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1、732IEEETRANSACTIONSONSYSTEMS,MAN,ANDCYBERNETICSPARTA:SYSTEMSANDHUMANS,VOL.37,NO.5,SEPTEMBER2007DistributedModelPredictiveControl:SynchronousandAsynchronousComputationEduardoCamponogara,Member,IEEE,andSaroshN.Talukdar,Fellow,IEEEAbstractModelpredictivecontrol(MPC)hasbecomeoneofproblem(DP)ofop
2、eratingasystem,1theMPCalgorithmcantheleadingtechnologiestocontrolcomplexprocesses,toagreatbedividedinthreesteps.extent,asaresultofitsflexibilityandexplicithandlingofcon-1)UseadiscretizationtechniquetoconvertDPintoaseriesstraints.Givenadynamicproblem(DP),MPCconvertsDPintoaseriesofstaticoptimiz
3、ationproblems,therebyallowingtheuseofofstaticproblems{SPk}.standardoptimizationtechniquestocomputethecontrolsignals.2)SolveeachproblemSPkinturntoobtainasolutionXk.TherelianceofMPConcentralizedcomputations,however,stands3)CombinethesolutionsXkstothestaticproblemstoasabarriertoitsuseinthereal-
4、timeoperationoflargedynamicobtainasolutiontoDP.networks.Tothisend,thispaperproposesanextensiontoMPCbydecomposingDPintoanetworkofsmallbutcoupledsubproblemsOfprincipalimportanceistheeliminationofthetimevari-andsolvingthemwithanetworkofasynchronousagents.Thenetableinstep1):Typically,predictions
5、forthevariablesareresult,aftereachagentappliesMPCtoitsdynamicsubproblem,introducedoveratimehorizonand,accordingly,thesystemsisaseriesofsetsofstaticsubproblems.Ourfocusisonthesi-modelisapproximatedwithdifferenceequations.Then,stan-multaneoussolutionofthesesetsofstaticsubproblems.Thepaperdardo
6、ptimizationtechniquescanbeusedinstep2)tosolvethedeliversaframeworktocarryoutthedecompositionanddevelopsconditionsunderwhichtheiterativesynchronousprocessesofthestaticproblemsinplaceofanotherwiseintractableproblem.agentsconvergetosolutions.Furthermore,itproposesheuristicsInstep3),thecommonpra
7、cticeimplementsthecontrolinputsforasynchronousconvergenceandreportsexperimentalresultsgivenbyXkfromthebeginningofthetimehorizonofSPkfromprototypicaldynamicnetworks,demonstratingtheeffective-untilthatofSPk+1,atwhichinstantXk+1isimplemented.nessofthe