Improved model identification for non-linear systems using a random subsampling and multifold modelling (RSMM) approach

Wei, H.L. and Billings, S.A. (2009) Improved model identification for non-linear systems using a random subsampling and multifold modelling (RSMM) approach. International Journal of Control, 82 (1). pp. 27-42. ISSN 0020-7179

Abstract

Metadata

Authors/Creators:
  • Wei, H.L. (W.Hualiang@sheffield.ac.uk)
  • Billings, S.A.
Copyright, Publisher and Additional Information: © 2009 Taylor & Francis. This is an author produced version of a paper subsequently published in International Journal of Control. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: cross-validation, model structure/subset selection, non-linear system identification, parameter estimation, random resampling, split-sample
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Miss Anthea Tucker
Date Deposited: 30 Apr 2009 11:54
Last Modified: 08 Feb 2013 16:58
Published Version: http://dx.doi.org/10.1080/00207170801955420
Status: Published
Publisher: Taylor & Francis
Refereed: Yes
Identification Number: 10.1080/00207170801955420

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