Paper Info
Title
Parameter tracking of time-varying Hammerstein-Wiener systems
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.
Year
DOI
Venue
2021
10.1080/00207721.2021.1931546
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
Keywords
DocType
Volume
Hammerstein-Wiener systems, time-varying, two-stage identification, tracking
Journal
52
Issue
ISSN
Citations 
16
0020-7721
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Feng Yu100.34
X. Hong215711.12