Gradient-based and least-squares-based iterative algorithms for Hammerstein systems using the hierarchical identification principle

This study derives a least-squares-based iterative algorithm and a gradient-based iterative algorithm for Hammerstein systems using the decomposition-based hierarchical identification principle. The simulation results confirm that the proposed two algorithms can give satisfactory identification accu...

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Bibliographic Details
Published in:IET control theory & applications Vol. 7; no. 2; pp. 176 - 184
Main Authors: Ding, Feng, Liu, Xinggao, Chu, Jian
Format: Journal Article
Language:English
Published: Stevenage The Institution of Engineering and Technology 01.01.2013
John Wiley & Sons, Inc
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ISSN:1751-8644, 1751-8652
Online Access:Get full text
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Summary:This study derives a least-squares-based iterative algorithm and a gradient-based iterative algorithm for Hammerstein systems using the decomposition-based hierarchical identification principle. The simulation results confirm that the proposed two algorithms can give satisfactory identification accuracies and the least-squares-based iterative algorithm has faster convergence rates than the gradient-based iterative algorithm.
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ISSN:1751-8644
1751-8652
DOI:10.1049/iet-cta.2012.0313