简介:Itisprovedthatthereisnochaoticgroupactionsonanytopologicalspacewithfreearc.InthispaperthechaoticactionsofthegrouplikeG×F,whereFisafinitegroup,arestudied.Inparticular,underasuitableassumption,ifFisacyclicgroup,thenthetopologicalspacewhichadmitsachaoticactionofZ×Fmustadmitachatotichomeomorphism.Atopologicalspacewhichadmitsachaoticgroupactionbutadmitsnochaotichorneomorphismisconstructed.
简介:Faultisacomplexdynamicsystemcontrolledbythecouplingofrocktexture,reaction,fluidflow,stress,androckdeformationmechanism.Acoupledreaction-transport-mechanicaldynamicmodelforfaultsystemisestablishedanddescribedinthispaper.AnexampleispresentedfortheShuikoushandeposit,Hunan.Theresultsofdynamicsimulationindicatethattheevolutionandmagnitudeoffracturepermeabilityofdifferentrocksaredifferent,andthatfaultingcanenhancethespatialheterogeneityofrockpermeabilityandfacilitatefluidflowandmineralizationinlocalfaultzone.Thepressureforafaultusuallyshowsavariationmodeofaperiodicoscillationwithtime,whichreflectsthechaoticbehavioroftheevolutionofafault.
简介:BasedonthetheoryofDuffingoscillatorweaksignaldetectionandthetechnologyofextendedbinaryphaseshiftkeying(EBPSK)modulation,thechaoticdemodulatorusingtheDuffingoscillatorforEBPSKsignalswasproposed.Theproposeddemodulatorcouldavoidtheproblemofdemodulationfiltersdesign,andshowstheexcellentanti-noisecapabilityofchaoticoscillatordetection.Numericalandexperimentaltestsweretakentoinvestigatetheimpactofmodulationparametersτandθonbiterrorperformanceoftheproposedmethod,andtheperformancelimitsweregotten.Theresultsshowthattheproposedchaoticdemodulatorworkswellunderaverylowsignal-to-noiseratio(SNR)conditions,andgetsSNRgainsabout20dBto30dBfromtheimpulsefilter.
简介:Thedynamicresponseofthenon-linearelasticsimplysupportedbeamsubjectedtoaxialforcesandtransverseperiodicloadisstudied.Melnikovmethodisusedtoconsiderthedynamicbehav-iorofthesystemwhosepost-bucklingpathissteady.Theeffectofthehigherordertermsinthecon-trollingequationistakenintoaccount.Itisfoundthatthefifth-ordertermshaveagreatinfluenceonthedynamicbehaviorofthesystem.Theresultshowsthatthereexisteitherhomoclinicorbitsorhete-roclinicorbitsinthesystem.Inthispaper,thecriticalvaluesofthesystementeringchaoticstatesaregiven.Thediagramofanexampleisshown.
简介:Basedoncurrentresearchonapplicationsofchaoticneuronnetworkforinformationprocessing,thestabilityandconvergenceofchaoticneuronnetworkareprovedfromtheviewpointofenergyfunction.Moreover,anewauto-associativematrixisdevisedforartificialneuralnetworkcomposedofchaoticneurons,thus,animprovedchaoticneuronnetworkforassociativememoryisbuiltup.Finally,theassociativerecallingprocessofthenetworkisanalyzedindetailandexplanationsofimprovementaregiven.
简介:AtypeofdigitalchaoticeneryptionsystemwasproposedinRef.[1]whichusesaclassof1-Dpiecewiselinear(PWL)maptorealizechaoticencryptionanddecryptionsystemthroughtheinversesystemapproach.Inthegeneralstructureofencryptionsystem,adynamicalsystem∑(·)isusedtoconnectthelinearcombinationofn-orderdelaywiththeinputterminal.Inthispaperweshowthatthiscryptosystemcannotfrustratechosen-ciphertextattack.Atypeofchaoticencryptionsystembasedonself-synchronizingstreamcipherisproposed.Thissystemcanavoidchosen-ciphertextattackandhashighersecurity.
简介:Toseekforlower-dimensionalchaoticsystemsthathavecomplextopologicalattractorstructurewithsimplealgebraicsystemstructure,anewchaoticsystemofthree-dimensionalautonomousordinarydifferentialequationsispresented.Thenewsystemhassimplealgebraicstructure,andcandisplaya2-scrollattractorwithcomplextopologicalstructure,whichisdifferentfromtheLorenz's,Chen'sandLu¨'sattractors.Byintroducingalinearstatefeedbackcontroller,thesystemcanbecontrolledtogenerateahyperchaoticattractor.Thenovelchaoticattractor,hyperchaoticattractoranddynamicalbehaviorsofcorrespondingsystemsarefurtherinvestigatedbyemployingLyapunovexponentspectrum,bifurcationdiagram,Poincar′emappingandphaseportrait,etc.,andthenverifiedbysimulatinganexperimentalcircuit.
