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Control of Networked and Distributed Heterogeneous Systems

We present recent developments in our effort to provide systematic strategies for control design of distributed systems which may operate over wireline or wireless networks. New results and current work are presented on the control of distributed systems formed from the interconnection of multiple heterogeneous input-output subsystems. Part of the talk will focus on linear systems of this type that do not possess the usual shift invariance property with respect to temporal or spatial variables. The work is developed in an operator theoretic setting, and makes use of semidefinite programming as a central tool. Pertaining to modeling and analyzing network delays the seminar will include recent work on Markovian jump linear systems. Our new multi-vehicles testbed (HOTDEC) designed for extensive experimentation with the control issues arising from control over networks will also be presented. It consists of autonomous hovercraft, wirelessly communicating with each other and users on the Internet.

Type of Seminar:
Symposium on Control and Computation
Prof. Geir E. Dullerud
University of Illinois , USA
Jun 28, 2005   16:15

ETH-Zentrum, Gloriastrasse 35, Zurich, Building ETZ, Room E8
Contact Person:

Prof. M.Morari
No downloadable files available.
Biographical Sketch:
Geir E. Dullerud is Associate Professor of Mechanical Engineering, and Research Associate Professor of the Coordinated Science Laboratory, at the University of Illinois at Urbana-Champaign. Prior to this he was Assistant Professor of Applied Mathematics at the University of Waterloo 1996-1998, after being a Research Fellow at the California Institute of Technology from 1994-1995. In 1994 he received his PhD from the University of Cambridge, England. He has published two books: "A Course in Robust Control Theory" (with F. Paganini), Texts in Applied Mathematics, Springer, 2000, and "Control of Uncertain Sampled-data Systems", Birkhauser 1996. His areas of current research interest include networked and cooperative control, robotic vehicles, complex and hybrid dynamical systems.