Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/72885
DC Field | Value | |
---|---|---|
dc.title | Real-time neural network control of a free gyro stabilized mirror system | |
dc.contributor.author | Ge, S.S. | |
dc.contributor.author | Lee, T.H. | |
dc.contributor.author | Zhao, Q. | |
dc.date.accessioned | 2014-06-19T05:13:05Z | |
dc.date.available | 2014-06-19T05:13:05Z | |
dc.date.issued | 1997 | |
dc.identifier.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. | |
dc.identifier.issn | 07431619 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/72885 | |
dc.description.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. | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | ELECTRICAL ENGINEERING | |
dc.description.sourcetitle | Proceedings of the American Control Conference | |
dc.description.volume | 2 | |
dc.description.page | 1076-1080 | |
dc.description.coden | PRACE | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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