Abstract
In many practical applications, dynamic systems to be controlled have uncertain parameters. To cope with the parametric uncertainties, analysis and design methods of a robust control scheme are proposed using the feedback linearization of a class of nonlinear systems represented by Takagi-Sugeno fuzzy model. A fuzzy feedback linearization controller is proposed to stabilize the nominal fuzzy system, and a sufficient condition is derived to guarantee the stability of the closed-loop system with bounded parameter uncertainties. For the systems with bounded uncertainty, we can design a robust fuzzy controller by choosing the control parameters satisfying the robust stability condition. Because the design scheme is not a trial and error manner, it provides us freedom of selecting the control parameters showing the desired characteristics. The design methodologies are illustrated by examples and the simulation results are given to verify the validity and effectiveness of the proposed control scheme.
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