This paper proposes a novel neural network controller design scheme for a class of affine nonlinear system with unknown actuator dead-zone.First a neural network is introduced to estimate the partial unknown nonlinear dynamic

and then another static network is constructed as a novel compensator to overcome the unknown nonsymmetric dead-zone behavior of the actuator based on the implicit function theorem.Lyapunov theory is used to present the smooth control law and prove the uniform ultimate boundedness of the close-loop tracking error and the networks weights.Furthermore

the tracking error is able to converge to a small neighborhood around zero by adjusting the design parameters.The control scheme proposed in this paper is able to track any smooth desired trajectory steadily on line

and numerical simulation shows its effectiveness and feasibility.