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This paper aims to develop a neural controller using the vectorial backstepping technique for dynamically positioned surface ships with uncertainties and unknown disturbances. The radial basis function networks are employed to compensate for the uncertainties of ship dynamics and disturbances in controller design. The advantage of the proposed control scheme is that there is no requirement of any...
A general fuzzified cerebellar model articulation controller (GFCMAC) is proposed. The mapping of receptive field functions, the selection law of membership function and the learning algorithm are presented. Recursive least-squares temporal difference algorithm (RLS-TD) is deduced, which can use data efficiently with faster convergence and less computational burden. Using RLS-TD method a reinforcement...
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