Stability analysis and design of fuzzy control systems
Fuzzy Sets and Systems
An introduction to fuzzy control
An introduction to fuzzy control
Robust control by fuzzy sliding mode
Automatica (Journal of IFAC)
Robust stability analysis of fuzzy control systems
Fuzzy Sets and Systems
Design of a single-input fuzzy logic controller and its properties
Fuzzy Sets and Systems
Intelligent Control: Aspects of Fuzzy Logic and Neural Nets
Intelligent Control: Aspects of Fuzzy Logic and Neural Nets
Information Sciences: an International Journal
Conventional fuzzy control and its enhancement
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy controllers: synthesis and equivalences
IEEE Transactions on Fuzzy Systems
Stability analysis of the simplest Takagi-Sugeno fuzzy control system using circle criterion
Information Sciences: an International Journal
Graphical L2-stability analysis of Takagi--Sugeno control systems in the frequency domain
Fuzzy Sets and Systems
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The stability analysis for the fuzzy logic controller (FLC) has widely been reported. Furthermore some researches have been introduced to simplify the design process of FLC's. One of them is to decrease the number of parameters representing the antecedent part of the fuzzy control rule. So we briefly explain a simple-structured fuzzy logic controller (SFLC) which uses only a single variable at the antecedent part of a fuzzy control rule. We analyze that it is absolutely stable based on the sector bounded condition. We expand a nonlinear controlled plant into a Taylor series about a nominal operating point. The fuzzy control system is transformed into a Lure system with nonlinearities. We also show the feasibility of the proposed stability analysis through a numerical example of a mass-damper-spring system.