An Adaptive Orthogonal Least Squares Algorithm for Model Subset Selection and Nonlinear System Identification

Wei, H. L. and Billings, S.A. (2005) An Adaptive Orthogonal Least Squares Algorithm for Model Subset Selection and Nonlinear System Identification. Research Report. ACSE Research Report 884 . Department of Control Engineering, University of Sheffield

Abstract

Metadata

Authors/Creators:
  • Wei, H. L.
  • 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.
Keywords: information criteria, model subset selection, model structure detection nonlinear system identification, orthogonal least squares, prediction error sum of squares
Dates:
  • Published: February 2005
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: 12 Jun 2013 11:29
Last Modified: 08 Jun 2014 10:51
Status: Published
Publisher: Department of Control Engineering, University of Sheffield
Series Name: ACSE Research Report 884

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