Universal neural network controllers

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationIEEE International Conference on Neural Networks - Conference Proceedings
Pages815-820
Volume2
Publication statusPublished - 1997
Externally publishedYes

Publication series

Name
Volume2

Conference

Title1997 IEEE International Conference on Neural Networks (ICNN'97)
LocationWestin Galleria Hotel
PlaceUnited States
CityHouston, Texas
Period9 - 12 June 1997

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.

Citation Format(s)

Universal neural network controllers. / Chak, Chu Kwong; Feng, Gang; Ma, Jian; Palaniswami, Marimuthu.

IEEE International Conference on Neural Networks - Conference Proceedings. Vol. 2 1997. p. 815-820.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review