Parameter tracking of time-varying Hammerstein-Wiener systems

Feng Yu and Xia Hong

International Journal of Systems Science, 2021, vol. 52, issue 16, 3478-3492

Abstract: 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.

Date: 2021
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DOI: 10.1080/00207721.2021.1931546

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