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Hierarchical recursive gradient identification of Hammerstein nonlinear systems based on the key term separation
  • Lei Lv,
  • Wei Sun,
  • Jian Pan
Lei Lv
Xidian University
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Wei Sun
Xidian University

Corresponding Author:[email protected]

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Jian Pan
Hubei University of Technology
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Abstract

This article explores recursive algorithms for parameter identification issues of Hammerstein output-error systems. The proposed approach includes the key term separation auxiliary model recursive gradient algorithm, which utilizes the gradient search and the key term separation. To enhance computational efficiency, the system is decomposed into two or three subsystems through the hierarchical identification principle. Based on this, a key term separation auxiliary model two-stage recursive gradient algorithm and a key term separation auxiliary model three-stage recursive gradient algorithm are presented. The simulation results verify the validity of the obtained algorithms.
20 Apr 2023Submitted to International Journal of Robust and Nonlinear Control
20 Apr 2023Submission Checks Completed
20 Apr 2023Assigned to Editor
20 Apr 2023Review(s) Completed, Editorial Evaluation Pending
03 May 2023Reviewer(s) Assigned
25 Jun 2023Editorial Decision: Revise Minor
20 Jul 20231st Revision Received
20 Jul 2023Assigned to Editor
20 Jul 2023Submission Checks Completed
20 Jul 2023Review(s) Completed, Editorial Evaluation Pending
25 Jul 2023Reviewer(s) Assigned
12 Aug 2023Editorial Decision: Revise Minor
28 Aug 20232nd Revision Received
28 Aug 2023Submission Checks Completed
28 Aug 2023Assigned to Editor
28 Aug 2023Review(s) Completed, Editorial Evaluation Pending
31 Aug 2023Reviewer(s) Assigned
09 Sep 2023Editorial Decision: Accept