Robust multivariable feedback control
Robust multivariable feedback control
Stability analysis and design of fuzzy control systems
Fuzzy Sets and Systems
Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
Fuzzy Systems: Modeling and Control
Fuzzy Systems: Modeling and Control
Nonlinear Control Systems
A multirule-base controller using the robust property of a fuzzy controller and its design method
IEEE Transactions on Fuzzy Systems
Robust stability analysis and design method for the fuzzy feedback linearization regulator
IEEE Transactions on Fuzzy Systems
An improved stable adaptive fuzzy control method
IEEE Transactions on Fuzzy Systems
Robust stabilization of the Takagi-Sugeno fuzzy model via bilinear matrix inequalities
IEEE Transactions on Fuzzy Systems
Adaptive fuzzy-based tracking control for nonlinear SISO systems via VSS and H∞ approaches
IEEE Transactions on Fuzzy Systems
Robust fuzzy control of nonlinear systems with parametric uncertainties
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
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In this paper, a robust stable fuzzy control design based on feedback linearization is presented. Takagi–Sugeno fuzzy model is used as representing the nonlinear plant model and uncertainty is assumed to be included in the model structure with known bounds. For this structured uncertainty, the closed system can be analyzed by applying the perturbation system stability analysis to the fuzzy feedback linearization systems and a sufficient condition is derived to guarantee the stability of the closed-loop system with bounded parameter uncertainties. Based on the developed analysis method, we can design a robust fuzzy controller by choosing the control parameters satisfying the robust stability condition.