We're always looking for motivated students. If you are interested in doing your Bachelor/Master-Thesis or related projects in the field of control and learning, feel free to send me an email and please attach a current transcript of records and a short CV.
Research Interests
Learning-based Control
Data-driven Stochastic MPC
Successfully implementing MPC schemes heavily relies on the accuracy of the underlying system model, which can be difficult to identify in general. We study the integration of direct data-driven control concepts into Stochastic MPC frameworks for the efficient control of unknown systems in uncertain environments. The control of power grids, building climate, and quadrocopter are a few potential fields of application of the proposed controller.
Short Biography
07/2019 - present
Research Associate Chair of Automatic Control Engineering (LSR), Technical University Munich (TUM)
08/2017 - 12/2017
Graduate Student, Department of Electrical & Computer Engineering University of Toronto
10/2015 - 02/2019
Master of Science, Electrical Engineering and Information Technology Focus: Automation Systems Technische Unviersity Darmstadt
10/2011 - 06/2015
Bachelor of Science, Electrical Engineering and Information Technology Focus: Automation Systems Technische Unviersity Darmstadt
Daniels, Annalena; Kerz, Sebastian; Bari, Salman; Gabler, Volker; Wollherr, Dirk: Grasping in Uncertain Environments: A Case Study For Industrial Robotic Recycling. 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, 2023 more…
Kerz, Sebastian; Teutsch, Johannes; Brüdigam, Tim; Leibold, Marion; Wollherr, Dirk: Data-Driven Tube-Based Stochastic Predictive Control. IEEE Open Journal of Control Systems , 2023 more…
Teutsch, Johannes; Ellmaier, Sebastian; Kerz, Sebastian; Wollherr, Dirk; Leibold, Marion: An Online Adaptation Strategy for Direct Data-driven Control. IFAC World Congress 2023, 2023, 6 more…
Teutsch, Johannes; Kerz, Sebastian; Brüdigam, Tim; Wollherr, Dirk; Leibold, Marion: Offline Uncertainty Sampling in Data-driven Stochastic MPC. IFAC World Congress 2023, 2023, 7 more…