Neural networks for control theory and practice 论文
1996Proceedings of the IEEE引用 259
Neural Networks and ApplicationsFuzzy Logic and Control SystemsControl Systems and Identification
摘要
The past five years have witnessed a great deal of progress in both the theory and the practice of control using neural net works. After a long period of experimentation and research neural network-based controllers are finally emerging in the marketplace 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.