Items related to Theory and Practice of Recursive Identification
Synopsis
Methods of recursive identification deal with the problem of building mathematical models of signals and systems on-line, at the same time as data is being collected. Such methods, which are also known as adaptive algorithms or sequential parameter estimation methods, may be applied to a wide spectrum of online adaptive systems, such as devices for signal processing, prediction, or control and are useful for modeling systems in general. For example, they can be used to analyze the demand for power on an electric generating grid and help the grid adjust to continually changing power needs, or applied to the changing conditions of a papermaking plant, or to monitoring pollution in a river.
This book provides a comprehensive and systematic framework for developing, describing, and analyzing such recursive algorithms. It has been carefully designed and organized to meet the needs of readers with different objectives. With a myriad of algorithms now in use, it provides a simple and coherent frame of reference for understanding the subject and will serve as a guide to the large number of choices made available by the advent of inexpensive, powerful digital processors.
Readers primarily interested in theory will find a detailed development of convergence analysis and asymptotic distribution results. For graduate students it is a basic introduction to the subject. And for engineers interested in practical applications, the book's earlier theory-oriented chapters are equipped with "user's summaries" that provide direct access to the discussion of practical aspects developed in the final three chapters on implementation and applications.
This book is fifth in The MIT Press Signal Processing, Optimization, and Control Series, edited by Alan S. Willsky.
"synopsis" may belong to another edition of this title.
- PublisherMit Pr
- Publication date1983
- ISBN 10 026212095X
- ISBN 13 9780262120951
- BindingHardcover
- LanguageEnglish
- Number of pages551
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Theory and Practice of Recursive Identification
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MIT Press, Cambridge, Mass, 1983
ISBN 10: 026212095X
ISBN 13: 9780262120951
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Hardcover
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Cloth. Condition: Fine. Dust Jacket Condition: Good. xix, [3], 529 p. 24 cm. Cream cloth hardcover in mauve dustjacket. Jacket has some tears and chips to edges and hole in lower spine. Appendices, references, index. Seller Inventory # 116445
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Theory and Practice of Recursive Identification
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Theory and practice of recursive identification.
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23 cm. original cloth. 530 pp. diagrams. references. index. "MIT Press Series in Signal Processing, Optimization, and Control". -(libr labels, library stamps, slightly bumped, library notes on title and endpaper, covers slightly stained, otherwise (very) good). 1010g. Seller Inventory # 71103
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Theory and Practice of Recursive Identification
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Condition: Sehr gut. Zustand: Sehr gut - Gepflegter, sauberer Zustand. Außen: Klebereste / Klebespuren. Aus der Auflösung einer renommierten Bibliothek. Kann Stempel beinhalten. Fehlt: Schutzumschlag. | Seiten: 551 | Produktart: Sonstiges. Seller Inventory # 41652478/202
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Theory and Practice of Recursive Identification
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Theory and Practice of Recursive Identification (Signal Processing, Optimization, and Control)
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Theory and Practice of Recursive Identification
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Cumberland, Rhode Island, U.S.A.: Mit Pr, 1983
ISBN 10: 026212095X
ISBN 13: 9780262120951
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Hardcover
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Hardcover. Condition: Good. Dust Jacket Condition: Very Good. hardback book in good to very good condition,dust jacket is very good in clear mylar protective sleeve,first 15 pages have ink underlining. Seller Inventory # 127634
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