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Cited 5 time in webofscience Cited 8 time in scopus
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Advanced Interval Type-2 Fuzzy Sliding Mode Control for Robot Manipulator

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dc.contributor.authorHwang, Ji-Hwan-
dc.contributor.authorKang, Young-Chang-
dc.contributor.authorPark, Jong-Wook-
dc.contributor.authorKim, Dong W.-
dc.date.available2020-02-27T23:41:04Z-
dc.date.created2020-02-07-
dc.date.issued2017-
dc.identifier.issn1687-5265-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/7435-
dc.description.abstractIn this paper, advanced interval type-2 fuzzy sliding mode control (AIT2FSMC) for robot manipulator is proposed. The proposed AIT2FSMC is a combination of interval type-2 fuzzy system and sliding mode control. For resembling a feedback linearization (FL) control law, interval type-2 fuzzy system is designed. For compensating the approximation error between the FL control law and interval type-2 fuzzy system, sliding mode controller is designed, respectively. The tuning algorithms are derived in the sense of Lyapunov stability theorem. Two-link rigid robot manipulator with nonlinearity is used to test and the simulation results are presented to show the effectiveness of the proposed method that can control unknown system well.-
dc.language영어-
dc.language.isoen-
dc.publisherHINDAWI LTD-
dc.relation.isPartOfCOMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE-
dc.subjectMIMO NONLINEAR-SYSTEMS-
dc.subjectLOGIC SYSTEMS-
dc.titleAdvanced Interval Type-2 Fuzzy Sliding Mode Control for Robot Manipulator-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.wosid000394901500001-
dc.identifier.doi10.1155/2017/9640849-
dc.identifier.bibliographicCitationCOMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE-
dc.identifier.scopusid2-s2.0-85013335903-
dc.citation.titleCOMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE-
dc.contributor.affiliatedAuthorKang, Young-Chang-
dc.type.docTypeArticle-
dc.subject.keywordPlusMIMO NONLINEAR-SYSTEMS-
dc.subject.keywordPlusLOGIC SYSTEMS-
dc.relation.journalResearchAreaMathematical & Computational Biology-
dc.relation.journalResearchAreaNeurosciences & Neurology-
dc.relation.journalWebOfScienceCategoryMathematical & Computational Biology-
dc.relation.journalWebOfScienceCategoryNeurosciences-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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