书目名称 | Nonlinear System Identification by Haar Wavelets |
编辑 | Przemysław Śliwiński |
视频video | |
概述 | Provides nonparametric algorithms based on standard and unbalanced Haar bases.Demonstrates applicability of nonlinear approximation schemes to nonlinear system identification.Offers fast identificatio |
丛书名称 | Lecture Notes in Statistics |
图书封面 |  |
描述 | 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. |
出版日期 | Book 2013 |
关键词 | Haar bases; computational algorithms; nonlinear approximation; nonlinear system identification; nonparam |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-642-29396-2 |
isbn_softcover | 978-3-642-29395-5 |
isbn_ebook | 978-3-642-29396-2Series ISSN 0930-0325 Series E-ISSN 2197-7186 |
issn_series | 0930-0325 |
copyright | Springer-Verlag Berlin Heidelberg 2013 |