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Highly computational efficiency identification algorithm for multiple-input multiple-output systems
  • Haoming Xing,
  • Feng Ding,
  • Feng Pan
Haoming Xing
Jiangnan University College of Internet of Things Engineering
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Feng Ding
Jiangnan University College of Internet of Things Engineering

Corresponding Author:fding@jiangnan.edu.cn

Author Profile
Feng Pan
Jiangnan University College of Internet of Things Engineering
Author Profile

Abstract

The identification of multiple-input multiple-output (MIMO) systems is an important part of designing complex control systems. This paper studies an auxiliary model least squares iterative (AM-LSI) algorithm for MIMO systems. With the expansion of the system scale and limitations of the computer resources, there is an urgent need for an identification algorithm that provides higher computational efficiency. To address this issue, this paper further derives a hierarchical identification model and proposes a new auxiliary model hierarchical least squares iterative (AM-HLSI) algorithm for MIMO systems by applying the hierarchical identification principle. Through the analysis of the computational efficiency, the AM-HLSI algorithm has higher computational efficiency than the AM-LSI algorithm. Additionally, the feasibility of the AM-LSI and AM-HLSI algorithms is validated by a simulation example.
16 May 2023Submitted to International Journal of Robust and Nonlinear Control
16 May 2023Submission Checks Completed
16 May 2023Assigned to Editor
16 May 2023Review(s) Completed, Editorial Evaluation Pending
01 Jun 2023Reviewer(s) Assigned
26 Jun 2023Editorial Decision: Revise Minor
06 Jul 20231st Revision Received
06 Jul 2023Submission Checks Completed
06 Jul 2023Assigned to Editor
06 Jul 2023Review(s) Completed, Editorial Evaluation Pending
06 Jul 2023Reviewer(s) Assigned
19 Jul 2023Editorial Decision: Accept