Spring Semester 2016
Robust Control – 088792
Winter Semester 2015/16
Networked Dynamic Systems: Analysis and Design – 086730
Control Theory – 084738
Summer Semester 2015
Guest Lecturer at University of Stuttgart
Institute for Systems Theory and Automatic Control
Analysis and Control of Multi-Agent Systems
Spring Semester 2015
Networked Dynamic Systems: Analysis and Design – 086730
Undergraduate Control Seminar – 085804s
Winter Semester 2014/2015
Dynamic Systems – 084737
Summer Semester 2014
Guest Lecturer at University of Stuttgart
Institute for Systems Theory and Automatic Control
Analysis and Control of Multi-Agent Systems
Spring Semester 2014
Networked Dynamic Systems: Analysis and Design – 086730
Winter Semester 2013/2014
Dynamic Systems – 084730
Summer Semester 2013
Guest Lecturer at University of Stuttgart
Institute for Systems Theory and Automatic Control
Analysis and Control of Multi-Agent Systems
Spring Semester 2013
Networked Dynamic Systems: Analysis and Design – Advanced Methods in Control (086722)
Multi-agent systems, or networked dynamic systems, are systems composed of dynamic units that interact with each other over an information exchange network. These systems can be used to perform team objectives with applications ranging from formation flying to distributed computation. Challenges associated with these systems are their analysis and synthesis, arising due to their decoupled, distributed, large-scale nature, and due to limited inter-agent sensing and communication capabilities. This course, intended as a \emph{graduate level course}, provides an introduction to these systems via tools from graph theory, dynamic systems theory, and optimization. The course will cover a variety of modeling techniques for different types of networked systems and proceed to show how their properties, such as stability and performance, can be analyzed. The course will also explore techniques for designing these systems, including distributed control strategies, and optimization methods for network design. The course will also cover real-world applications by presenting recent results obtained in the distributed formation control of multi-robot systems.
course website