Abstract:

A direct adaptive fuzzy predictive control method for a class of unknown multivariable nonlinear systems is presented. In this method, the plant is represented by a predictive model consisting of a linear time varying submodel plus a nonlinear submodel, then the fuzzy systems are used to design a predictive controller directly, and the unknown vector in the controller and the estimated value of the approximation error are adjusted by the time-varying gain adaptive law. It is proved that the proposed method can make the tracking error converge to a neighborhood of the origin. Simulation results demonstrate the effectiveness of the proposed control scheme.