Title :
Universal neural network controllers
Author :
Chak, Chu Kwong ; Feng, Gang ; Ma, Jian ; Palaniswami, Marimuthu
Author_Institution :
Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia
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
Keywords :
neurocontrollers; stability; dynamic system control; output error bound; stability; universal neural network controllers; Artificial neural networks; Control systems; Electrical engineering; Electronic mail; Error correction; Function approximation; Information systems; Neural networks; Neurons; Vectors;
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
DOI :
10.1109/ICNN.1997.616128
