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This paper presents adaptive trajectory tracking control of underactuated surface vessels with uncertain hydrodynamic damping dynamics. Thanks to the universal approximation capability, radial basis function (RBF) neural networks (NNs) are employed to approximate the unknown damping dynamics. A transverse function approach is applied to introduce an additional control input for tackling the difficulties...
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