Cooperative Control of Multi-Vehicle Systems
 

Abstract: Increases in fast and inexpensive computing and communications have enabled a new generation information-rich control systems that rely on multi-threaded networked execution, distributed optimization, adaptation and learning, and contingency management in increasingly sophisticated ways.  This talk will describe a framework for building such systems, summarize some results from the past few years on  distributed stabilization and optimization, and briefly describe some  of the challenges to control theory that must be addressed to enable systematic design and analysis.  Applications include multi-vehicle systems performing cooperative tasks and autonomous systems with high-performance, distributed processing.

Paper: http://www.cds.caltech.edu/~murray/papers/2006p_mur06-jgcd.html

Biography: Richard M. Murray received the B.S. degree in Electrical Engineering from California Institute of Technology in 1985 and the M.S. and Ph.D. degrees in Electrical Engineering and Computer Sciences from the University of California, Berkeley, in 1988 and 1991, respectively. He is currently the Thomas E. and Doris Everhart Professor of Control and Dynamical Systems and the Director for Information Science and Technology at the California Institute of Technology, Pasadena. Murray's research is in the application of feedback and control to mechanical, information, and biological systems. Current projects include integration of control, communications, and computer science in multi-agent systems, information dynamics in networked feedback systems, analysis of insect flight control systems, and synthetic biology using genetically-encoded finite state machines.

Richard Murray