A performance approach to fuzzy control design for nonlinear systems

dc.contributor國立臺灣師範大學機電工程學系zh_tw
dc.contributor.authorYeh, Zong-Muen_US
dc.date.accessioned2014-10-30T09:36:09Z
dc.date.available2014-10-30T09:36:09Z
dc.date.issued1994-06-24zh_TW
dc.description.abstractThis paper presents a systematic methodology to the design of a decentralized fuzzy logic controller for large-scale nonlinear systems. A new method which is based on a performance index of sliding mode control is used to derive fuzzy rules and an adaptive algorithm is used to reduce the chattering phenomenon. The simulation results of a two-inverted pendulum system and a two-link manipulator demonstrate that the attractive features of the proposed approach include a smaller residual error and robustness against nonlinear interactions.en_US
dc.identifierntnulib_tp_E0402_01_001zh_TW
dc.identifier.issn0165-0114zh_TW
dc.identifier.urihttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/36875
dc.languageenzh_TW
dc.publisherElsevieren_US
dc.relationInternational Journal of Fuzzy Sets and Systems, 64(3), 339-352. (SCI)en_US
dc.relation.urihttp://dx.doi.org/10.1016/0165-0114(94)90157-0zh_TW
dc.rights.urihttp://www.elsevier.com/wps/find/homepage.cws_homezh_TW
dc.subject.otherFuzzy controlen_US
dc.subject.otheradaptive controlen_US
dc.subject.otherinverted pendulumen_US
dc.titleA performance approach to fuzzy control design for nonlinear systemsen_US

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