An up-to-date, self-contained review of a wide range of recursive methods for stabilization, identification and control of complex stochastic models (guiding a rocket or a plane, organizing multi-access broadcast channels, self-learning of neural networks ...). Suitable for mathematicians (researchers and also students) and engineers.
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The recent development of computation and automation has lead to quick advances in the theory and practice of recursive methods for stabilization, identification and control of complex stochastic models (guiding a rocket or a plane, orgainizing multiaccess broadcast channels, self-learning of neural networks ...). This book provides a wide-angle view of those methods: stochastic approximation, linear and non-linear models, controlled Markov chains, estimation and adaptive control, learning ... Mathematicians familiar with the basics of Probability and Statistics will find here a self-contained account of many approaches to those theories, some of them classical, some of them leading up to current and future research. Each chapter can form the core material for a course of lectures. Engineers having to control complex systems can discover new algorithms with good performances and reasonably easy computation.
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Seller: books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, Germany
gebundene Ausgabe. Condition: Gut. 385 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 740. Seller Inventory # 2279286
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Seller: Better World Books, Mishawaka, IN, U.S.A.
Condition: Very Good. 1997th Edition. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. Seller Inventory # 67631964-6
Seller: Der Buchfreund, Wien, Austria
Original-Pappband. Condition: Sehr gut. gr8 Original-Pappband en Mathematik, Naturwissenschaften (Applications of Mathematics. Stochastic Modelling and Applied Probability. 34); XV pp., 385 pp. Seller Inventory # 1137
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Seller: Black Cat Hill Books, Oregon City, OR, U.S.A.
Hardcover. Condition: Near Fine. First American Edition; First Printing. First English Language Edition (1997) ; First Printing (unstated). Very Near Fine: shows mild sun-blanching to the yellow background field of the back-strip (the black & white titles thereon remain bold and clearly legible) ; else flawless; the binding is square and secure; the text is clean. Free of creased or dog-eared pages in the text. Free of any underlining, hi-lighting or marginalia or marks in the text. Free of ownership names, dates, addresses, notations, inscriptions, stamps, or labels. A handsome, nearly-new copy, structurally sound and tightly bound, showing a single unobtrusive cosmetic imperfection. NOT a Remainder, Book-Club, or Ex-Library. Large 8vo (9.5 x 6.35 x 1.15 inches). Translated from the French by Stephen S. Wilson. Language: English. Weight: 25 Ounces. Yellow boards with black and white titles and black & blue designs at the front panel and black & white titles at the back-strip. First published in French (undated). Hardcover: No DJ as issued. An up-to-date, self-contained review of a wide range of recursive methods for stabilization, identification and control of complex stochastic models (guiding a rocket or a plane, organizing multi-access broadcast channels, self-learning of neural networks .). Suitable for mathematicians (researchers and also students) and engineers. ; Applications of Mathematics; Vol. 34; Large 8vo 9" - 10" tall; viii, 241 pages. Seller Inventory # 59385
Seller: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Germany
Softcover. Condition: gut. 1997. Random Iterative Models. In deutscher Sprache. pages. Seller Inventory # BN533013
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