This paper presents a fuzzy controller to reject sinusoidal disturbances in a dynamical system. First, the fuzzy rules used in the fuzzy control are automatically tuned by evolutionary programming. These fuzzy rules are then used to reject the disturbances in a dynamical system. The robust control technique is applied to compensate for the uncertainties arising from the unknown optimal weight matrix and reconstruction error by using a fuzzy logic system. Simulation results are presented to illustrate the performance of the proposed control.
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