Adaptive fuzzy controller for nonlinear systems via genetic algorithm

被引：0
|
作者：
Chen, P. C. [2 ]
Chiang, W. L. [2 ]
Chen, C. W. [3 ]
Tsai, C. H. [1 ]
机构：
[1] Taiwan Hospitality & Tourism Coll, Ctr Tour Geog Informat Syst, 268 Chungshin St, Shoufong Township, Hualien County, Taiwan
[2] Natl Cent Univ, Dept Civil Engn, Chungli 320, Taiwan
[3] Natl Cent Univ, Dept Logist Management, Chungli 320, Taiwan
来源：
AEE' 08: PROCEEDINGS OF THE 7TH WSEAS INTERNATIONAL CONFERENCE ON APPLICATION OF ELECTRICAL ENGINEERING | 2008年
关键词：
fuzzy sliding mode controller; Lyapunov direct method; genetic algorithm;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we describe a method of stability analysis for a GA-Based reference adaptive fuzzy sliding model controller for the handling of these problems for a nonlinear system. Firstly, an uncertain and nonlinear plant for the tracking of a reference trajectory is well approximated and described via a fuzzy model involving fuzzy logic control rules. Then, the initial values of the consequent parameter vector are decided via a genetic algorithm. Finally, an adaptive fuzzy sliding model controller Is derived to simultaneously stabilize and control the system. The stability of the nonlinear system is ensured by the derivation of the stability criterion based upon Lyapunov's direct method.
引用
收藏
页码：71 / +
页数：3
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