Please use this identifier to cite or link to this item: https://doi.org/10.1109/TSMCB.2003.817055
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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.date.accessioned2014-06-17T02:36:56Z
dc.date.available2014-06-17T02:36:56Z
dc.date.issued2004-02
dc.identifier.citationGe, S.S., Hong, F., Lee, T.H. (2004-02). Adaptive Neural Control of Nonlinear Time-Delay Systems with Unknown Virtual Control Coefficients. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 34 (1) : 499-516. ScholarBank@NUS Repository. https://doi.org/10.1109/TSMCB.2003.817055
dc.identifier.issn10834419
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/54912
dc.description.abstractIn this paper, adaptive neural control is presented for a class of 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 control 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. In addition, the output of the system is proven to converge to a small neighborhood of the origin. Simulation results are provided to show the effectiveness of the proposed approach.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TSMCB.2003.817055
dc.sourceScopus
dc.subjectAdaptive control
dc.subjectNeural networks
dc.subjectNonlinear time-delay systems
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/TSMCB.2003.817055
dc.description.sourcetitleIEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
dc.description.volume34
dc.description.issue1
dc.description.page499-516
dc.description.codenITSCF
dc.identifier.isiut000188464600044
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