Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/72885
| Title: | Real-time neural network control of a free gyro stabilized mirror system | Authors: | Ge, S.S. Lee, T.H. Zhao, Q. |
Issue Date: | 1997 | Citation: | Ge, S.S.,Lee, T.H.,Zhao, Q. (1997). Real-time neural network control of a free gyro stabilized mirror system. Proceedings of the American Control Conference 2 : 1076-1080. ScholarBank@NUS Repository. | Abstract: | Motivated by the work in [1][2], neural network modelling and control of a free gyro stabilized mirror system are presented in this paper. Two kinds of Radial Basis Function networks, Gaussian and Hardy's multi-quadric, are investigated. Asymptotic tracking performance is guaranteed, and at the same time uniformly stable adaptation is achieved. Real-time experimental results demonstrate the effectiveness of the adaptive controller. | Source Title: | Proceedings of the American Control Conference | URI: | http://scholarbank.nus.edu.sg/handle/10635/72885 | ISSN: | 07431619 |
| Appears in Collections: | Staff Publications |
Show full item record
Files in This Item:
There are no files associated with this item.
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.