Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/72470
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dc.titleAdaptive-predictive PI control of a class of SISO systems
dc.contributor.authorTan, K.K.
dc.contributor.authorHuang, S.N.
dc.contributor.authorLee, T.H.
dc.contributor.authorLeu, F.M.
dc.date.accessioned2014-06-19T05:08:25Z
dc.date.available2014-06-19T05:08:25Z
dc.date.issued1999
dc.identifier.citationTan, K.K.,Huang, S.N.,Lee, T.H.,Leu, F.M. (1999). Adaptive-predictive PI control of a class of SISO systems. Proceedings of the American Control Conference 6 : 3848-3852. ScholarBank@NUS Repository.
dc.identifier.issn07431619
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/72470
dc.description.abstractIn this paper, an adaptive PI control algorithm is developed for a class of SISO nonlinear discrete-time systems based on a generalized predictive control (GPC) approach. The design is model-free, based directly on pseudo-partial-derivatives derived on-line from the input and output information of the system using a standard recursive least squares identification algorithm. Simulation and real-time experiment are provided for real nonlinear systems which are known to be difficult to model and control.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.sourcetitleProceedings of the American Control Conference
dc.description.volume6
dc.description.page3848-3852
dc.description.codenPRACE
dc.identifier.isiutNOT_IN_WOS
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