Caines, P: Linear Stochastic Systems

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A comprehensive reference to the theory of linear discrete-time-parameter systems. The book s outstanding feature is the unified presentation, including both input-output and state space representations of stochastic linear systems, together with their inte. N° de ref. del artículo 596415875

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Sinopsis:

Acerca del autor: Peter E. Caines received his BA in mathematics from Oxford University in 1967 and PhD in systems and control theory in 1970 from Imperial College, University of London, under the supervision of David Q. Mayne, FRS. After periods as a postdoctoral researcher and faculty member at UMIST, Stanford, UC Berkeley, Toronto, and Harvard, he joined McGill University, Montreal, in 1980, where he is James McGill Professor and Macdonald Chair in the Department of Electrical and Computer Engineering. He was a Fellow of CIFAR; is a Fellow of the IEEE, SIAM, and the Institute of Mathematics and Its Applications (UK); and was elected to the Royal Society of Canada in 2003. In 2009 he received the IEEE Control Systems Society Bode Lecture Prize. He is a member of Professional Engineers Ontario and a Senior Editor of Nonlinear Analysis: Hybrid Systems; his research interests include stochastic, multi-agent, mean field game, and hybrid systems theory, together with their applications to natural and artificial systems.