Neural Networks for Iterative Learning Control

Iterative learning control is a method of determining the control signal required to drive a plant to a desired state. This paper gives a brief description of the development of learning control and gives one solution using a two neural network system. One network emulates the plant, the other is the controller. The controller learns to control the plant by learning to control the plant emulator. Results of a computer simulation of this method are also given.