A Survey on Analysis and Design of Model-Based Fuzzy Control Systems

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,...

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Bibliographic Details
Published in:IEEE transactions on fuzzy systems 2006-10, Vol.14 (5), p.676-697
Main Author: Feng, G.
Format: Article
Language:English
Subjects:
Adaptive control
Control systems
control theory
Design engineering
Dynamical systems
Dynamics
Fuzzy
Fuzzy control
Fuzzy logic
fuzzy models
Fuzzy set theory
Fuzzy sets
Fuzzy systems
Industrial control
Lyapunov functions
Medical control systems
Robust stability
robustness
Service robots
stability
Stability analysis
stabilization
Takagi-Sugeno (T-S) fuzzy models
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Summary: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
ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2006.883415