Institut für Regelungstechnik Forschung
Systems & Control Seminar

Systems & Control Seminar

Am Institut für Regelungstechnik finden im Rahmen des Systems & Control Seminars regelmäßig Vorträge von international renommierten Forscherinnen und Forschern zu Themen statt, die in direktem Zusammenhang zu den Forschungsschwerpunkten des Instituts stehen. Die folgende Liste enthält die vergangenen und die aktuell geplanten Vorträge des Seminars.

12 Jun
12. Jun. 2024 - 26. Jun. 2024 | 16:00 - 17:00
Systems & Control Seminar (IRT)
Can neural networks solve high dimensional optimal feedback control problems? (Prof. Lars Grüne, Applied Mathematics, University of Bayreuth)
18 Jun
18. Jun. 2024 | 16:00 - 17:00
Systems & Control Seminar (IRT)
A hybrid systems framework for data-based adaptive control of linear time-varying systems (Prof. Andrea Ianelli, Institute for Systems Theory and Automatic Control, University of Stuttgart)
27 Feb
27. Feb. 2024 | 16:00 - 17:00
Systems & Control Seminar (IRT)
Derivative-free Learning of Interpretable Control Policies (Prof. Ali Mesbah, Department of Chemical and Biomolecular Engineering, University of California Berkeley)
17 Jan
17. Jan. 2024 | 15:00 - 16:00
Systems & Control Seminar (IRT)
Polynomial orthogonal bases for data-driven analysis and control of continuous-time systems (Prof. Paolo Rapisarda, University of Southampton)
08 Nov
08. Nov. 2023 | 15:00 - 16:00
Systems & Control Seminar (IRT)
Feedback Optimization for Socio-Physical Networks (Prof. Gianluca Bianchin, ICTEAM & Department Mathematical Engineering University of Louvain)
21 Sep
21. Sep. 2023 | 15:00 - 16:00
Systems & Control Seminar (IRT)
Data-driven prediction and control with stochastic data: a system identification perspective (Yin Mingzhou, Automatic Control Laboratory, ETH Zürich)
24 Okt
24. Okt. 2023 | 17:00 - 18:00
Systems & Control Seminar (IRT)
Safe, Stable and Explainable Reinforcement Learning (Prof. Mario Zanon, IMT School for Advanced Studies Lucca)
27 Jun
27. Jun. 2023 | 16:00 - 17:00
Systems & Control Seminar (IRT)
Data-Driven Approaches to Stochastic Linear Systems? Willems' Fundamental Lemma Through the Eyes of Wiener (Prof. Timm Faulwasser, Institute for Energy Systems, TU Dortmund)
22 Jun
22. Jun. 2023 | 10:30 - 11:30
Systems & Control Seminar (IRT)
Hybrid multi-observer for improving estimation performance (Elena Petri, Université de Lorraine)
18 Jan
18. Jan. 2023 | 16:00 - 17:00
Systems & Control Seminar (IRT)
Learning to control: history and challenges of direct data-driven design (Prof. Simone Formentin, Politecnico di Milano)
25 Okt
25. Okt. 2022 | 16:00 - 17:00
Systems & Control Seminar (IRT)
A formula for data-driven control of nonlinear systems (Prof. Claudio De Persis, University of Groningen)
10 Nov
10. Nov. 2022 | 16:00 - 17:00
Systems & Control Seminar (IRT)
Data-driven dynamic interpolation and approximation: System theory without transfer function and state space representations (Prof. Ivan Markovsky, Vrije Universiteit Brussel)
19 Mai
19. Mai. 2022 | 16:30 - 18:00
Systems & Control Seminar (IRT)
Safe Learning-based Control of Mechanical Systems (Dr.-Ing. Thomas Beckers, University of Pennsylvania)
01 Dez
01. Dez. 2021 | 15:00 - 16:00
Systems & Control Seminar (IRT)
How to Address Uncertainty in Control Systems: Transferring Theory to Application in Robotics (Prof. Erdal Kayacan, Aarhus University)
13 Feb
13. Feb. 2020 | 11:30 - 12:30
Systems & Control Seminar (IRT)
A scale-free small-gain theorem for hyper-connected networks (Dr. Navid Noroozi, Otto von Guericke University Magdeburg)
17 Jul
17. Jul. 2019 | 12:00 - 13:00
Systems & Control Seminar (IRT)
Communication Reduction in Distributed Systems (Tobias Sprodowski, University of Bremen)
10 Jul
10. Jul. 2019 | 12:00 - 13:00
Systems & Control Seminar (IRT)
Minimax strategy in approximate model predictive control (Andrei Pavlov, University of Melbourne)
03 Jul
03. Jul. 2019 | 12:00 - 13:00
Systems & Control Seminar (IRT)
Model Predictive Control Paradigms for Industrial Applications (Dr. Fahad Albalawi, King Abdullah University of Science and Technology)