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The great challenge posed by unmanned surface vehicle is to improve the automation level in practical application. In this paper, an unmanned surface vehicle course tracking controller is designed to overcome the input saturation caused by the limitation of the steering engine. The feedback control law is developed based on backstepping design method with the Lyapunov stability theory. An auxiliary...
This paper presents an adaptive Radial Basis Function (RBF) neural network controller for the nonlinear course control of unmanned surface vessel (USV) with modeling errors and unknown bounded environment disturbances. An adaptive RBF neural network system is employed to approximate the uncertain term induced by modeling errors and unknown bounded environment disturbances. It is theoretically proved...
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