书目名称 | Combined Parametric-Nonparametric Identification of Block-Oriented Systems |
编辑 | Grzegorz Mzyk |
视频video | http://file.papertrans.cn/231/230077/230077.mp4 |
概述 | Focuses on a problem of block-oriented nonlinear dynamic system identification in the presence of random disturbances.The presented class of systems includes various interconnections of linear dynamic |
丛书名称 | Lecture Notes in Control and Information Sciences |
图书封面 |  |
描述 | .This book considers a problem of block-oriented nonlinear dynamic system identification in the presence of random disturbances. This class of systems includes various interconnections of linear dynamic blocks and static nonlinear elements, e.g., Hammerstein system, Wiener system, Wiener-Hammerstein ("sandwich") system and additive NARMAX systems with feedback. Interconnecting signals are not accessible for measurement. The combined parametric-nonparametric algorithms, proposed in the book, can be selected dependently on the prior knowledge of the system and signals. Most of them are based on the decomposition of the complex system identification task into simpler local sub-problems by using non-parametric (kernel or orthogonal) regression estimation. In the parametric stage, the generalized least squares or the instrumental variables technique is commonly applied to cope with correlated excitations. Limit properties of the algorithms have been shown analytically and illustrated in simple experiments.. |
出版日期 | Book 2014 |
关键词 | Block-Oriented Systems; Control Nonlinear Dynamics; Hammerstein System; NARMAX Systems; Nonlinear Dynami |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-319-03596-3 |
isbn_softcover | 978-3-319-03595-6 |
isbn_ebook | 978-3-319-03596-3Series ISSN 0170-8643 Series E-ISSN 1610-7411 |
issn_series | 0170-8643 |
copyright | Springer International Publishing Switzerland 2014 |