Identification of nonlinear systems with non-persistent excitation using an iterative forward orthogonal least squares regression algorithm

Guo, Y., Guo, L. Z., Billings, S. A. et al. (1 more author) (2015) Identification of nonlinear systems with non-persistent excitation using an iterative forward orthogonal least squares regression algorithm. International Journal of Modelling, Identification and Control, 23 (1). pp. 1-7. ISSN 1746-6172

Abstract

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Item Type: Article
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© 2015 Inderscience Enterprises Ltd. This is an author produced version of a paper subsequently published in International Journal of Modelling, Identification and Control. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: model structure detection; nonlinear system identification; non-persistence; orthogonal forward regression; OFR, iterative learning algorithm; OFR algorithm; iOFR algorithm
Dates:
  • Published: 1 January 2015
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Funding Information:
Funder
Grant number
EUROPEAN COMMISSION - HORIZON 2020
PROGRESS - 637302
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)
EP/I011056/1
Depositing User: Symplectic Sheffield
Date Deposited: 16 Nov 2016 12:04
Last Modified: 17 Nov 2016 13:34
Published Version: http://dx.doi.org/10.1504/IJMIC.2015.067496
Status: Published
Publisher: Inderscience
Refereed: Yes
Identification Number: 10.1504/IJMIC.2015.067496
Open Archives Initiative ID (OAI ID):

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