TRAINING OF DIAGONAL RECURRENT NEURAL NETWORK PREDICTIVE CONTROLLER USING GENETIC ALGORITHMS

This paper proposes a neural network predictive control scheme based on generalized predictive control(GPC).The predictive controller is made of diagonal recurrent neural network predictive controller(DRNPC) and feed forward neural network steady state compensator (FNC).Two kinds of neural networks are trained using genetic algorithms.The simulation results show satosfactory performance of the neural network predictive controller for nonlinear plants with dead time.