Contact
+49 711 685 67744
+4971168567735
Email
Pfaffenwaldring 9
70569 Stuttgart
Germany
Room: 3.234
Office Hours
On appointment
Subject
I'm working in the field of Model Predictive Control (MPC). My research focuses on robust MPC for uncertain systems that are affected by disturbances.
- Klöppelt, C. ; Schwenkel, L. ; Allgöwer, F. ; Müller, M. A.: Transient Performance of Tube-based Robust Economic Model Predictive Control. In: Proc. IFAC Conf. Nonlinear Model Predictive Control (NMPC), Proc. IFAC Conf. Nonlinear Model Predictive Control (NMPC). Bratislava, Slovakia, 2021, S. 28–35
- Schwenkel, L. ; Köhler, J. ; Müller, M. A ; Allgöwer, F.: Model predictive control for linear uncertain systems using integral quadratic constraints, arXiv:2104.05444, 2021. — submitted
- Schwenkel, L. ; Guo, M. ; Bürger, M.: Optimizing Sequences of Probabilistic Manipulation Skills Learned from Demonstration. In: Proceedings of the Conference on Robot Learning, Proceedings of the Conference on Robot Learning. Bd. 100 : PMLR, 2020, S. 273--282
- Köhler, J. ; Schwenkel, L. ; Koch, A. ; Berberich, J. ; Pauli, P. ; Allgöwer, F.: Robust and optimal predictive control of the COVID-19 outbreak. In: Annual reviews in Control, Annual reviews in Control. (2020). — to appear
- Schwenkel, L. ; Köhler, J. ; Müller, M. A. ; Allgöwer, F.: Dynamic uncertainties in model predictive control: Guaranteed stability for constrained linear systems. In: 59th IEEE Conference on Decision and Control (CDC), 59th IEEE Conference on Decision and Control (CDC), 2020, S. 1235–1241
- Schwenkel, L. ; Gharbi, M. ; Trimpe, S. ; Ebenbauer, C.: Online learning with stability guarantees: A memory-based warm-starting for real-time MPC. In: Automatica, Automatica. Bd. 122 (2020), S. 109247
- Schwenkel, L. ; Köhler, J. ; Müller, M. A. ; Allgöwer, F.: Robust Economic Model Predictive Control without Terminal Conditions. In: Proc. of 21st IFAC World Congress, Proc. of 21st IFAC World Congress, 2020
- Schwenkel, L. ; Gharbi, M. ; Trimpe, S. ; Ebenbauer, C.: Online learning with stability guarantees: A memory-based real-time model predictive controller, arXiv:1812.09582, 2018. — Extended version of (Schwenkel, et.al., 2020, Online learning with stability guarantees: A memory-based warm-starting for real-time MPC)
WS 2021/22 |
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SS 2021 |
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WS 2020/21 |
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SS 2020 |
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WS 2019/20 |
since 07/2019 |
Research Assistant at the Institute for Systems Theory and Automatic Control, University of Stuttgart |
04/2017 − 05/2019 |
Master studies Engineering Cybernetics at the University of Stuttgart Master thesis: "Leveraging Data in Model Predictive Control" |
12/2018 − 05/2019 |
Internship at Bosch Center for Artificial Intelligence (BCAI), Robert Bosch GmbH, Renningen Topic: Learning from Demonstration |
10/2014 − 03/2017 |
Bachelor studies Engineering Cybernetics at the University of Stuttgart Bachelor thesis: "Accelerated Gradient Methods for Convex Optimization" |
10/2012 − 09/2014 |
Studies Mathematics and Physics for teaching at the University of Tübingen, without graduation due to change of subject. |
06/2012 |
Abitur at the Graf Eberhard Gynmasium in Bad Urach |