Orthogonal Least Squares Methods and Their Application to Nonlinear System Identification
Chen, S., Billings, S.A. and Luo, W.
(1988)
Orthogonal Least Squares Methods and Their Application to Nonlinear System Identification.
Research Report.
Acse Report 343
.
Dept of Automatic Control and System Engineering. University of Sheffield
Abstract
Identification algorithms which combine structure determination and parameter estimation are developed based on well-known orthogonal least squares methods. These algorithms can provide information about the structure, or which terms to include in the model and final parameter estimates in a very simple and efficient manner for a class of multivariable discrete-time nonlinear stochastic systems which are linear in the parameters.
Metadata
Item Type:
Monograph
Authors/Creators:
Chen, S.
Billings, S.A.
Luo, W.
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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