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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)AbstractTheadaptivefa
2、ult-tolerantcontrolschemeofdynamicnonlinearsystembasedonthecreditassignedfuzzyCMACneuralnetworkispresented.Theproposedlearningapproachusesthelearnedtimesofaddressedhypercubesasthecredibility,theamountsofcorrectingerrorsareproportionaltotheinversionofthelearnedtimesofadd
3、ressedhypercubes.Withthisidea,thelearningspeedcanindeedbeimproved.BasedontheimprovedCMAClearningapproachandusingtheslidingcontroltechnique,theeffectivecontrollawreconfigurationstrategyispresented.Thesystemstabilityandperformanceareanalyzedunderfailurescenarios.Thenumeri
4、calsimulationdemonstratestheeffectivenessoftheimprovedCMACalgorithmandtheproposedfault-tolerantcontroller.KeywordsCreditassignedfuzzyCMAC,faultdiagnosis,fault-tolerantcontrol,nonlinearsystem1IntroductionDuringthelasttwodecades,extensiveresearchactivitieshavefocusedonfau
5、lt-tolerantcontrol(FTC)tomaintainthesystemstabilityandtoavoidlossesundervariousfailurescenarios.Reference[1-3]providedexcellentoverviewsofrecentresearchworkonFTC.However,linksbetweenfaultdiagnosisandFTCtechniquesarestilllackinglll,andsomerecentresultsontheintegrationoff
6、aultdiagnosiswithFTCcanbefoundin[4-刘.Fromtheserecentresearchresults,twokeycomponentsmustberesearchedfurther:1)theonlinefaultdiagnosismoduleconsistingofthefaultdetectionmechanismandonlinefaultestimator;and2)thecontrollermoduleconsistingofnominalcontrollerandafault-tolera
7、ntcontroller.ThefaultinformationgeneratedbydiagnosisprocedurecanbeveryusefultoFTC,andaccuracyandspeedoffaultdiagnosisareveryimportantforactivefault-tolerantcontrol.Withdevelopmentofartificialneuralnetwork,ithasstrongsuperiorityinfaultdiagnosis,especiallyforthecasesthatc
8、annotbeexpressed饰formula,andincomplexnonlinearsituationwithstrongaccommodation.Invariousneuralnetworks,theBP(b