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An on-line modular predictor is proposed for control application of ship maneuvering motion. This approach combines parametric identification with non-parametric identifications, which are realized based upon recursive partial least squares regression and variable neural network, respectively. Simulation of predictive ship course control is performed by employing the modular predictor for on-line...
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