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) › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | IEEE International Conference on Neural Networks - Conference Proceedings |
| Pages | 815-820 |
| Volume | 2 |
| Publication status | Published - 1997 |
| Externally published | Yes |
Publication series
| Name | |
|---|---|
| Volume | 2 |
Conference
| Title | 1997 IEEE International Conference on Neural Networks (ICNN'97) |
|---|---|
| Location | Westin Galleria Hotel |
| Place | United States |
| City | Houston, Texas |
| Period | 9 - 12 June 1997 |
Link(s)
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 et al.
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) › peer-review
