Neural networks for control: Theory and practice

The past five years have witnessed a great deaf of progress in both the theory and the practice of control using neural networks. After a long period of experimentation and research, neural network-based controllers are finally emerging in the market place, and the benefits of such controllers are now being realized in a wide variety of fields. The practical applications are also calling for a better understanding of the theoretical principles involved. In this paper we review the current status of control practice using neural networks and the theory related to it and attempt to assess the advantages of neurocontrol for technology.