Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/72475
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dc.titleAn approach to adaptive control of continuous-time systems using multiple parallel predictive models
dc.contributor.authorLee, T.H.
dc.contributor.authorKoh, E.K.
dc.date.accessioned2014-06-19T05:08:28Z
dc.date.available2014-06-19T05:08:28Z
dc.date.issued1990
dc.identifier.citationLee, T.H.,Koh, E.K. (1990). An approach to adaptive control of continuous-time systems using multiple parallel predictive models. Proceedings of the American Control Conference : 1091-1094. ScholarBank@NUS Repository.
dc.identifier.issn07431619
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/72475
dc.description.abstractAn approach to the adaptive control o continuous-time systems using multiple parallel predictive models is presented. It is motivated by the generalized predictive control method in discrete time of D. W. Clarke et al. (Automatica, vol. 23, no. 2, pp. 137-148, 1987). A bank of N parallel predictive models, each one applicable to a plant model of different relative degree, is used to develop an adaptive control strategy that requires only knowledge of an upper bound on the order of the plant but does not require exact knowledge of the relative degree. The adaptive controller is also applicable to nonminimum-phase systems.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.sourcetitleProceedings of the American Control Conference
dc.description.page1091-1094
dc.description.codenPRACE
dc.identifier.isiutNOT_IN_WOS
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