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dc.contributor.authorHu, Xiaoxiang
dc.contributor.authorGao, Huijun
dc.contributor.authorKarimi, Hamid Reza
dc.contributor.authorWu, Ligang
dc.contributor.authorHu, Changhua
dc.date.accessioned2012-01-06T14:00:47Z
dc.date.available2012-01-06T14:00:47Z
dc.date.issued2011
dc.identifier.citationWu, X., Gao, H., Karimi, H. R., Wu, L., & Hu, C. (2011). Fuzzy reliable tracking control for flexible air-breathing hypersonic vehicles. International Journal of Fuzzy Systems, 13(4), 1-9.no_NO
dc.identifier.issn1562-2479
dc.identifier.urihttp://hdl.handle.net/11250/136815
dc.descriptionPublished version of an article in the journal: International Journal of Fuzzy Systems. Also available from the publisher: http://www.ijfs.org.tw/no_NO
dc.description.abstractIn this paper, we present a fuzzy reliable tracking control design method for flexible air-breathing hypersonic vehicles (FAHVs) subject to disturbances and possible sensor/actuator failures. This problem is challenging due to the strong coupling effects, variable operating conditions and possible failures in FAHVs. First, Takagi-Sugeno (T-S) fuzzy model isused to represent the longitudinal dynamics model of FAHVs. Then, by considering the disturbances and the faults, the fuzzy reliable tracking problem is proposed, and the tracking control problem is transformed into a stabilization problem. A fuzzy reliable state-feedback controller is designed to guarantee the asymptotic stability of the closed-system. By the Lyapunov approach, the existence conditions for such a controller are established in terms of linear matrix inequalities. With the designed controllers, the reference command can be tracked in spite of actuator/sensor faults. Simulation has demonstrated the proposed design scheme.no_NO
dc.language.isoengno_NO
dc.publisherChinese Fuzzy Systems Assosiationno_NO
dc.titleFuzzy reliable tracking control for flexible air-breathing hypersonic vehiclesno_NO
dc.typeJournal articleno_NO
dc.typePeer reviewedno_NO
dc.subject.nsiVDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413no_NO
dc.subject.nsiVDP::Mathematics and natural science: 400::Information and communication science: 420::Knowledge based systems: 425no_NO
dc.source.pagenumber1-9no_NO
dc.source.volume13no_NO
dc.source.journalInternational Journal of Fuzzy Systemsno_NO
dc.source.issue3no_NO


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