Please use this identifier to cite or link to this item: https://doi.org/10.1109/CDC.2009.5400516
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dc.titleRobust adaptive output feedback control of a class of discrete-time nonlinear systems perturbed by nonlinear uncertainties
dc.contributor.authorDai, S.-L.
dc.contributor.authorYang, C.
dc.contributor.authorGe, S.S.
dc.contributor.authorLee, T.H.
dc.date.accessioned2014-06-19T03:26:16Z
dc.date.available2014-06-19T03:26:16Z
dc.date.issued2009
dc.identifier.citationDai, S.-L., Yang, C., Ge, S.S., Lee, T.H. (2009). Robust adaptive output feedback control of a class of discrete-time nonlinear systems perturbed by nonlinear uncertainties. Proceedings of the IEEE Conference on Decision and Control : 7686-7691. ScholarBank@NUS Repository. https://doi.org/10.1109/CDC.2009.5400516
dc.identifier.isbn9781424438716
dc.identifier.issn01912216
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/71656
dc.description.abstractIn this paper, robust adaptive output feedback control is studied for a class of discrete-time nonlinear systems in output-feedback form perturbed by a class of functional nonlinear uncertainties of Lipschitz type. To construct output feedback control, the system is transformed into the form of nonlinear-auto-regressive-moving-average (NARMA), a novel future output prediction is designed based on the NARMA model. With employment of the predicted future outputs, a constructive output feedback adaptive control is proposed with estimates of both parametric and functional nonlinear uncertainties. In the closed-loop system, the effect of the nonlinear uncertainties are completely compensated for such that the exact output tracking is achieved, while other closed-loop signals are guaranteed to be bounded. Simulation results are presented to show the effectiveness of the proposed approach. ©2009 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/CDC.2009.5400516
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/CDC.2009.5400516
dc.description.sourcetitleProceedings of the IEEE Conference on Decision and Control
dc.description.page7686-7691
dc.description.codenPCDCD
dc.identifier.isiut000336893608033
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