Identification of Nonlinear Systems- A Survey

Abstract

A survey of nonlinear system identification algorithms and related topics is presented by extracting significant results from the literature and presenting these in an organised and systematic way. Algorithms based on the functional expansions of Weiner and Volterra, the identification of block oriented and bilinear systems, the selection of input signals, structure detection, parameter estimation and recent results from catastrophe theory are included. The limitations, relationships and applicability of the methods are discussed throughout.

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Item Type:	Monograph
Authors/Creators:	Billings, S.A.
Copyright, Publisher and Additional Information:	The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances.
Dates:	Published: May 1980
Institution:	The University of Sheffield
Academic Units:	The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) > ACSE Research Reports
Depositing User:	MRS ALISON THERESA BARNETT
Date Deposited:	11 Jun 2013 13:36
Last Modified:	15 Jun 2014 07:35
Status:	Published
Publisher:	Department of Control Engineering, University of Sheffield
Series Name:	ACSE Research Report 112
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:75753

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Identification of Nonlinear Systems- A Survey

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