Adaptive tracking fuzzy control for a class of nonlinear system with completely unknown symmetric dead-zone inputs

The problem of adaptive fuzzy tracking control is addressed for a class of nonlinear system with completely unknown symmetrical dead-zone control inputs. The dead-zone input uncertainties in the actuator are introduced by characteristic function. Takagi-Sugeno (T-S) fuzzy system is used to approximate the unknown system function. The proposed method has no need of the a priori knowledge of both the dead-zone´s parameters and the bound of the approximation error. Moreover, only one parameter is necessary to be tuned online such that the complexity of the controller is reduced dramatically. The overall adaptive tracking fuzzy control scheme is shown to have asymptotical stability. Simulation results have verified the effectiveness of the adaptive controller.