Direct Adaptive Control for a Class of Switched Nonlinear Systems Based on LS-SVM

被引：0

作者：

Xie Chunli ^{[1
]}

Zhao Dandan ^{[2
]}

Wang Yuzhe ^{[1
]}

机构：

[1] Dalian Nationalities Univ, Coll Electromech & Informat Engn, Dalian 116600, Liaoning, Peoples R China

[2] Dalian Nationalities Univ, Sch Comp Sci & Engn, Dalian 116600, Liaoning, Peoples R China

来源：

PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC) | 2016年

关键词：

Switched nonlinear systems; LS-SVM; Adaptive control; Switching signal; SUPPORT VECTOR MACHINES; TRACKING CONTROL; NEURAL-NETWORKS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A direct adaptive control scheme based on LS-SVM is proposed for a class of switched nonlinear dynamic systems with unknown nonlinearities in this paper. The LS-SVM technique is used to build the adaptive controller. The updating rule of LS-SVM parameters is derived from the switched Lyapunov function method, plus, an admissible switching signal with average dwell-time technique is given. The proposed control law can guarantee that the output tracking error and the states of the obtained closed-loop systems are asymptotically Lyapunov stable. A simulation example is given to validate the effectiveness and robustness of the proposed control approach.

引用

页码：1657 / 1662

页数：6

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