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1、AppliedMathematicsandComputation205(2008)658–667ContentslistsavailableatScienceDirectAppliedMathematicsandComputationjournalhomepage:www.elsevier.com/locate/amcAfastmodelidentificationmethodfornetworkedcontrolsystema,*abMinruiFei,DajunDu,KangLiaSchoolofMechatronicalEngineeringandAutoma
2、tion,ShanghaiUniversity,Shanghai200072,ChinabSchoolofElectronics,ElectricalEngineeringandComputerScience,Queen’sUniversityofBelfast,BelfastBT95AH,UnitedKingdomarticleinfoabstractKeywords:Mostcontrolstrategiesfornetworkedcontrolsystem(NCS)assumethatsystemmodelisNetworkedcontrolsystemkn
3、ownas‘apriori’,whicharehoweverimpracticalinmanyindustrialapplications.ToNetwork-induceddelayobtainasuitablemodelfornetworkedcontrol,thispaperconcentratesonmodelidentifi-Fastrecursivealgorithmcationunderthenetworkedcontrolenvironment.AnetworkedidentificationschemeisCubicsplineproposedher
4、e,andnondeterministicfactorssuchasnetwork-induceddelay,datapacketout-of-order,anddatapacketlossbetweenthesensorandidentifieraswellastheidenti-fierandtheactuatorareconsidered.Adiscard-packetstrategyisfirstdevelopedtodealwithnetworknondeterministicfactorsfromthesensortotheidentifier,andacub
5、icsplineinterpolationisusedtocompensatelostdata.Actuatorbuffersarethenintroducedforactuatornodestohandlenetworknondeterministicfactorsbetweentheidentifierandtheactuator.Finally,afastrecursivealgorithmisusedbothtoselectthemodelstructureandtoestimatetheunknownsystemparameters.Experiments
6、onARMAmodelidentifica-tionandNARMAXmodelidentificationareperformedrespectivelyunderdifferentnetworkloads.Simulationresultsshowthattheproposednetworkedidentificationschemecaneffectivelyovercometheimpactofvariousnetwork-inducednondeterministicfactorsandsignificantlyimprovemodelidentification
7、performance.Ó2008ElsevierInc.Allrightsreserved.1.IntroductionThenetworkedcontrolsystem(NCS)hasbeenintensivelystudiedinrecentyears,andanumberofresultshavebeenreportedintheliteratures[1–4].AlthoughvariousmethodshavebeenproposedforNCS,theyassumethatthemodelandmodelparametersareknownas‘ap
8、riori
