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1、Vol.32,No.3ACTAAUTOMATICASINICAMay,2006Fault-tolerantControlofNonlinearSystemUsingCreditAssignFuzzyCMAC')ZHUDa-QiKONGMin(ResearchCen£二ofControlScienceandEngineering,SouthernYangtzeUniversity,Wuxi214122)(E-mail:zdg367Qyahoo.com.cn,zhizi0708Qsohu.com)AbstractTheadaptivefault-
2、tolerantcontrolschemeofdynamicnonlinearsystembasedonthecreditassignedfuzzyCMACneuralnetworkispresented.Theproposedlearningapproachusesthelearnedtimesofaddressedhypercubesasthecredibility,theamountsofcorrectingerrorsareproportionaltotheinversionofthelearnedtimesofaddressedhy
3、percubes.Withthisidea,thelearningspeedcanindeedbeimproved.BasedontheimprovedCMAClearningapproachandusingtheslidingcontroltechnique,theeffectivecontrollawreconfigurationstrategyispresented.Thesystemstabilityandperformanceareanalyzedunderfailurescenarios.Thenumericalsimulatio
4、ndemonstratestheeffectivenessoftheimprovedCMACalgorithmandtheproposedfault-tolerantcontroller.KeywordsCreditassignedfuzzyCMAC,faultdiagnosis,fault-tolerantcontrol,nonlinearsystem1IntroductionDuringthelasttwodecades,extensiveresearchactivitieshavefocusedonfault-tolerantcontr
5、ol(FTC)tomaintainthesystemstabilityandtoavoidlossesundervariousfailurescenarios.Reference[1-3]providedexcellentoverviewsofrecentresearchworkonFTC.However,linksbetweenfaultdiagnosisandFTCtechniquesarestilllackinglll,andsomerecentresultsontheintegrationoffaultdiagnosiswithFTC
6、canbefoundin[4-刘.Fromtheserecentresearchresults,twokeycomponentsmustberesearchedfurther:1)theonlinefaultdiagnosismoduleconsistingofthefaultdetectionmechanismandonlinefaultestimator;and2)thecontrollermoduleconsistingofnominalcontrollerandafault-tolerantcontroller.Thefaultinf
7、ormationgeneratedbydiagnosisprocedurecanbeveryusefultoFTC,andaccuracyandspeedoffaultdiagnosisareveryimportantforactivefault-tolerantcontrol.Withdevelopmentofartificialneuralnetwork,ithasstrongsuperiorityinfaultdiagnosis,especiallyforthecasesthatcannotbeexpressed饰formula,and
8、incomplexnonlinearsituationwithstrongaccommodation.Invariousneuralnetworks,theBP(b