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Neural networks are universal approximators that can estimate and control plant dynamics under severe process nonlinearities. In this paper, we propose a direct adaptive inverse control (DAIC) for nonlinear plants based on multilayered feed forward neural network (MFNN) using back propagation through model (BPTM) algorithm. Neural Network (NN) controller is designed directly in the feed forward loop...
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