Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/62681
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dc.titleReal-time neural-network-based control of a gyro-mirror line-of-sight stabilization platform
dc.contributor.authorLee, T.H.
dc.contributor.authorGe, S.S.
dc.contributor.authorHang, C.C.
dc.contributor.authorZhao, Q.
dc.contributor.authorAu, A.S.
dc.date.accessioned2014-06-17T06:53:43Z
dc.date.available2014-06-17T06:53:43Z
dc.date.issued1998
dc.identifier.citationLee, T.H.,Ge, S.S.,Hang, C.C.,Zhao, Q.,Au, A.S. (1998). Real-time neural-network-based control of a gyro-mirror line-of-sight stabilization platform. International Journal of Systems Science 29 (7) : 745-758. ScholarBank@NUS Repository.
dc.identifier.issn00207721
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/62681
dc.description.abstractIn this paper, we consider the real-time neural-network-based control of a gyro-mirror line-of-sight stabilization platform. This is an example of a multivariable nonlinear servomechanism encountered in certain practical applications, and the appropriate neural-network-based modelling and controller design are discussed. In the paper, real-time experimental results in applying the proposed controller to a pilot-scale gyro-mirror platform are presented to demonstrate its effectiveness. These experiments also serve to verify the analytical results in a proptotype real-time application.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.sourcetitleInternational Journal of Systems Science
dc.description.volume29
dc.description.issue7
dc.description.page745-758
dc.description.codenIJSYA
dc.identifier.isiutNOT_IN_WOS
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