Combined parametric-nonparametric identification of block-oriented systems
著者
書誌事項
Combined parametric-nonparametric identification of block-oriented systems
（Lecture notes in control and information sciences, v. 454）
Springer, c2014
大学図書館所蔵 件 / 全9件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
Hammerstein system.- Wiener system.- Wiener-Hammerstein (sandwich) system.- Large-scale interconnected systems.- Structure detection and model order selection.- Time-varying systems.- Simulation studies.- Summary.
「Nielsen BookData」 より