Optimal multistep neurocontrol

Optimal control of dynamic systems based on feed-forward neural network models is discussed. A multistep optimal control algorithm using direct propagation neuron network structure is developed. The algorithm takes uses the superpositional structure of a neuron network and into account the long-term influence of control signals on the controlled object. The algorithm can be applied commercial companies management.