A survey on analysis and design of model-based fuzzy control systems

被引:1300
作者
Feng, Gang [1 ]
机构
[1] City Univ Hong Kong, Dept Mfg Engn & Engn Management, Kowloon, Hong Kong, Peoples R China
基金
澳大利亚研究理事会;
关键词
adaptive control; control theory; fuzzy control; fuzzy models; fuzzy systems; Lyapunov functions; robustness; stability; stabilization; Takagi-Sugeno (T-S) fuzzy models;
D O I
10.1109/TFUZZ.2006.883415
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Fuzzy logic control was originally introduced and developed as a model free control design approach. However, it unfortunately suffers from criticism of lacking of systematic stability analysis and controller design though it has a great success in industry applications. In the past ten years or so, prevailing research efforts on fuzzy logic control have been devoted to model-based fuzzy control systems that guarantee not only stability but also performance of closed-loop fuzzy control systems. This paper presents a survey on recent developments (or state of the art) of analysis and design of model based fuzzy control systems. Attention will be focused on stability analysis and controller design based on the so-called Takagi-Sugeno fuzzy models or fuzzy dynamic models. Perspectives of model based fuzzy control in future are also discussed.
引用
收藏
页码:676 / 697
页数:22
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