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Please use this identifier to cite or link to this item: https://doi.org/10.1109/WCICA.2006.1713094
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dc.titleImproved direct adaptive fuzzy control for a class of MIMO nonlinear systems
dc.contributor.authorZhang, T.
dc.contributor.authorGe, S.S.
dc.date.accessioned2014-06-19T03:13:27Z
dc.date.available2014-06-19T03:13:27Z
dc.date.issued2006
dc.identifier.citationZhang, T.,Ge, S.S. (2006). Improved direct adaptive fuzzy control for a class of MIMO nonlinear systems. Proceedings of the World Congress on Intelligent Control and Automation (WCICA) 1 : 3857-3861. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/WCICA.2006.1713094" target="_blank">https://doi.org/10.1109/WCICA.2006.1713094</a>
dc.identifier.isbn1424403324
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/70552
dc.description.abstractThis paper presents an effective scheme of direct adaptive fuzzy control for a class of nonlinear systems with unknown triangular control gain structure. The design is based on the principle of sliding mode control and the approximation capability of the first type fuzzy systems. By introducing the adaptive compensation for optimal approximation error, the closed-loop control system is shown to be globally stable, with tracking errors converging to zero. Simulation results demonstrate the effectiveness of the approach. ©2006 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/WCICA.2006.1713094
dc.sourceScopus
dc.subjectAdaptive control
dc.subjectFuzzy control
dc.subjectFuzzy systems
dc.subjectGlobal stability
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/WCICA.2006.1713094
dc.description.sourcetitleProceedings of the World Congress on Intelligent Control and Automation (WCICA)
dc.description.volume1
dc.description.page3857-3861
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

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