A Regularised Least Squares Algorithm for Nonlinear Rational Model Identification
Mao, K.Z., Billings, S.A. and Zhu, Q.M.
(1996)
A Regularised Least Squares Algorithm for Nonlinear Rational Model Identification.
Research Report.
ACSE Research Report 609
.
Department of Automatic Control and Systems Engineering
Abstract
A new regularised least squares estimation algorithm is derived for the estimation of nonlinear dynamic rational models. Theoretical analysis and numerical simulations demonstrate that the new algorithm provides improved estimates compared with previously developed rational model estimators.
Metadata
Item Type:
Monograph
Authors/Creators:
Mao, K.Z.
Billings, S.A.
Zhu, Q.M.
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.
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