Release Time:2022-06-30  Hits:

Indexed by: Journal Article

Date of Publication: 2022-06-28

Journal: 信息与控制

Volume: 39

Issue: 1

Page Number: 66-70,76

ISSN: 1002-0411

Abstract: A method of robust adaptive tracking control for nonlinear systems based on least squares support vector machines (LS-SVM) is presented. The no-linear system inverse error caused by modeling error and uncertain factors is regulated with LS-SVM on-line in order to make the system outputs accurately track the outputs of the reference model.The updating role of LS-SVM parameters is derived from Lyapunov stability theroy. The stability of the nonlinear system is proved. Simulaton results demonstrate the effectiveness of the proposed method.

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