简介:Thechaotictransientsofacurvedfluidconveyingtubesubjectedtoanonlinearfoundationareinvestigated.TheassumptionoftheinextensibilityofthetubeisappliedtoderivethenonlineardifferentialequationofmotionviatheNewtonianapproach,withthedifferentialquadraturemethodusedtodiscretizethecurvedtubemodelinthespatialdomain.Andthenonlineardynamicmotionequationisobtained.Thenumericalanalysisshowsthat,thefinalsteadystatesaresensitivetotheinitialsystemconditionsinalargeparameterregionofthefluidspeed.Thisphenomenonofchaotictransientsisinfrequentforfluidconveyingtubes.
简介:AccordingtoLorenz,chaoticdynamicsystemshavesensitivedependenceoninitialconditions(SDIC),i.e.,thebutterfly-effect:atinydifferenceoninitialconditionsmightleadtohugedifferenceofcomputer-generatedsimulationsafteralongtime.Thus,computer-generatedchaoticresultsgivenbytraditionalalgorithmsindoubleprecisionareakindofmixtureof'true'(convergent)solutionandnumericalnoisesatthesamelevel.Today,thisdefectcanbeovercomebymeansofthe'cleannumericalsimulation'(CNS)withnegligiblenumericalnoisesinalongenoughintervaloftime.TheCNSisbasedontheTaylorseriesmethodathighenoughorderanddatainthemultipleprecisionwithlargeenoughnumberofdigits,plusaconvergencecheckusinganadditionalsimulationwithevensmallernumericalnoises.Intheory,convergent(reliable)chaoticsolutionscanbeobtainedinanarbitrarylong(butfinite)intervaloftimebymeansoftheCNS.TheCNScanreducenumericalnoisestosuchalevelevenmuchsmallerthanmicro-leveluncertaintyofphysicalquantitiesthatpropagationofthesephysicalmicro-leveluncertaintiescanbepreciselyinvestigated.Inthispaper,webrieflyintroducethebasicideasoftheCNS,anditsapplicationsinlong-termreliablesimulationsofLorenzequation,three-bodyproblemandRayleigh-Bénardturbulentflows.UsingtheCNS,itisfoundthatachaoticthree-bodysystemwithsymmetrymightdisruptwithoutanyexternaldisturbance,say,itssymmetry-breakingandsystem-disruptionare'self-excited',i.e.,out-of-nothing.Inaddition,bymeansoftheCNS,wecanprovidearigoroustheoreticalevidencethatthemicro-levelthermalfluctuationistheoriginofmacroscopicrandomnessofturbulentflows.Naturally,muchmoreprecisethantraditionalalgorithmsindoubleprecision,theCNScanprovideusanewwaytomoreaccuratelyinvestigatechaoticdynamicsystems.
简介:AlineararrayofNmutuallycoupledsingle-modelasersisinvestigated.ItisshownthattheintensitiesofNlasersarechaoticallysynchronizedwhenthecouplingbetweenlasersisrelativelystrong.Thechaoticsynchronizationofintensitiesdependsonthelocationofthelasersinthearray.Thechaoticsynchronizationappearsbetweentwooutmostlasers,thesecondtwooutmostlasers,etc.Thereisnosynchronizationbetweennearestneighborsofthelasers.IfthenumberofNisodd,themiddlelaserisneversynchronizedbetweenanylasers.ThechaoticsynchronizationofphasesbetweennearestlasersinthearrayisexaminedbyusingtheanalyticsignalandtheGaussianfiltermethodsbasedonthepeakofthepowerspectrumoftheintensity.Itcanbeseenthatthemessageofchaoticintensitysynchronizationisconveyedthroughthephasesynchronization.
简介:Thestatisticcharacteristicsofchaoticsequencesgeneratedbyimprovedlogistic-mapareanalyzedanditisfoundthatimprovedlogistic-mapchaoticsequenceshavegoodcorrelationandtheycanbeusedasaddresssequencesinspread-spectrumcommunication.Thediscrete-timesynchronizationofHenonmapisimmediate.Weapplythediscrete-timesynchronizationtochaoticspread-spectrumcomuunicationandproposeanoriginalcommunicationscheme.Thesimulationshowsthattheapplicationissuccessful.
简介:CHAOTICOUTPUTOFSSTFLUCTUATIONSTOCHASTICMODELWITHGIVENPARAMETERS¥YanShaojinandPengYongqing严绍瑾,彭永清(NanjingInstituteofMeteorolog...