Robust Fuzzy Control for Uncertain Nonlinear System based on Multi-objective Optimization

被引：0
|
作者：
Hao Wan-Jun [1 ]
Qiao Yan-Hui [1 ]
Zhu Xue-Li [1 ]
Wu Yong Zhi [1 ]
Li Ze [1 ]
机构：
[1] Suzhou Univ Sience & Tecnol, Suzhou 215011, Peoples R China
来源：
PROCEEDINGS OF THE 2012 24TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2012年
关键词：
Fuzzy Control; Uncertain Nonlinear System; Robust Performance; Multi-objective Optimization;
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：
This paper deals with the problem of robust control for Uncertain Nonlinear System via fuzzy control approach. First, a fuzzy controller with robust control capability is proposed. For avoiding complex controller parameters adjustment, Multi-objective particle swarm Optimization (PSO) algorithm is adopted during the controller design. Secondly, the multi-model is employed to represent the nonlinear system with norm-bounded parameter uncertainties. Finally, a simulation example illustrates the effectiveness and the feasibility of the proposed approach.
引用
收藏
页码：1297 / 1300
页数：4
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