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In this paper, robust adaptive neural network (NN) control is investigated for a general class of uncertain multiple-input-multiple-output (MIMO) nonlinear systems with unknown control coefficient matrices and input nonlinearities. For nonsymmetric input nonlinearities of saturation and deadzone, variable structure control (VSC) in combination with backstepping and Lyapunov synthesis is proposed for...
In this paper, robust adaptive tracking control is proposed for ocean surface vessels based on neural network. In the tracking control design, parametric uncertainties, unknown disturbances and input saturation are explicitly considered. Using neural network (NN) approximation and backstepping control techniques, full state feedback control and output feedback control are investigated to tackle system...
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