Combined fuzzy sliding mode controller for a class of nonlinear systems

In this study, we present an adaptive combined fuzzy sliding mode controller for a class of nonlinear systems with unknown nonlinear dynamics. The proposed control strategy is based on the fuzzy logic and sliding mode control technique (SMC). The adaptive fuzzy logic system type Takagi-Sugeno (T-S) is used to approximate the unknown dynamics of system. In order to assure the robustness on stability and tracking performance, the sliding mode control term is added in the control law. The latter consists to suppress the influence of external disturbances and attenuate fuzzy approximation error. Simulation results illustrate the good performances of the system when the proposed control technique is applied.