DocumentCode
315201
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
Volume
2
fYear
1997
fDate
9-12 Jun 1997
Firstpage
815
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks,1997., International Conference on
Conference_Location
Houston, TX
Print_ISBN
0-7803-4122-8
Type
conf
DOI
10.1109/ICNN.1997.616128
Filename
616128
Link To Document