Title :
A Survey on Analysis and Design of Model-Based Fuzzy Control Systems
Author_Institution :
Dept. of Manuf. Eng., City Univ. of Hong Kong, Kowloon
Abstract :
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
Keywords :
adaptive control; closed loop systems; control system synthesis; fuzzy control; stability; Takagi-Sugeno fuzzy model; adaptive control; closed loop system; fuzzy logic control; model based fuzzy control system; model free control design; stability analysis; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Industrial control; Medical control systems; Robust stability; Service robots; Stability analysis; Adaptive control; Lyapunov functions; Takagi–Sugeno (T–S) fuzzy models; control theory; fuzzy control; fuzzy models; fuzzy systems; robustness; stability; stabilization;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
DOI :
10.1109/TFUZZ.2006.883415