简介：TherobustH∞controlfornetworkedcontrolsystemswithbothstochasticnetwork-induceddelayanddatapacketdropoutisstudied.Whendataaretransmittedovernetwork,thestochasticdatapacketdropoutprocesscanbedescribedbyatwo-stateMarkovchain.Thenetworkedcontrolsystemswithstochasticnetwork-induceddelayanddatapacketdropoutaremodeledasadiscretetimeMarkovjumplinearsystemwithtwooperationmodes.ThesuffcientconditionofrobustH∞controlfornetworkedcontrolsystemsstabilizedbystatefeedbackcontrollerispresentedintermsoflinearmatrixinequality.Thestatefeedbackcontrollercanbeconstructedviathesolutionofasetoflinearmatrixinequalities.Anexampleisgiventoverifytheeffectivenessofthemethodproposed.

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简介：Akindofnetworkedcontrolsystemisstudied;thenetworkedcontrolsystemwithnoisedisturbanceismodeledbasedoninformationschedulingandcontrolco-design.Augmentedstatematrixanalysismethodisintroduced,androbustfault-tolerantcontrolproblemofnetworkedcontrolsystemswithnoisedisturbanceunderactuatorfailuresisstudied.Theparametricexpressionofthecontrollerunderactuatorfailuresisgiven.Furthermore,theresultisanalyzedbysimulationtests,whichnotonlysatisfiesthenetworkedcontrolsystemsstability,butalsodecreasesthedatainformationnumberinnetworkchannelandmakesfulluseofthenetworkresources.

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简介：Theimpactanglecontroloverguidance(IACG)lawagainststationarytargetsisproposedbyusingfeedbacklinearizationcontrol(FLC)andfinitetimecontrol(FTC).First,thispapertransformsthekinematicsequationofguidancesystemsintothefeedbackablelinearizationmodel,inwhichtheguidancelawisobtainedwithoutconsideringtheimpactangleviaFLC.Forthepurposeofthelineofsight(LOS)angleanditsrateconvergingtothedesiredvalues,thesecond-orderLOSangleisconsideredasadouble-integralsystem.Then,thispaperutilizesFTCtodesignacontrollerwhichcanguaranteethestatesofthedouble-integralsystemconvergingtothedesiredvalues.NumericalsimulationillustratestheperformanceoftheIACG,incontrasttotheexistingguidancelaw.

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简介：ThisletteranalyzesthereasonswhytheknownNeuralBackPromulgation(NBP)networklearningalgorithmhasslowerspeedandgreatersampleerror.Basedontheanalysisandexperiment,thetraininggroupdescendingEnhancedCombinationAlgorithm(ECA)isproposed.TheanalysisofthegeneralizedpropertyandsampleerrorshowsthattheECAcanheightenthestudyspeedandreduceindividualerror.

简介：Oneofthemaindriversforintelligenttransportationsystemsissafety.Adaptivecruisecontrol,asacommonsolutionfortrafficsafety,hasextendedfromradarstocameras.Duetohighmobilityofvehiclesandunevennessofroads,thepicturequalityofcamerashasbeengreatchallengesforcamera-basedadaptivecruisecontrol.Inthispaper,animagedistortioncorrectionalgorithmisaddressed.Ourmethodisbasedonopticalflowtechnologywhichisnormallyappliedinmotionestimationandvideocompressionresearch.Wearethefirsttoattempttoadaptitinimagedistortioncorrection.Twoopticalflowapproaches,theLucas-KanademethodandtheHorn-Schunckmethod,areselectedandcompared.Theprocedureofimagedistortioncorrectionusingtheopticalflowmethodhasbeentestedbybothsynthetictestimagesandcameraimages.TheexperimentalresultsshowthattheLucas-Kanademethodismoresuitableinthecorrectionofimagedistortion.

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简介：Inordertoformanemergencycontrolpolicytablequickly,thispaperproposesafastalgorithmofemergencycontrolnamed'micro-stepdiscretemethod',whichisbasedonthephysicalmeaningofthegradientandthediscretecharacteristicsofemergencycontrol.Thenitisimprovedthroughthestabilitycriterion,integralstep,andmicro-stepfactor.Thispapertakesgenerator-sheddingastheemergencycontrolmeasures.Astheoptimalgenerator-sheddingcontrolisessentiallyanoptimalcontrolproblemandthegenerator-sheddingvariablesarealwaysconstant,itisconvenienttousethecontrolparameteralgorithmtosolvetheproblem,whichcancalculatethegradientofthetransientstabilityfunctiontocontrolvariables.

简介：存取控制计划被建议让系统宽信息管理(游泳)在实际应用程序处理属性撤回的问题。把基于的加密(ABE)基于属性，这个计划介绍代理重新加密机制和关键加密钥匙(KEK)树与属性撤回认识到有细密纹理的存取控制。这份报纸根据民用的航空的现状定义属性。与以前建议的一些另外的计划相比，这个计划不仅弄短密文(CT)和私人钥匙的长度而且改进加密和解密的效率。计划能抵抗串通攻击并且在游泳保证数据的安全。

简介：AdmissioncontrolplaysanimportantroleinprovidingQoStonetworkusers.Motivatedbythemeasurement-basedadmissioncontrolalgorithm,thisletterproposedanewadmissioncontrolapproachforintegratedservicepacketnetworkbasedontrafficprediction.Intheletter,FARIMA(p,d,q)modelsintheadmissioncontrolalgorithmisdeployed.AmethodtosimplifytheFARIMAmodelfittingprocedureandhencetoreducethetimeoftrafficmodelingandpredictionissuggested.Thefeasibility-studyexperimentsshowthatFARIMAmodelswhichhavelessnumberofparameterscanbeusedtomodelandpredictactualtrafficonquitealargetimescale.Simulationresultsvalidatethepromisingapproach.

