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

TLDR

Fuzzy logic control began as a model‑free design approach, yet it has faced criticism for lacking systematic stability analysis and controller design, prompting recent research to develop model‑based fuzzy control systems that guarantee stability and performance. This survey reviews recent advances in the analysis and design of model‑based fuzzy control systems. The review concentrates on stability analysis and controller design using Takagi–Sugeno fuzzy models or fuzzy dynamic models. The paper also discusses future perspectives for model‑based fuzzy control.

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.