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Stable Adaptive Fuzzy PID Controller for Nonlinear Uncertain Systems

Abstract This paper investigates an improved fuzzy adaptive control scheme for a class of nonlinear uncertain systems. A fuzzy system, whose inputs are the feedback error signals instead of the state variables, is used to cancel the nonlinear function. By using the feedback errors as the inputs of the fuzzy system, the disturbance rejection performance can be achieved because the controller will become more sensitive to the presence of the tracking errors. To prove the validity of the proposed method, the simulation results are illustrated in the end.