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Model-free adaptive tensor product control for a class of nonlinear systems

Zhao, Dongya, Gao, Shouli, Li, Fei, Yan, Xinggang, Spurgeon, Sarah K. (2024) Model-free adaptive tensor product control for a class of nonlinear systems. Control Engineering Practice, 147 . Article Number 105912. ISSN 0967-0661. (doi:10.1016/j.conengprac.2024.105912) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:105347)

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Language: English

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https://doi.org/10.1016/j.conengprac.2024.105912

Abstract

This paper presents a new data driven control for a class of discrete-time multiple input and multiple output nonlinear systems which uses the principles of model-free adaptive control and the tensor product. The design of a linearization model using the notion of the tensor product overcomes reset problems in the calculation of the pseudo partial derivative and also improves control performance. The stability of the proposed method is guaranteed by theoretical analysis. Numerical simulation results and an experimental trial are presented to validate the effectiveness of the proposed approach.

Item Type: Article
DOI/Identification number: 10.1016/j.conengprac.2024.105912
Uncontrolled keywords: Model-free adaptive control; Tensor product; Dynamic linearization; Nonlinear systems
Subjects: T Technology
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Funders: National Natural Science Foundation of China (https://ror.org/01h0zpd94)
SWORD Depositor: JISC Publications Router
Depositing User: JISC Publications Router
Date Deposited: 18 Mar 2024 15:28 UTC
Last Modified: 01 May 2024 08:45 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/105347 (The current URI for this page, for reference purposes)

University of Kent Author Information

Yan, Xinggang.

Creator's ORCID: https://orcid.org/0000-0003-2217-8398
CReDIT Contributor Roles: Writing - review and editing
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