1. Science
  2. Publications
  3. Information Processing Systems
  4. 1(126)'2015
  5. The model predictive control problem solving on the basis of the evolving multilayer perceptron

The model predictive control problem solving on the basis of the evolving multilayer perceptron

O.O. Bezsonov
Annotations languages:

The article is devoted to development of a method of nonlinear objects control with the evolving multilayer perceptron. The evolving multilayer perceptron is used to build a nonlinear model of the object, which is then used to predict the behavior of a recursive object in the model predictive control. For the neural network training a genetic algorithm is used, what significantly speed up the training process. The simulation results confirm the effectiveness of the proposed control method.
Keywords: forecasting model, genetic algorithm, multi-layered perceptron