Optimal Control Of Singularly Perturbed Linear Systems And Applications

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CRC Press, Jan 4, 2001 - Technology & Engineering - 326 pages
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Highlights the Hamiltonian approach to singularly perturbed linear optimal control systems. Develops parallel algorithms in independent slow and fast time scales for solving various optimal linear control and filtering problems in standard and nonstandard singularly perturbed systems, continuous- and discrete-time, deterministic and stochastic, multimodeling structures, Kalman filtering, sampled data systems, and much more.

 

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Contents

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III
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IV
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IX
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LIII
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About the author (2001)

Zoran Gajic." Professor Zoran Gajic has been teaching linear systems, controls, and networking courses in the Electrical and Computer Engineering Department at Rutgers University, New Jersey since 1984. He is the author or coauthor of more than fifty journal papers, primarily published in "IEEE Transactions on Automatic Control" and "IFAC Automatica" journals, and seven books in the fields of linear and bilinear control systems published by Academic Press, Prentice Hall International, Marcel Dekker, and Springer Verlag. Professor Gajic has delivered two plenary lectures at international conferences and presented almost 100 conference papers. He serves on the editorial board of the journal "Dynamics of Continuous, Discrete, and Impulsive Systems," and has been a guest editor of a special issue of that journal, on control systems technology. Professor Gajic received the B.S. and M.S. degrees in Electrical Engineering from the University of Belgrade, and the M.S. degree in Applied Mathematics and the Ph.D. degree in Systems Science Engineering from Michigan State University. He is a life master of the U.S. Chess Federation and a master of the World Chess Federation.

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