INTELLIGENT CONTROL OF DYNAMIC-SYSTEMS

A neural network controller is developed to learn the inverse dynamics of unknown dynamic systems and to serve as a feedforward controller. Artificial neural networks, which consist of a set of processing units with interconnections between them, are used to get the desired outpu t. The interconnections, known as weights, can be on-line tuned. Hence the controller is adaptive in nature. Neural networks can be used to represent the inverse dynamics of unknown dynamic systems. The error b ack propagation technique is used in the learning process. The control ler is intelligent enough to learn from its experience. The performanc e of the intelligent controller for learning and control of dynamic sy stems is very successful.