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
收藏
页码：1657 / 1662
页数：6
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