Analysis and design of fuzzy control system
Fuzzy Sets and Systems
Identification of dynamic fuzzy models
Fuzzy Sets and Systems
Robust stability analysis of fuzzy control systems
Fuzzy Sets and Systems
Stability and stabilizability of fuzzy-neural-linear control systems
IEEE Transactions on Fuzzy Systems
An approach to fuzzy control of nonlinear systems: stability and design issues
IEEE Transactions on Fuzzy Systems
Stable and optimal fuzzy control of linear systems
IEEE Transactions on Fuzzy Systems
Stability analysis of discrete-time fuzzy dynamic systems based on piecewise Lyapunov functions
IEEE Transactions on Fuzzy Systems
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This article presents absolute stability conditions for a particular class of Takagi-Sugeno fuzzy control systems. Initially, a Takagi-Sugeno fuzzy control system is transformed into a multivariable Lur'e type system. A simple algorithm for checking the absolute stability of this system is then proposed. Since the key of the proposed algorithm is to solve algebraic Riccati equations, software packages such as MATLAB provides a simple means to check the conditions. The proposed approach does not limit the methods of fuzzification and defuzzification. This article presents several analytical examples to verify the simplicity and efficiency of the proposed approach.