2023年全國碩士研究生考試考研英語一試題真題（含答案詳解+作文范文）_第1頁
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1、原文：原文：PerfmanceManagementofIntegratedManufacturingSystemwksSukLeeAsokRayKeumshikHongJoongsunYoonMyungChuHan1.StructureofthePerfmanceManagementProcedurewkperfmancemespecificallydelaysexperiencedbymessagepacketscouldbecrit

2、icalfdynamicperfmancestabilityofrealtimemanufacturingprocesses.Thisisespeciallytruewhenmultiplemachinesareperfmingataskwithoutdirectconnectionsamongthem.Oneoftheexamplesisanintelligentweldingsystem(NayakRayVavreck1987)wh

3、ereapositioningtablearobothavetocommunicatethroughawktoexchangethedesiredtablepositioncodinatesvariousmessagesfstatusrept.Anotherexampleismanipulationofabulkyflexiblewkpiecebymethanoneindependentrobotswhichinitiatetheiro

4、wnprescribedtrajectiesuponreceivingasignalfromacontrollerreptthecompletionofthetrajectiesbacktothecontrollerviaawk.Thetimelinessofthetransmitteddataisessentialbecauseadelaycoulddamagethewkpiecetherobotswristsarms.Inderto

5、maintainanacceptablelevelofthedynamicperfmancestabilityofvariousmanufa.cturingprocessesperfmancemanagementisrequiredtomanipulateadjustableprotocolparametersinrealtimesothatthewkcanadaptitselftothedynamicenvironment.Thisc

6、anbeaccomplishedintwosteps:(I)perfmanceevaluationtofindhowperturbationsinprotocolparametersaffectaedperfmancemeasurei.e.todeterminetherelationshipbetweentheperfmancemeasuretheprotocolparameters(2)decisionmakingtodecideon

7、howtoadjustprotocolparametersi.e.toidentifythedirectionmagnitudeoftheparameteradjustmentvectutilizingpiecesofinfmationprovidedinthefirststepthearetobeevaluatedtheconventionaldiscreteeventsimulationneedsnIruns(onewiththen

8、ominalparametersnrunseachwithoneperturbedparametertheremainingnominalvalues).OntheotherPAneedsonlyonerunbecauseitcalculatestheperfmancemeasureoftheperturbedsystembasedontheinherentinfmationfromthesimulationwiththenominal

9、parameter.TherefetheratioofcomputationtimecanbeapproximatelyItonIiftheprocessingtimefPAalgithmsisnegligiblecomparedtothatfdiscreteeventsimulation.FperfmancemanagementPAisverysuitablebecausethistechniquecandirectlyutilize

10、onlineobservationofevents.Thisdoesnotrequireanyidentificationofstatisticalparametersofthewktrafficiscomputationallymeefficientthandiscreteeventsimulation.FurthermePAstillretainstheinherentadvantagesofsimulationoveranalyt

11、icaltechniquesDecisionmakingrequiresparameteroptimizationcanbeaccomplishednumericallybyStochasticApproximation(SA)whichutilizesrommeasurementsoverafiniteperiodoftimetoestimatethefinitedifferencequotientoftheperfmancemeas

12、urewithrespecttodecisionvariables(Rubinstein1986).Sincethemeasurementfperfmancemeasureisaromvariablewithanunknowndistributiontheestimatedquotientshaveanonzerovarianceateverypoint.ConsequentlytheSAtechniquehastoreduceitss

13、tepsizeastheextremalpointisapproached.Inmanysituationshowevermethanoneoptimizationalgithmmayberequiredbecauseanyindividualalgithmislikelytobeefficientonlyinsomeregionoftheprotocolparametersettingsundergivenstatisticsofwk

14、traffic.Anadditionallevelofdecisionmakingisdesirabletothemostappropriateoptimizationalgithmaccdingtothecurrentparametersettingstrafficstatistics.Thisapproachislikelytoenhancetheefficiencycredibilityofperfmancemanagementi

15、nadynamicoperatingenvironmentwhoseacteristicsareunknownpartiallyknown.TechniqueslikeLearningAutomata(LA)canbeusedfdecisionmakingattheupperlevelfingthemostefficientcredibleoptimizationalgithmbasedonthepastperfmance(Narend

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