Stable and optimal adaptive fuzzy control of complex systems using fuzzy dynamic model

Qu Sun; Renhou Li; Pingan Zhang

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Stable and optimal adaptive fuzzy control of complex systems using fuzzy dynamic model

机译：Stable and optimal adaptive fuzzy control of complex systems using fuzzy dynamic model

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摘要

A design method is presented for the stabilization of multivariable complex nonlinear systems which can be represented by fuzzy dynamic model. Firstly, an adaptive fuzzy control law is addressed. Then the closed-loop fuzzy system is robustly stabilized under some bounded perturbations and disturbances by adding a supervising controller. Based on the variable structure control theory of uncertain systems, a sufficient condition for the stability of the closed-loop fuzzy system is also derived using the concept of connective stability in decentralized control of large-scale systems. Under this condition, an optimal fuzzy controller is designed with genetic algorithms. Two examples are given to illustrate the application of the method.

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来源
《Fuzzy sets and systems》 |2003年第1期|1-17|共17页
作者
Qu Sun; Renhou Li; Pingan Zhang;
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作者单位

Department of Electrical Engineering, Shanghai Jiaotong University, 1954 Hua Shan Road, Shanghai 200030, China;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类模糊数学;
关键词
fuzzy dynamic model; complex systems; adaptive fuzzy control; stability; robustness; optimality;

Stable and optimal adaptive fuzzy control of complex systems using fuzzy dynamic model

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