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Computation of Decentralized Control Systems

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Abstract:
In this talk we discuss the problem of constructing decentralized control systems, which is an outstanding problem in control theory. For centralized control systems, there are many effective algorithms for computing controllers, and this is possible for a wide class of systems including deterministic models such as linear dynamical systems and stochastic models such Markov decision processes. For decentralized control the situation is very different. For many problems where the centralized counterpart is simple, such as control to minimize the mean square error, there are no known computationally tractable algorithms for the decentralized case. We present an overview of what is known, along with our recent results, in which we show that for certain restricted classes of problems efficient algorithms for finding optimal controller do exist, and for a more general class of systems one may compute approximately optimal controllers efficiently.

http://tableau.stanford.edu/~lall/
Type of Seminar:
Public Seminar
Speaker:
Prof. Sanjay Lall
Stanford University, USA
Date/Time:
Mar 12, 2008   17:15 /
Location:

ETH Zurich, Gloriastrasse 35, Building ETZ, Room E6
Contact Person:

Prof. D'Andrea
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Biographical Sketch:
Sanjay Lall is Associate Professor of Aeronautics and Astronautics and Vance D. and Arlene C. Coffman Faculty Scholar at Stanford University. Until 2000 he was a Research Fellow at the California Institute of Technology in the Department of Control and Dynamical Systems, and prior to that he was NATO Research Fellow at Massachusetts Institute of Technology, in the Laboratory for Information and Decision Systems. He received the Ph.D. in Engineering from the University of Cambridge, England. Professor Lall's research focuses on the development of advanced engineering methodologies for the design of control systems which occur in a wide variety of aerospace, mechanical, electrical and chemical systems. Professor Lall is a senior member of the IEEE. In 2007 he received the NSF Career award, and the George S. Axelby Outstanding Paper Award by the IEEE Control Systems Society. In 2005 he received the Graduate Service Recognition Award from Stanford university.