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Towards a Unified Theory of Communication and Control

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Abstract:
Networks consisting of systems, sensors, actuators and controllers linked through communication channels are increasingly being built today. Yet a theory which permits viewing communication, sensing and information processing, control and actuators in a unified way is almost non-existent. The aim of this lecture is to suggest how we might approach the construction of such a theory by viewing communication and control in the presence of uncertainty as interconnection of probabilistic systems. This could be thought of as a generalization of Williams' behavioral view of Systems. I illustrate these ideas by viewing stochastic control with partial information and communication in the presence of feedback as examples of the above viewpoint. I also suggest how a theory of stochastic hybrid systems can be constructed along these lines.

Type of Seminar:
Public Seminar
Speaker:
Prof. Sanjoy K. Mitter
LIDS - MIT 35-404 77 Massachusetts Avenue Cambridge, MA 02139 USA
Date/Time:
Apr 11, 2001   17:15
Location:

ETH Zentrum, ETZ E 6, Gloriastr. 35, 8006 Zürich
Contact Person:

Prof. M. Morari
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Biographical Sketch:
Sanjoy K. Mitter received his Ph.D. degree from the Imperial College of Science and Technology in 1965. He taught at Case Western Reserve University from 1965 to 1969. He joined M.I.T. in 1969 where he has been a Professor of Electrical Engineering since 1973. He was the Director of the M.I.T. Laboratory for Information and Decision Systems from 1981 to 1999. He has also been a Professor of Mathematics at the Scuola Normale, Pisa, Italy from 1986 to 1996. He has held visiting positions at Imperial College, London; University of Groningen, Holland; INRIA, France; Tata Institute of Fundamental Research, India; and other universities. He was the McKay Professor at the University of California, Berkeley in March 2000 and has held visiting positions in several American universities. He is a Fellow of the IEEE and a Member of the National Academy of Engineering. He is the winner of the 2000 IEEE Control Systems Award. His current research interests are Communication and Control in a Networked Environment, the relationship of Statistical and Quantum Physics to Information Theory and Control and Autonomy and Adaptiveness for Integrative Organization.