System identification of Wiener systems with B-spline functions using De Boor recursion

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Mitchell, R. J. and Chen, S. (2013) System identification of Wiener systems with B-spline functions using De Boor recursion. International Journal of Systems Science, 44 (9). pp. 1666-1674. ISSN 0020-7721 doi: 10.1080/00207721.2012.669863

Abstract/Summary

In this article a simple and effective algorithm is introduced for the system identification of the Wiener system using observational input/output data. The nonlinear static function in the Wiener system is modelled using a B-spline neural network. The Gauss–Newton algorithm is combined with De Boor algorithm (both curve and the first order derivatives) for the parameter estimation of the Wiener model, together with the use of a parameter initialisation scheme. Numerical examples are utilised to demonstrate the efficacy of the proposed approach.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/28179
Item Type	Article
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
Uncontrolled Keywords	B-spline, De Boor recursion, Wiener system, system identification
Publisher	Taylor & Francis
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