简介:[1]CaoYY,LamsJ.RobustH∞ControlofUncertainMarkovianJumpSystemswithTime-Delay.IEEETrans.Automat.Contr.,2000,45(1):77~83.[2]DoyleJC,Glover,KhargonekarPP,etal.State-SpaceSolutionstoStandardH2andH∞ControlProblems.IEEETrans.Automat.Contr.,1989,34(8):831~847.[3]FridmanE,ShakedU.H∞-normandInvariantManifoldsofSystemswithStateDelays.Sys.&Contr.Lett.,1999,36(2):157~165.[4]GeJ,FrankPM,LinCF.RobustH∞StateFeedbackControlforLinearSystemswithStateDelayandParameterUncertainty.Automatica,1996,32(6):1183~1185.[5]HirataM,LiuKZ,SatoT,etal.ASolvabilityConditionofanExtendedH∞ControlProblemUsingRiccatiInequalities.Int.J.Contr.,2000,73(4):265~275.[6]HmamedA.FurtherResultsontheRobustStabilityofUncertainTime-DelaySystems.Int.J.Syst.Sci.,1991,22(3):605~619.[7]IwasakiT,Skelton,E.AllControllersfortheGeneralH∞ControlProblem:LMIExistingConditionsandState-SpaceFormulas.Automatica,1994,42(7):1307~1317.[8]LeeB,LeeJG.RobustStabilizationofLinearDelayedSystemswithStructuredUncertainty.Automatica,1999,35(6):1149~1154.[9]LeeKH,MoonYS,KwonWH.RobustStabilityAnalysisofParametricUncertainTime-DelaySystems.InProceedingofIEEEConferenceonDecisionandControl,Tampa,FL,1998:1346~1352.[10]LehmanB,KhalilS.DelayIndependentStabilityConditionsandDecayEstimatesforTime-VaryingFunctional.IEEETrans.Automat.Contr.,1994,39(8):1673~1676.[11]MahmoudMS,Al-MuthairiNF.DesignofRobustControllersforTime-DelaySystems.IEEETrans.Automat.Contr.,1994,39(2):159~161.[12]MoriETN,KuwaharaM.AwaytoStabilizeLinearSystemswithDelayedState.Automatica,1983,19(5):571~573.[13]NiculescuSI,andAnnasuamyAM.ASimpleAdaptiveControllerforPositive-RealSystemswithTime-Delay.ProceedingoftheAmericanControlConference,Chicago,Illi
简介:Thispaperpresentsanewmethodforrobustandaccurateopticalflowestimation.Thesig-nificanceofthisworkistwofold.Firstly,theideaofbi-directionalschemeisadoptedtoreducethemodelerrorofopticalflowequation,whichallowsthesecondorderTaylor'sexpansionofopticalflowequationforaccuratesolutionwithoutmuchextracomputationalburden;Secondly,thispaperestablishsanewopticalflowequationbasedonLSCM(LocalStructureConstancyModel)insteadofBCM(BrightnessConstancyModel),namelytheopticalflowequationdoesnotactonscalarbutontensor-valued(ma-trix-valued)field,duetothetworeason:(1)structuretensor-valuecontainslocalspatialstructureinformation,whichprovidesusmoreuseablecuesforcomputationthanscalar;(2)localimagestructureislesssensitivetoilluminationvariationthanintensity,whichweakensthedisturbanceofnon-uniformilluminationinrealsequences.Qualitativeandquantitativeresultsforsyntheticandreal-worldscenesshowthatthenewmethodcanproduceanaccurateandrobustresults.
