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1、InformationSciences235(2013)287–307ContentslistsavailableatSciVerseScienceDirectInformationSciencesjournalhomepage:www.elsevier.com/locate/insAdaptivefuzzydecentralizeddynamicssurfacecontrolfornonlinearlarge-scalesystemsbasedonhigh-gainobservera,⇑a,bb
2、ShaochengTong,YongmingLi,XingjianJingaDepartmentofBasicMathematics,LiaoningUniversityofTechnology,Jinzhou,Liaoning121000,ChinabDepartmentofMechanicalEngineering,HongKongPolytechnicUniversity,HungHom,Kowloon,HongKongarticleinfoabstractArticlehistory:Th
3、ispaperdiscussestheadaptivefuzzydecentralizedoutput-feedbackcontrolproblemforReceived2December2010aclassofnonlinearlarge-scalesystems.Thesystemsunderstudyhaveunknownnonlin-Receivedinrevisedform7February2013earities,mismatchedinterconnectionsincontroli
4、nputs,andunmeasurablestatevariables.Accepted13February2013Therefore,fuzzylogicsystemsareemployedtoapproximatetheunknownnonlinearfunc-Availableonline27February2013tionsinthecontroldesign;andanadaptivehigh-gainobserverisestablishedtoestimatetheunmeasure
5、dstates.Basedonthebacksteppingdesigntechniqueandthedynamicsur-Keywords:facecontrol(DSC)approach,anoveladaptivefuzzydecentralizedoutput-feedbackcontrolAdaptivedecentralizedcontrolschemeisdeveloped.Itisprovedthattheproposedcontrolapproachcanensurethatal
6、lFuzzylogicsystemHigh-gainstateobserverthesignalsoftheclosed-loopsystemaresemi-globallyuniformlyultimatelyboundedNonlinearlarge-scalesystems(SUUB)andtheobservererrorandtrackingerrorcanallconvergetoasmallneighborhoodStabilityanalysisoftheorigin.Theeffe
7、ctivenessoftheproposedapproachisillustratedbysimulationexam-pleswithcomparisonswithseveralexistingmethods.Ó2013ElsevierInc.Allrightsreserved.1.IntroductionInthepastdecades,therehasbeenanincreasinginterestinthedevelopmentoftheoriesandmethodsfordecentra
8、lizedcontroloflarge-scalesystems.Decentralizedcontrolissuesnaturallyarisefromcontrollingmultiplecomplexsystemsinpowerindustry,aerospaceandchemicalengineering,telecommunicationnetworks,andsoon.Themaincharacteristicsofadecentralizedcontrolwouldb
