Non-linear systems control via fuzzy models: a multicontroller approach
Mohamed Boumehraz, K. Benmahammed · International Journal of Modelling Identification and Control · 2007
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.