Isbn: 9780521868044 - nonparametric system identification (25 risultati)

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Condizione: New. An overview of non-parametric system identification for nonlinear block-oriented systems for researchers and practitioners. Num Pages: 400 pages, 93 b/w illus. BIC Classification: TJK. Category: (P) Professional & Vocational. Dimension: 253 x 177 x 31. Weight in Grams: 990. . 2008. Illustrated. hardcover. . . . . …

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Condizione: New. An overview of non-parametric system identification for nonlinear block-oriented systems for researchers and practitioners. Num Pages: 400 pages, 93 b/w illus. BIC Classification: TJK. Category: (P) Professional & Vocational. Dimension: 253 x 177 x 31. Weight in Grams: 990. . 2008. Illustrated. hardcover. . . . . Books ship from the US and Ireland. …

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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Presenting a thorough overview of the theoretical foundations of non-parametric system identification for nonlinear block-oriented systems, this book shows that non-parametric regression can be successfully applied to system identification, and it highlights the achievements in doing so. With emphasis on Hammerstein, Wiener systems, and their multidimensional extensions, the authors show how to identify nonlinear subsystems and their characteristics when limited information exists. Algorithms using trigonometric, Legendre, Laguerre, and Hermite series are investigated, and the kernel algorithm, its semirecursive versions, and fully recursive modifications are covered. The theories of modern non-parametric regression, approximation, and orthogonal expansions, along with new approaches to system identification (including semiparametric identification), are provided. Detailed information about all tools used is provided in the appendices. This book is for researchers and practitioners in systems theory, signal processing, and communications and will appeal to researchers in fields like mechanics, economics, and biology, where experimental data are used to obtain models of systems.…

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Hardcover. Condizione: new. Hardcover. Presenting a thorough overview of the theoretical foundations of non-parametric system identification for nonlinear block-oriented systems, this book shows that non-parametric regression can be successfully applied to system identification, and it highlights the achievements in doing so. With emphasis on Hammerstein, Wiener systems, and their multidimensional extensions, the authors show how to identify nonlinear subsystems and their characteristics when limited information exists. Algorithms using trigonometric, Legendre, Laguerre, and Hermite series are investigated, and the kernel algorithm, its semirecursive versions, and fully recursive modifications are covered. The theories of modern non-parametric regression, approximation, and orthogonal expansions, along with new approaches to system identification (including semiparametric identification), are provided. Detailed information about all tools used is provided in the appendices. This book is for researchers and practitioners in systems theory, signal processing, and communications and will appeal to researchers in fields like mechanics, economics, and biology, where experimental data are used to obtain models of systems. An overview of non-parametric system identification for nonlinear block-oriented systems for researchers and practitioners. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. An overview of non-parametric system identification for nonlinear block-oriented systems for researchers and practitioners.&Uumlber den AutorWlodzimierz Greblicki is a professor at the Institute of Computer Engineering, Control, and.…

Buch. Condizione: Neu. Nonparametric System Identification | Wlodzimierz Greblicki (u. a.) | Buch | Englisch | 2008 | Cambridge University Press | EAN 9780521868044 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…