Universal neural network controllers

Abstract

Neural networks have been developed for many years. Recently there appeared a number of results on the study of neural networks applying to dynamic system control. To enrich the fundamental basis of analysis, this paper shows that neural networks are universal controllers. That is, if the system to be controlled is stabilized by a continuous controller, there exists a neural network which can approximate the controller such that the controlled system by the neural network is stabilized with a given bound of output error. © 1997 IEEE.