Observer-based adaptive fuzzy-neural control for unknown nonlinear dynamical systems

dc.contributor國立臺灣師範大學電機工程學系zh_tw
dc.contributor.authorY.-G. Leuen_US
dc.contributor.authorT.-T. Leeen_US
dc.contributor.authorW.-Y. Wangen_US
dc.date.accessioned2014-10-30T09:28:16Z
dc.date.available2014-10-30T09:28:16Z
dc.date.issued1999-10-01zh_TW
dc.description.abstractIn this paper, an observer-based adaptive fuzzy-neural controller for a class of unknown nonlinear dynamical systems is developed. The observer-based output feedback control law and update law to tune on-line the weighting factors of the adaptive fuzzy-neural controller are derived. The total states of the nonlinear system are not assumed to be available for measurement. Also, the unknown nonlinearities of the nonlinear dynamical systems are not restricted to the system output only. The overall adaptive scheme guarantees that all signals involved are bounded. Simulation results demonstrate the applicability of the proposed method in order to achieve desired performanceen_US
dc.description.urihttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=790441zh_TW
dc.identifierntnulib_tp_E0604_01_047zh_TW
dc.identifier.issn1083-4419�zh_TW
dc.identifier.urihttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/31969
dc.languageenzh_TW
dc.publisherIEEE Systems, Man, and Cybernetics Societyen_US
dc.relationIEEE Transactions on Systems, Man, And Cybernetics-Part B, 29(5), 583-591.en_US
dc.subject.otherFuzzy controlen_US
dc.subject.otherneural networksen_US
dc.subject.othernonlinear systemsen_US
dc.subject.otheradaptive controlen_US
dc.subject.otherobserver.en_US
dc.titleObserver-based adaptive fuzzy-neural control for unknown nonlinear dynamical systemsen_US

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