Neural Control Systems
Bernard Widrow and Françoise Beaufays*
Department of Electrical Engineering
Stanford, CA 94305-4055
In the past decade, the field of neural networks has grown from a mere handful of researchers to thousands spread throughout academics and industry worldwide. Applications have been developed in domains as varied as character recognition, pattern classification, dynamic system control, and stock market prediction. In this paper, we concentrate on the application of feedforward multilayer neural networks to nonlinear control. After a brief introduction on adaptive linear combiners and multilayer neural networks, we present one of the most famous algorithms used in neural control: ...