Gesamtliste aller Veranstaltungen

Safe, Stable and Explainabile Reinforcement Learning (Prof. Mario Zanon, IMT School for Advanced Studies Lucca)

Data-driven prediction and control with stochastic data: a system identification perspective (Yin Mingzhou, Automatic Control Laboratory, ETH Zürich)

Data-Driven Approaches to Stochastic Linear Systems? Willems' Fundamental Lemma Through the Eyes of Wiener (Prof. Timm Faulwasser, Institute for Energy Systems, TU Dortmund)

Hybrid multi-observer for improving estimation performance (Elena Petri, Université de Lorraine)

Informationsveranstaltung zu Abschlussarbeiten

Learning to control: history and challenges of direct data-driven design (Prof. Simone Formentin, Politecnico di Milano)

Informationsveranstaltung zu Abschlussarbeiten

Data-driven dynamic interpolation and approximation: System theory without transfer function and state space representations (Prof. Ivan Markovsky, Vrije Universiteit Brussel)

A formula for data-driven control of nonlinear systems (Prof. Claudio De Persis, University of Groningen)

Safe Learning-based Control of Mechanical Systems (Dr.-Ing. Thomas Beckers, University of Pennsylvania)

How to Address Uncertainty in Control Systems: Transferring Theory to Application in Robotics (Prof. Erdal Kayacan, Aarhus University)

A scale-free small-gain theorem for hyper-connected networks (Dr. Navid Noroozi, Otto von Guericke University Magdeburg)

Communication Reduction in Distributed Systems (Tobias Sprodowski, University of Bremen)

Minimax strategy in approximate model predictive control (Andrei Pavlov, University of Melbourne)

Model Predictive Control Paradigms for Industrial Applications (Dr. Fahad Albalawi, King Abdullah University of Science and Technology)