RESUMO

The development of a method of nonlinear objects control with the evolving feedforward neural networks is considered. The neural networks are used to build a nonlinear model of the object which is then utilized for recursive prediction of the object behavior in the model predictive control system. Genetic algorithms used for the neural network training significantly speed up the training process. The simulation results confirm the effectiveness of the proposed control method.