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Titlebook: Optimal Control of Random Sequences in Problems with Constraints; A. B. Piunovskiy Book 1997 Kluwer Academic Publishers 1997 Optimal contr

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书目名称Optimal Control of Random Sequences in Problems with Constraints
编辑A. B. Piunovskiy
视频video
丛书名称Mathematics and Its Applications
图书封面Titlebook: Optimal Control of Random Sequences in Problems with Constraints;  A. B. Piunovskiy Book 1997 Kluwer Academic Publishers 1997 Optimal contr
描述Controlled stochastic processes with discrete time form a very interest­ ing and meaningful field of research which attracts widespread attention. At the same time these processes are used for solving of many applied problems in the queueing theory, in mathematical economics. in the theory of controlled technical systems, etc. . In this connection, methods of the theory of controlled processes constitute the every day instrument of many specialists working in the areas mentioned. The present book is devoted to the rather new area, that is, to the optimal control theory with functional constraints. This theory is close to the theory of multicriteria optimization. The compromise between the mathematical rigor and the big number of meaningful examples makes the book attractive for professional mathematicians and for specialists who ap­ ply mathematical methods in different specific problems. Besides. the book contains setting of many new interesting problems for further invf‘stigatioll. The book can form the basis of special courses in the theory of controlled stochastic processes for students and post-graduates specializing in the ap­ plied mathematics and in the control theory of co
出版日期Book 1997
关键词Optimal control; control; ecology; programming; symbols
版次1
doihttps://doi.org/10.1007/978-94-011-5508-3
isbn_softcover978-94-010-6319-7
isbn_ebook978-94-011-5508-3
copyrightKluwer Academic Publishers 1997
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978-94-010-6319-7Kluwer Academic Publishers 1997
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Linear-Quadratic Systems,th average losses. The results of Section 3.1 cannot be applied because the spaces . and . are not compact. The solution is of the Markov (stationary) selector type which depends on the initial probability distribution in the case of a finite horizon and in the discounted model.
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