Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/69193
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dc.titleAdaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients
dc.contributor.authorGe, S.S.
dc.contributor.authorHong, F.
dc.contributor.authorLee, T.H.
dc.contributor.authorHang, C.C.
dc.date.accessioned2014-06-19T02:57:52Z
dc.date.available2014-06-19T02:57:52Z
dc.date.issued2002
dc.identifier.citationGe, S.S.,Hong, F.,Lee, T.H.,Hang, C.C. (2002). Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients. Proceedings of the IEEE Conference on Decision and Control 1 : 961-966. ScholarBank@NUS Repository.
dc.identifier.issn01912216
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/69193
dc.description.abstractIn this paper, adaptive neural design is presented for a class of parametric-strict-feedback nonlinear systems with unknown time delays. The proposed design method does not require a priori knowledge of the signs of the unknown virtual coefficients. The unknown time delays are compensated for using appropriate Lyapunov-Krasovskii functionals in the design. It is proved that the proposed backstepping design method is able to guarantee semi-global uniformly ultimately boundedness of all the signals in the closed-loop.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.sourcetitleProceedings of the IEEE Conference on Decision and Control
dc.description.volume1
dc.description.page961-966
dc.description.codenPCDCD
dc.identifier.isiutNOT_IN_WOS
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