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This paper presents a neural multi-step predictive control strategy for on-line ship control application. The strategy adopts both the neural network information processing mode and the predictive control mechanism, and can on-line control a nonlinear dynamical system whose exact mathematical model is not available. The multi-step predictor is performed by a variable radial basis function network...
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