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Nonlinear System Identification by Haar Wavelets

Nonlinear System Identification by Haar Wavelets
Catalogue Information
Field name Details
Dewey Class 519.5
Title Nonlinear System Identification by Haar Wavelets ([Ebook]) / by Przemysław Śliwiński.
Author Śliwiński, Przemysław
Other name(s) SpringerLink (Online service)
Publication Berlin, Heidelberg : Springer
, 2013.
Physical Details XI, 139 pages. 27 illus., 18 illus. in color. : online resource.
Series Lecture Notes in Statistics 0930-0325 ; ; 210
ISBN 9783642293962
Summary Note In order to precisely model real-life systems or man-made devices, both nonlinear and dynamic properties need to be taken into account. The generic, black-box model based on Volterra and Wiener series is capable of representing fairly complicated nonlinear and dynamic interactions, however, the resulting identification algorithms are impractical, mainly due to their computational complexity. One of the alternatives offering fast identification algorithms is the block-oriented approach, in which systems of relatively simple structures are considered. The book provides nonparametric identification algorithms designed for such systems together with the description of their asymptotic and computational properties.:
Contents note Introduction -- Hammerstein systems -- Identification goal -- Haar orthogonal bases -- Identification algorithms -- Computational algorithms. â Final remarks. - Technical derivations.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site http://dx.doi.org/10.1007/978-3-642-29396-2
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