Neural activity inspired asymmetric basis function TV-NARX model for the identification of time-varying dynamic systems

Guo, Y. orcid.org/0000-0002-8588-5172, Wang, L. orcid.org/0000-0001-7129-434X, Li, Y. orcid.org/0000-0002-1751-1742 et al. (4 more authors) (2019) Neural activity inspired asymmetric basis function TV-NARX model for the identification of time-varying dynamic systems. Neurocomputing. ISSN 0925-2312

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 Elsevier. This is an author produced version of a paper subsequently published in Neurocomputing. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: System identification; TV-NARX model; locally regularized orthogonal forward regression; Non-stationary dynamical processes; Neuronal dynamics
Dates:
  • Accepted: 22 April 2019
  • Published (online): 10 May 2019
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: Symplectic Sheffield
Date Deposited: 13 May 2019 14:08
Last Modified: 10 May 2020 00:38
Status: Published online
Publisher: Elsevier BV
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.neucom.2019.04.045

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