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ADAPTIVE LINEAR NETWORK IN MODEL PREDICTIVE CONTROL OF CONTINUOUS CHEMICAL REACTOR

The contribution is aimed at predictive control of nonlinear processes with the help of adaptive linear artificial neural network as the predictor. Since this methodology is relatively wide, paper only concentrates on the prediction via artificial neural networks. Special attention is paid to the on-line adaption of the predictor. The proposed method is tested in simulations on a nonlinear system.