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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Official URL: 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 |
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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) |
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