Parameter tracking of time-varying Hammerstein-Wiener Systems

Feng, Y. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2021) Parameter tracking of time-varying Hammerstein-Wiener Systems. International Journal of Systems Science, 52 (16). pp. 3478-3492. ISSN 0020-7721 doi: 10.1080/00207721.2021.1931546

Abstract/Summary

A two-stage identification algorithm is introduced for tracking the parameters in time-varying Hammerstein-Wiener systems. The Kalman filtering algorithm and parameter separation technique are employed in the proposed algorithm. The convergence analysis of this two-stage algorithm is provided. It is shown that the proposed algorithm can guarantee the boundedness of the parameter estimation error. Four simulation examples, including a practical system application of electric arc furnace, have been employed to validate the effectiveness of the proposed approaches, for a range of simulated time-varying characteristics.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/99204
Identification Number/DOI	10.1080/00207721.2021.1931546
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
Publisher	Taylor & Francis
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