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In this paper, a new control algorithm to combine neural-based learning with error predictor is developed for batch processes. First, the control is represented by a radial basis function (RBF) network within the time horizon. Next, to accommodate the advantages of model predictive control, the error predictor is designed based on the batch iteration direction. Finally, the learning algorithm is derived...
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