简介:这篇论文与polytopic无常处理柔韧的稳定性的问题和一个分离时间的系统的柔韧的稳定。一个新、简单的方法被介绍给直接decoupleLyapunov矩阵和系统动态矩阵。把这个方法与参数依赖者Lyapunov功能途径相结合产出作为特殊情况包括一些存在的新标准。一个数字例子超过存在的说明改进。关键词柔韧的稳定性-柔韧的稳定-参数依赖者Lyapunov功能-线性矩阵不平等这个工作被中国(号码20050533015)和中国的国家科学基金的医生题目基础部分地支持(号码60425310,60574014)。张先明在1968出生了。他从中央南方大学在应用数学收到了硕士学位,在1991的中国,并且他在中央南方大学在控制理论和工程收到了博士度,在2006的中国。从2005年4月到2006年4月,他是在中央Queensland大学的一个访问学者,澳大利亚。现在,他是中央南方大学的一个副教授。他的当前的研究兴趣是时间延期系统,柔韧的控制和它的应用程序。吴敏在1963出生了。他从中央南方大学在工程收到了学士和硕士学位,长沙,在1983和1986的中国分别地。他从东京工学院在工程收到了一个博士学位,东京,在1999的日本。现在,他是中央南方大学的一个教授。他收到了在1999设计IFAC的实践论文奖金的控制(联合与M。Nakano和J.H。她)。他的当前的研究兴趣是过程控制,柔韧的控制,和聪明的系统。Jinhua她在1963出生了。他从中央南方大学在工程收到了学士,长沙,中国在1983,并且在1990的一个硕士和在从东京工学院的工程的在1993的一个博士,东京,日本。在1993,他加入了Mechatronics的部门,工程的学校,东京工业大学;并且在2004年4月,他转了到Bionics的大学鈥檚学院,在他当前是一个副教授的地方。他收到了在1999设计IFAC的实践论文奖金的控制(�
简介:Adigitalwatermarkingtechniqueisamulti-scientificdisciplinewhichisdevelopedrapidlyinlastseveralyearsfordigitalcontentprotection,suchascopyrightprotection,authenticationprotection,sourcetracing,etc.However,inrealisticscenarios,thedigitalwatermarkingsystemfacessignificantsecureissues,forexample,theattackerswanttoremove,detect,orembedillegalwatermarksignals.Therefore,theaimofthiscontributionistoillustraterecentresultsofrobustandsecurewatermarkingtothesignalprocessingcommunity,andhighlightbothbenefitsandstillopenissues.Specifically,thispaperisintendedtointroducetheconceptofsecureandrobustdigitalwatermarkingsystem,andprovidewithproblemsandtheircountermeasures.Firstofall,theclassicwatermarkmodelandcryptosystemwillbereviewedandthen,theconceptofsecureandrobustdigitalwatermarkingsystemwillbedescribed.Next,thewatermarkattackwillbeclassifiedanddescribed.Finally,somecountermeasuresthatcanhelptoimprovesecureandrobustnessareconsidered.IndexTermsCountermeasures,digitalwatermarkingsystem,robust,security,watermarkattacks.
简介:Theautomaticdetectionoffacesisaveryimportantproblem.Theeffectivenessofbiometricauthenticationbasedonfacemainlydependsonthemethodusedtolocatethefaceintheimage.Thispaperpresentsahybridsystemforfacesdetectioninunconstrainedcasesinwhichtheillumination,pose,occlusion,andsizeofthefaceareuncontrolled.Todothis,thenewmethodofdetectionproposedinthispaperisbasedprimarilyonatechniqueofautomaticlearningbyusingthedecisionofthreeneuralnetworks,atechniqueofenergycompactionbyusingthediscretecosinetransform,andatechniqueofsegmentationbythecolorofhumanskin.Awholeofpictures(facesandnofaces)aretransformedtovectorsofdatawhichwillbeusedforlearningtheneuralnetworkstoseparatebetweenthetwoclasses.Discretecosinetransformisusedtoreducethedimensionofthevectors,toeliminatetheredundanciesofinformation,andtostoreonlytheusefulinformationinaminimumnumberofcoefficientswhilethesegmentationisusedtoreducethespaceofresearchintheimage.Theexperimentalresultshaveshownthatthishybridizationofmethodswillgiveaverysignificantimprovementoftherateoftherecognition,qualityofdetection,andthetimeofexecution.
