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Title: Combined Parametric-Nonparametric Identification of Block-Oriented Systems
Authors: Mzyk, Grzegorz
Keywords: Engineering;Systems theory;Engineering;Control;Systems Theory, Control;Nonlinear Dynamics;629.8 23;TJ212-225
Issue Date: 2014
Publisher: Springer International Publishing;Imprint Springer,
place: Cham
Series/Report no.: Lecture Notes in Control and Information Sciences,;0170-8643 ;;454.;Lecture Notes in Control and Information Sciences,;0170-8643 ;;454.
Abstract: 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.
Description: Printed edition:;9783319035956.
Table Of Contents: Hammerstein system -- Wiener system -- Wiener-Hammerstein (sandwich) system -- Large-scale interconnected systems -- Structure detection and model order selection -- Time-varying systems -- Simulation studies -- Summary.
ISBN: 9783319035963
9783319035956 (print)
Format: [electronic resource] /
Type Of Material: Book
Appears in Collections:Mathematics

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