnLine, vol. 56, no. 2, Art. no. 2, 2023, doi: 10.1016/j.ifacol.2023.10.1450.
  5. M. Köhler, J. Berberich, M. A. Müller, and F. Allgöwer, “Data-driven distributed MPC of dynamically coupled linear systems,” in Proc. 25th Int. Symp. Math. Theory Netw. Syst. (MTNS), in Proc. 25th Int. Symp. Math. Theory Netw. Syst. (MTNS). Bayreuth, Germany, 2022, pp. 365–370. doi: 10.1016/j.ifacol.2022.11.080.
  6. S. Yu, M. Hirche, Y. Huang, H. Chen, and F. Allgöwer, “Model predictive control for autonomous ground vehicles: a review,” Auton. Intell. Syst., vol. 1, p. 4, 2021, doi: 10.1007/s43684-021-00005-z.
  7. S. Wildhagen, J. Berberich, M. Hirche, and F. Allgöwer, “Improved stability conditions for systems under aperiodic sampling: model- and data-based analysis,” in Proc. 60th IEEE Conf. on Decision and Control (CDC), in Proc. 60th IEEE Conf. on Decision and Control (CDC). Austin, TX, USA, 2021, pp. 5788–5794.
  8. M. Hirche, P. N. Köhler, M. A. Müller, and F. Allgöwer, “Distributed Model Predictive Control for Consensus of Constrained Heterogeneous Linear Systems,” in Proc. 59th IEEE Conf. on Decision and Control (CDC), in Proc. 59th IEEE Conf. on Decision and Control (CDC). Jeju Island, Republic of Korea, 2020, pp. 1248–1253. doi: 10.1109/CDC42340.2020.9303838.
 
Since 04/2019 Research and teaching assistant at the Institute for Systems Theory and Automatic Control, University of Stuttgart, Germany.
08/2018-02/2019 Visiting Student at the University of California, Berkeley, USA.
04/2018-08/2018 Internship at the Robert Bosch GmbH, CR/AEB, Renningen, Germany.
10/2016-03/2019

M.Sc. in Engineering Cybernetics at the University of Stuttgart, Germany.

  • Master's thesis: Parameter Tuning of Iterative Learning Control Using Reinforcement Learning for Human-Machine Cooperation
10/2013-10/2016

B.Sc. in Engineering Cybernetics at the University of Stuttgart, Germany.

  • Bachelor's thesis: Inversion-based feedforward control design for time-variant transport systems with spatially acting control input
06/2013 Abitur at the Staufer-Gymnasium Waiblingen, Germany.

The Best Interactive Presentation Award at the 8th IFAC Conference on Nonlinear Model Predictive Control (NMPC 2024) 
for my paper Distributed Economic MPC with Adaptive Terminal Weights co-written with Matthias A. Müller and Frank Allgöwer.

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