简介：SurvivabilityisoneoftheimportantissuesinATM-basednetworkssineevenasinglenetworkelementfailuremaycauseaseriousdataloss.Thispaperintroducesanewrestorationmechanismbasedonmulti-layerATMsurvivablenetworkmanagementarchitecture.ThismechanismintegratesthegeneralcontrolandrestorationcontrolbyestablishingtheWorkingVPslogicalnetwork,BackupVPslogicalnetworkandsparelogicalnetworkinordertooptimallyutilizethenetworkresourceswhilemaintainingtherestorationrequirements.

简介：Aclassoflarge-sealesystems,wheretheoverallobjectivefunctionisanonlinearfunctionofperformanceindexofeachsubsystem,isinvestigatedinthispaper.Thistypeoflarge-scalecontrolproblemisnon-separableinthesenseofconventionalhierarchicalcontrol.Hierarchicalcontrolisextendedinthepapertolarge-scalenon-separablecontrolproblems,wheremultiobjectiveoptimizationisusedasseparationstrategy.Thelarge-scalenon-separablecontrolproblemisembedded,under;ertainconditions,intoafamilyoftheweightedLagrangianformulation.TheweightedLagrangianformulationisseparablewithrespecttosubsystemsandcanbeeffectivelysolvedusingtheinteractionbalanceapproachatthetwolowerlevelsintheproposedthree-levelsolutionstructure.Atthethirdlevel,theweightingvectorfortheweightedLagrangianformulationisadjustediterativelytosearchtheoptimalweightingvectorwithwhichtheoptimaloftheoriginallarge-scalenon-separablecontrolproblemisobtained.Theoreticalbaseofthealgorithmisestablished.Simulationshowsthatthealgorithmiseffective.

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简介：Anewmethodforanalyzingdynamicsofcontinuousneuralnetworksisproposed,andthenecessaryconvergenceconditionsforaclassofassociativenetworksareobtained.Basedonthestabilitycriterionandtheequationsofequilibriumsetofthenetwork,synthesisofaclassofassociativeneuralnetworksisgiven.Thestabilitycontrolmodelofasymmetricunstablenetworksissuggested,whichisalsoavalidwayforoptimizationanddynamiccontrolofstableneuralnetworks.

简介：DespiteextensiveresearchonR-trees,mostoftheproposedschemeshavenotbeenintegratedintoexistingDBMSowingtothelackofprotocolsofconcurrencycontrol.R-linktreeisanacceptabledatastructuretodealwiththisissue,butproblemslikephantomstillexist.Inthispaper,wefocusonaconflictdetectionschemebasedonR-linktreeforcompleteconcurrencycontrol.Anin-memoryoperationcontrollistisdesignedtosuspendconflictingoperations.Themainfeaturesofthisapproachare(1)itcanbeimplementedeasilyanddoesnotneedanyextrainformation;(2)Nodeadlocksareinvolvedinlockingscheme;(3)Non-conflictingoperationsarenotrestricted;and(4)PhantomproblemsinR-linktreeareavoidedthroughbeforehandpredication.Theexperimentresultsshowthatthisschemeiscorrectandgainsbettersystemperformance.

简介：Amethodforfabricationofultravioletinducetransmission(IT)filterbyvisiblelightcontrolinanordinaryvacuumispresented.Manufacturingprinciplesandtechniquesaredisscussed.MeasuredspectraltransmittancecurvesofmakingultravioletITfilterbythismethodaregiven.

简介：ThesecondaryusageofspectrumhasbeeninvestigatedinCognitiveRadio(CR)networktoresolvingthespectrumscarcityissueinwirelesscommunication.WhenPrimaryUsers(PU)whoownthespectrumappear,spectrumhandoffisneededtomaintainthecommunicationsofSecondaryUsers.ButthedecisionmakingofspectrumhandoffisachallengeissueforCRnetwork,becausetheinputofdecisionmaking,whichobtainthroughspectrumsensing,isheterogeneousandinexact.Inthispaperwewillusefuzzylogiccontroltheorytosolvethisissueandmakeuseofnewinformationforhandoffoperation:theprobabilityofPU'soccupancyatacertainchannel.Ournewalgorithmcanmakemoreintelligentdecisioncomparedtosimpletraditionalspectrumhandoffdecisionmakingandreducetheprobabilityofspectrumhandoff,alsotheperformanceofSU'scommunicationcanbeenhanced.

简介：Amajordifficultyinmultivariablecontroldesignisthecross-couplingbetweeninputsandoutputswhichobscurestheeffectsofaspecificcontrollerontheoverallbehaviorofthesystem.Thispaperconsiderstheapplicationofkernelmethodindecouplingmultivariableoutputfeedbackcontrollers.Simulationresultsarepresentedtoshowthefeasibilityftheproposedtechnique.