Least squares parameter estimation algorithms for non-linear systems

TLDR: The problems of input sensitivity, structure detection, model validation and input signal selection are discussed in the non-linear context.

Abstract: Least squares parameter estimation algorithms for non-linear systems are investigated based on a non-linear difference equation model. A modified extended least squares algorithm, an instrumental variable algorithm and a new suboptimal least squares algorithm are considered. The problems of input sensitivity, structure detection, model validation and input signal selection are also discussed in the non-linear context.

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This is a repository copy of Least Squares Parameter Estimation Algorithms for Nonlinear
Systems.
White Rose Research Online URL for this paper:
http://eprints.whiterose.ac.uk/76436/
Monograph:
Billings, S.A. and Voon, W.S.F. (1983) Least Squares Parameter Estimation Algorithms for
Nonlinear Systems. Research Report. ACSE Report 225 . Department of Control
Engineering, University of Sheffield, Mappin Street, Sheffield
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https://eprints.whiterose.ac.uk/
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