Non-linear systems control via fuzzy models: a multicontroller approach
by Mohamed Boumehraz, Khier Benmahammed
International Journal of Modelling, Identification and Control (IJMIC), Vol. 2, No. 1, 2007

Abstract: This paper presents a Lyapunov-based switching controller design method for non-linear systems using Takagi-Sugeno fuzzy models. The basic idea of the proposed approach is to represent the fuzzy model as a set of uncertain linear systems. The controller is obtained by solving the corresponding set of Algebraic Ricatti Equations (AREs). A simulation example is given to illustrate the effectiveness of this approach.

Online publication date: Sun, 01-Jul-2007

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