Control and System Theory

The group investigates methods and principles to attain desired autonomous (also artificially intelligent) behavior for dynamically changing systems. In research, the focus is on mechanisms of synthesizing and analyzing controllers for technical and non-technical processes, which comprise networked/distributed structures, uncertain components, or heterogenous dynamics. In teaching, the group offers academic education in mathematical modeling, system theory, design and analysis of various types of controllers, and numeric optimization.

The Control and System Theory group is member of the Institute for System Analytics and Control (ISAC).


Current Publication

V. Schmidtke, Z. Liu, and O. Stursberg, “Resilience of Time-Varying Communication Graphs for Consensus of Changing Sets of Computing Agents,” 62nd IEEE Conference on Decision and Control , pp. 3474–3479, 2023.

Current Publication: More Infos


In different projects, the group currently investigates methods of consensus and cooperative control for distributed systems, stochastic control for uncertain systems, optimal and predictive control, networked control, learning-based control, as well as techniques for oscillating systems.

Research: Read More


For the courses offered in the summer semester 2024, participants have to register in the HIS-portal by April 15, 2024. The access data to the courses in Moodle (containing all relevant further information) is emailed to all registered students in the days afterwards.