Topic：Optimization-based and Intelligent Control of Cyber-Physical Systems

Date&Time：Oct. 21st 14:00p.m.~15:30p.m.（Beijing Time）

Speaker：Olaf Stursberg

From：University Professor, Head of the Institute

Voov： 99006942765

Abstract：

Distributed Systems, in which dynamically modeled subsystems are controlled by digital units and exchange information by communication networks, are often termed cyber­physical systems (CPS). The control design for this system class is challenging, since the task has to account for the interaction between the subsystems, for uncertainty and possibly time­varying situations, which require controller adaptation and learning. This talk provides an overview of different techniques investigated by the Control and System Theory lab to address these challenges. Starting from a general introduction into control challenges for CPS, the talk will first describe how a hierarchy of optimization-based decision routines leads to safe cooperation of autonomous vehicles. The second part outlines an approach to use the principles of model predictive control (MPC) within a distributed control setting, in which predictions are used not only for the local control of subsystems, but also to foresee and consider delay of communication in the network connecting the controlled subsystems. The following part addresses the question of how stochastically modeled uncertainties of the behavior of interacting subsystems can be embedded into predictive control schemes. The final part reports on an approach to approximate the (often computationally demanding) step of synthesizing optimal controllers by neural networks, while guaranteeing the satisfaction of constraints.

Introduction Of the speaker：

Prof. Dr.-Ing. OlafStursberg is Full Professor and Head of the Control and System Theory Group at the Department of Electrical Engineering and Computer Science, University of Kassel, Gem皿y. From 2015 to 2021, he was a doctoral researcher at the Technical University of Dortmund. From 2001 to 2002 he was a post-doctoral researcher at the Carnegie Mellon University, and a senior researcher and lecturer at the University of Dortmund from 2002 to 2006. From 2006 to 2009 he was a professor for Automation Systems at the Technical University of Munich. From 2009 until now, he is Full Professor at the University of Kassel. His main research areas include methods for optimal and predictive control of networked and hierarchical systems, techniques for analysis and design of hybrid dynamic systems, applications of AI in control engineering, and the control of stochastic and uncertain systems in different domains of application.