Electronic Resource

Combined Parametric-Nonparametric Identification of Block-Oriented Systems

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1408000190	EB0000281	003.71 Mzy c	Central Library	Available

Detail Information

Series Title

Lecture Notes in Control and Information Sciences

Call Number

003.71 Mzy c

Publisher

Switzerland : Springer Cham., 2013

Collation

xvi, 238.p: Ill.

Language

English

ISBN/ISSN

978-3-319-03596-3

Classification

003.71

Content Type

Text

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Coupled problems (Complex systems)

Specific Detail Info

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Statement of Responsibility

RTS

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