ADAPTIVE VARIABLE STRUCTURE FUZZY WAVELET NETWORK BASED CONTROLLER FOR NONLINEAR SYSTEMS

this paper presents a novel adaptive variable structure fuzzy wavelet network based controller for nonlinear systems. The proposed controller combines the advantages of the fuzzy wavelet networks and those of sliding mode control. Indeed, due to its ability to approximate nonlinear function and its fast convergence, a fuzzy wavelet network system is used as approximator to generate a control signal. To reduce the starting energy caused by the presence of approximation errors and external disturbances, a variable sliding surface has been adopted. The constructed control allows guaranteeing good tracking performances and the robustness of the closed loop system. For illustrating the efficiency of the proposed approach, a simulation example is presented.