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An efficient implementation of generalized predictive control using multi-layer feed forward neural network as the plantpsilas nonlinear model is presented. Two algorithm i.e. Newton Raphson and Levenberg Marquardt algorithm are implemented and their results are compared. The details about this implementation are given. The utility of each algorithm is outlined in the conclusion. In using Levenberg...
In this paper a nonlinear internal model control (NIMC) strategy based on neural network model is proposed. The NN model is identified from input output data using three layers feed forward network trained with back propagation algorithm. The NIMC controller consists of a model inverse controller and robustness filter with a single tuning parameter. Also a scheme has been developed using the feedback...
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