简介:TherobustH∞controlfornetworkedcontrolsystemswithbothstochasticnetwork-induceddelayanddatapacketdropoutisstudied.Whendataaretransmittedovernetwork,thestochasticdatapacketdropoutprocesscanbedescribedbyatwo-stateMarkovchain.Thenetworkedcontrolsystemswithstochasticnetwork-induceddelayanddatapacketdropoutaremodeledasadiscretetimeMarkovjumplinearsystemwithtwooperationmodes.ThesuffcientconditionofrobustH∞controlfornetworkedcontrolsystemsstabilizedbystatefeedbackcontrollerispresentedintermsoflinearmatrixinequality.Thestatefeedbackcontrollercanbeconstructedviathesolutionofasetoflinearmatrixinequalities.Anexampleisgiventoverifytheeffectivenessofthemethodproposed.
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.
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.
简介:Inordertoformanemergencycontrolpolicytablequickly,thispaperproposesafastalgorithmofemergencycontrolnamed'micro-stepdiscretemethod',whichisbasedonthephysicalmeaningofthegradientandthediscretecharacteristicsofemergencycontrol.Thenitisimprovedthroughthestabilitycriterion,integralstep,andmicro-stepfactor.Thispapertakesgenerator-sheddingastheemergencycontrolmeasures.Astheoptimalgenerator-sheddingcontrolisessentiallyanoptimalcontrolproblemandthegenerator-sheddingvariablesarealwaysconstant,itisconvenienttousethecontrolparameteralgorithmtosolvetheproblem,whichcancalculatethegradientofthetransientstabilityfunctiontocontrolvariables.
简介:AdmissioncontrolplaysanimportantroleinprovidingQoStonetworkusers.Motivatedbythemeasurement-basedadmissioncontrolalgorithm,thisletterproposedanewadmissioncontrolapproachforintegratedservicepacketnetworkbasedontrafficprediction.Intheletter,FARIMA(p,d,q)modelsintheadmissioncontrolalgorithmisdeployed.AmethodtosimplifytheFARIMAmodelfittingprocedureandhencetoreducethetimeoftrafficmodelingandpredictionissuggested.Thefeasibility-studyexperimentsshowthatFARIMAmodelswhichhavelessnumberofparameterscanbeusedtomodelandpredictactualtrafficonquitealargetimescale.Simulationresultsvalidatethepromisingapproach.
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.
简介:Anewmethodforanalyzingdynamicsofcontinuousneuralnetworksisproposed,andthenecessaryconvergenceconditionsforaclassofassociativenetworksareobtained.Basedonthestabilitycriterionandtheequationsofequilibriumsetofthenetwork,synthesisofaclassofassociativeneuralnetworksisgiven.Thestabilitycontrolmodelofasymmetricunstablenetworksissuggested,whichisalsoavalidwayforoptimizationanddynamiccontrolofstableneuralnetworks.
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.
简介:Thisarticleisconcernedwiththemodelingandcontrolproblemsoftheflexiblespacecraft.First,thestateobserverisdesignedtoestimatethevibrationmodeonthebasisoffreevibrationmodels.Then,anoptimalguaranteedcostcontrollerisproposedtostabilizesystemattitudeanddampthevibrationoftheflexiblebeamatthesametime.Numericalsimulationexamplesshowthefeasibilityandvalidityoftheproposedmethod.
简介:Theforcesensingresistor(FSR)anditsconstructionandcharacteristicaredescribed.Byusingtheoptimalelectronicinterface,theendresultwhichisadirectproportionalitybetweenforceandvoltageisobtained.Thecircuitsofapplicationforforceandpositionmeasurementsintheroboticcontrolaregiven.TheexperimentthatFSRsareplacedonthefingersofBH-1dexteroushandastactilesensorstomeasurethecontactingforcesshowsFSR'sforcesensitivityisoptimizedforuseinthecontrolofrobotcontactingwithenvironment.
简介:Anoptimalpreviewmethodisappliedtothedesignofterrainfollowingcontrollerforcruisemissile.Inthismethod,trackingerrorsandcontrolincrementsarebothconsideredinthequadraticcostfunction.Integratingthegeneraloptimalservosystemwithapreviewfeedforwardcompensationthatfeedsforwardfuturecommandandfuturedisturbanceproducesanoptimalpreviewservosystem.Intheterrainfollowingsystem,theflightaltitudeofthecruisemissileisacommandsignal,anditsfutureinformationcanbeknownapriori.Hence,wehavedesignedaterrainfollowingcontrollerwithabasicstatefeedbackandafeedforwardcompensationforfuturealtitudeinformation.Simulationresultsshowthattheperformanceoftheterrainfollowingsystemwithsuchanoptimalpreviewcontrollerhasbeenimproveddramatically.