Parameter tracking of time-varying Hammerstein-Wiener systems
نویسندگان
چکیده
A two-stage identification algorithm is introduced for tracking the parameters in time-varying Hammerstein-Wiener systems. The Kalman filtering and parameter separation technique are employed proposed algorithm. convergence analysis of this provided. It shown that can guarantee boundedness estimation error. Four simulation examples, including a practical system application electric arc furnace, have been to validate effectiveness approaches, range simulated characteristics.
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ژورنال
عنوان ژورنال: International Journal of Systems Science
سال: 2021
ISSN: ['0020-7721', '1464-5319']
DOI: https://doi.org/10.1080/00207721.2021.1931546