Nonlinear System Identification by Haar Wavelets / by Przemysław Śliwiński
(Lecture Notes in Statistics ; 210)
| データ種別 | 電子ブック |
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| 出版者 | Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer |
| 出版年 | 2013 |
| 本文言語 | 英語 |
| 大きさ | XI, 139 p. 27 illus., 18 illus. in color : online resource |
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| 内容注記 | Introduction Hammerstein systems Identification goal Haar orthogonal bases Identification algorithms Computational algorithms. – Final remarks. - Technical derivations |
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| 一般注記 | 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 |
| 著者標目 | *Śliwiński, Przemysław author SpringerLink (Online service) |
| 件 名 | LCSH:Statistics FREE:Statistics FREE:Statistical Theory and Methods |
| 分 類 | DC23:519.5 |
| 巻冊次 | ISBN:9783642293962 
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| ISBN | 9783642293962 |
| URL | http://dx.doi.org/10.1007/978-3-642-29396-2 |
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