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Nonparametric System Identification

Name: Nonparametric System Identification
Brand: Cambridge University Press
SKU: 02051721
Price: 29041 HUF
Availability: InStock
Author: Wlodzimierz GreblickiMiroslaw Pawlak
ISBN: 9781107410626

Wlodzimierz GreblickiMiroslaw Pawlak

Language

English

Book Paperback

Libristo code: 02051721

Publishers Cambridge University Press, October 2012

Presenting a thorough overview of the theoretical foundations of non-parametric system identificatio... Full description

Libristo code: 02051721

197 b

29 041 Ft

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Presenting a thorough overview of the theoretical foundations of non-parametric system identification for nonlinear block-oriented systems, this 2008 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.