User:Murrayrm: Difference between revisions

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Richard Murray, Professor of Control & Dynamical Systems and Bioengineering, Caltech.
[[Image:Murray-sp07.jpg|left]]
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.  He is currently a Professor of Control & Dynamical Systems and Bioengineering 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 biological circuit design.  
 
* [http://www.cds.caltech.edu/~murray My homepage at Caltech]
* [http://www.cds.caltech.edu/~murray My homepage at Caltech]
* [http://www.cds.caltech.edu/~murray/amwiki ''Feedback Systems: An Introduction for Scientists and Engineers''] (textbook)
* [http://www.cds.caltech.edu/~murray/amwiki ''Feedback Systems: An Introduction for Scientists and Engineers''] (textbook)
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* [[MurrayRM:Software notes]]
* [[MurrayRM:Software notes]]
* [[CAGEN: Critical Assessment of Genetically Engineered Networks]]
* [[CAGEN: Critical Assessment of Genetically Engineered Networks]]
* [[Biomolecular Breadboards]]

Latest revision as of 15:18, 17 November 2012

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. He is currently a Professor of Control & Dynamical Systems and Bioengineering 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 biological circuit design.