Abstract
In this paper, we investigate the adaptive output feedback control for a class of nonlinear systems with input delay and disturbances. A neural network (NN) observer is designed to estimate the unmeasurable states. Besides, we also develop an auxiliary system to compensate for the effect of the input delay. By the aid of adaptive backstepping technique, an adaptive controller is designed which can guarantee the boundedness of all the signals in the closed-loop systems. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.
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