Please use this identifier to cite or link to this item: https://doi.org/10.1109/CDC.2009.5400312
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dc.titleApproximation-based adaptive tracking control of pure-feedback nonlinear systems with multiple unknown time-varying delays
dc.contributor.authorWang, M.
dc.contributor.authorGe, S.S.
dc.date.accessioned2014-06-19T03:00:44Z
dc.date.available2014-06-19T03:00:44Z
dc.date.issued2009
dc.identifier.citationWang, M., Ge, S.S. (2009). Approximation-based adaptive tracking control of pure-feedback nonlinear systems with multiple unknown time-varying delays. Proceedings of the IEEE Conference on Decision and Control : 841-846. ScholarBank@NUS Repository. https://doi.org/10.1109/CDC.2009.5400312
dc.identifier.isbn9781424438716
dc.identifier.issn01912216
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/69442
dc.description.abstractThis paper presents adaptive neural tracking control for a class of non-affine pure-feedback systems with multiple unknown state time-varying delays. The separation technique is introduced to decompose unknown functions of all time-varying delayed states into a series of continuous functions of each delayed state. A novel Lyapunov-Krasovskii functional is employed to compensate for the unknown function of current delayed state, which is effectively free from any restrictive assumption on unknown time-delay functions. The proposed control scheme guarantees the boundedness of all the signals in the closed-loop system and the tracking performance. Simulation studies are provided to demonstrate the effectiveness of the proposed scheme. ©2009 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/CDC.2009.5400312
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/CDC.2009.5400312
dc.description.sourcetitleProceedings of the IEEE Conference on Decision and Control
dc.description.page841-846
dc.description.codenPCDCD
dc.identifier.isiut000336893601056
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