简介:Arobustdigitalreceiverbasedonamatchedfilter(MF)isproposedfortheradiofrequencyidentification(RFID)readersystemtoenhancethereliabilityofsignalprocessingintheelectronicproductcode(EPC)sensornetwork(ESN).Theperformanceoftheproposedreceiverisinvestigatedbyexaminingtheanti-collisionalgorithmintheEPCglobalClasslGeneration2protocol.Thevalidityandusefulnessaredemonstratedbybothcomputersimulationsandexperiments.Basedontheverificationresults,comparingwiththeconventionalzerocrossingdetector(ZCD)basedreceiver,theproposedreceiverisveryrobustagainststrongamplitudedistortionsandconsiderablefrequencydeviationshappeningonthebackscatteredsignalfromapassivetag.
简介:Theaccuracyoffacealignmentaffectsgreatlytheperformanceofafacerecognitionsystem.Sincethefacealignmentisusuallyconductedusingeyepositions,thealgorithmforaccurateeyelo-calizationisessentialfortheaccuratefacerecognition.Inthispaper,analgorithmisproposedforeyelocalization.First,theproperAdaBoostdetectionisadaptivelytrainedtosegmenttheregionbasedonthespecialgraydistributionintheregion.Afterthat,afastradialsymmetryoperatorisusedtopre-ciselylocatethecenterofeyes.Experimentalresultsshowthatthemethodcanaccuratelylocatetheeyes,anditisrobusttothevariationsoffaceposes,illuminations,expressions,andaccessories.
简介:TherobustH∞controlfornetworkedcontrolsystemswithbothstochasticnetwork-induceddelayanddatapacketdropoutisstudied.Whendataaretransmittedovernetwork,thestochasticdatapacketdropoutprocesscanbedescribedbyatwo-stateMarkovchain.Thenetworkedcontrolsystemswithstochasticnetwork-induceddelayanddatapacketdropoutaremodeledasadiscretetimeMarkovjumplinearsystemwithtwooperationmodes.ThesuffcientconditionofrobustH∞controlfornetworkedcontrolsystemsstabilizedbystatefeedbackcontrollerispresentedintermsoflinearmatrixinequality.Thestatefeedbackcontrollercanbeconstructedviathesolutionofasetoflinearmatrixinequalities.Anexampleisgiventoverifytheeffectivenessofthemethodproposed.
简介:WiththeincorporationoftotalLagrangiansmoothedparticlehydrodynamics(SPH)methodequationandmovingleastsquare(MLS)function,thetraditionalSPHmethodisimprovedregardingthestabilityandconsistency.BasedonMindlin-Ressinerplatetheory,theSPHmethodsimulatingdynamicbehaviorviaonelayerofparticlesisappliedtoplate'smid-plane,i.e.,aSPHshellmodelisconstructed.Finally,throughcomparativeanalysesonthedynamicresponseofsquare,stiffenedshellsandcylindricalshellsundervariousstrongimpactloadswithcommonfiniteelementsoftware,thefeasibility,validityandnumericalaccuracyoftheSPHshellmethodareverified.Consequently,furtherresearchesonSPHshellmaywellpavethewaytowardssolvingproblemsinvolvingdynamicplasticdamage,tearingorevencrushing.
简介:Theproblemofrecognizingnaturalscenes,suchaswater,smoke,fire,wind-blownvegetationandaflockofflyingbirds,isconsidered.Thesescenesexhibitthecharacteristicdynamicpattern,buthavestochasticextent.Theyarereferredtoasdynamictexture(DT).Inreality,thediversityofDTsondifferentviewpointsandscalesareverycommon,whichalsobringgreatdifficultytorecognizeDTs.Inthepreviousstudies,duetonoconsideringofthedeformableandtransientnatureofelementsinDT,themotionestimationmethodisbasedonbrightnessconstancyassumption,whichseeminappropriateforaggregateandcomplexmotions.Anovelmotionmodelbasedonrelativemotionintheneighborhoodoftwo-dimensionalmotionfieldsisproposed.Theestimationofnon-rigidmotionofDTsisbasedonthecontinuityequation,andthenthelocalvectordifference(LVD)isproposedtocharacterizeDTlocalrelativemotion.SpatiotemporalstatisticsoftheLVDsisusedastherepresentationofDTsequences.ExcellentperformancesofclassifyingallDTsinUCLAdatabasedemonstratethecapabilityoftheproposedmethodindescribingDT.