简介:ThelimitsofparameterγinFASTTCParestudiedinthispaper.AcontinuoustimefluidflowmodelofthelinkbufferisconsideredtocreatealinearcontrolsystemrelatedtoFASTTCP.Linearingthefluidflowmodelandwindowcontrolmodel,theLaplacetransformversionofcongestioncontrolsystemarepresented.Itresultsinanegativefeedbacksystemwithopenlooptransferfunction.WiththeanalysisofNyquistcurveofthesystem,asufficientconditiononasymptoticalstabilityofFASTTCPcongestionwindowrelatedtotheparameterγisobtained.Packetlevelns-2simulationsareusedtoverifythetheoreticalclaims.
简介:TheMTD(mixturetransitiondistribution)modelbasedonWeibulldistribution(WMTDmodel)isproposedinthispaper,whichisaimedatitsparameterestimation.AnEMalgorithmforestimationisgivenandshowntoworkwellbysomesimulations.Andbootstrapmethodisusedtoobtainconfidenceregionsfortheparameters.Finally,theresultsofarealexample-predictingstockprices-showthattheWMTDmodelproposedisabletocapturethefeaturesofthedatafromthick-taileddistributionbetterthanGMTD(mixturetransitiondistribution)model.
简介:Thisarticleinvestigatesthefractionalderivativeorderidentification,thecoefficientidentification,andthesourceidentificationinthefractionaldiffusionproblems.If1<α<2,weprovetheuniquedeterminationofthefractionalderivativeorderandthediffusioncoefficientp(x)by∫t0u(0,s)ds,0
简介:Inthispaper,thetheoremsconcerningthesummationofFourierserieswithparameteraregivenbyusingtheLaplacetransforms.BymeansoftheknownresultofLaplacetransforms,manynew,importantproblemsofsummationofFourierserieswithparameterinmechanicscanbesolved.
简介:ThispaperconstructsaclassofHarish-Chandramoduleswithmultiplicity<-1ofthetwoparameterdeformationofVirasoroalgebraandprovesaclassificationtheorem.
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简介:BasedontheFenlon‘stheorytheparametriceffectsinfluidsduetothenonlinearinteractionofalowfrequencypumpingwaveandahighfrequencyprobingwaveareanalysed.TheexpressionsofpressureamplitudeofsumordifferencefrequencysidebandandthefromulaofnonlinearityparameterB/Aforlossymediumarederived.Theoreticalcalculationdemonstrated,thatthesidebandcomponentsincreaselinearlywithpumpsignal.Therefore,amethodfordeterminationofB/Aisprovidedandtheval-uesforseveralbiologicalfluidsandmixturesaremeasured.
简介:Parameteridentificationproblemisoneofessentialprobleminordertomodeleffectivelyexperimentaldatabyfractalinterpolationfunction.Inthispaper,wefirstpresentanexampletoexplainarelationshipbetweeniterationprocedureandfractalfunction.Thenwediscussconditionsthatverticalscalingfactorsmustobeyinonetypicalcase.
简介:当数字地为一艘轮船建模时,参数评价的精确性是批评的。有限制的一个参数评价方法被开发,基于变化方法。在变化方法的性能函数和限制方程被分析系统的输入和输出方程构造。参数评价的问题被转变成最少的广场评价的一个问题。参数评价方程被分析以便基于Lagrange增加操作员得到参数的一个优化评价。模拟结果证明这个方法比传统的最少的广场评价好,当识别参数时,生产更高的精确。它在象系统鉴定和参数评价那样的申请的区域有很重要的实际价值。关键词最少的广场评价-参数评价-变化方法-限制基础条款:不到资助号码2009由海军设备部门基础支持了(189)。我皮脂腺囊瘤史在1982出生了。他是在海军海底的学院的一个讲师,中国。他的当前的研究兴趣是海底的航行。
简介:Optimalswitchingandimpulsecontrolsforadistributedparametersystemsareconsidered.Weprovethatthevaluefunctionsu_u(·)ofapproximatingproblemsapproachtothevaluefunctionu(·)oftheoriginalproblem,whileu_u(·)istheuniqueviscositysolutionofthecorrespondingHamilton-Jacobi-Bellmansystem.Wealsoconstructanoptimalcontrolfortheoriginalproblemviathevaluefunctionu(·).
简介:随机的地震倒置是geostatistics和从地震记录,井木头,和geostatistics把信息集成到表面下的模型的以后的概率密度功能(PDF)的地震倒置技术的联合。Markov链蒙特卡罗(MCMC)方法被用来取样以后的PDF,表面下的模型特征能被分析推断一套以后的PDF样品。在这份报纸,我们首先介绍随机的地震倒置理论,讨论并且分析四个关键参数:地震数据signal-to-noise比率(S/N),variogram,以后的PDF样品数字,和井密度,并且建议这些参数的最佳选择。分析结果证明地震数据S/N调整在地震数据的影响之间的妥协,倒置上的geostatistics结果,variogram控制倒置结果的光滑,以后的PDF样品数字决定统计特征的可靠性源于样品,并且很好,密度影响倒置无常。最后,在随机的地震倒置之间的比较和确定的模型基于地震倒置显示随机的地震倒置能提供表面下的特性的更可靠的信息。
简介:1.IntroductionManyphysicalsystems,suchajsthemodynamics,electrodynamics,populationbiology,aregovernedbydifferentialequations,integrodifferentialequationsormoregenerallyfunctionaldifferentialevolutionequationsonBanachspace.Associatedoptimalcontrolprobl...
简介:Amongtheavailableclusteringalgorithmsindatamining,theCLOPEalgorithmattractsmuchmoreattentionwithitshighspeedandgoodperformance.However,theproperchoiceofsomeparametersintheCLOPEalgorithmdirectlyaffectsthevalidityoftheclusteringresults,whichisstillanopenissue.Forthispurpose,thispaperproposesafuzzyCLOPEalgorithm,andpresentsamethodfortheoptimalparameterchoicebydefiningamodifiedpartitionfuzzydegreeasaclusteringvalidityfunction.TheexperimentalresultswithrealdatasetillustratetheeffectivenessoftheproposedfuzzyCLOPEalgorithmandoptimalparameterchoicemethodbasedonthemodifiedpartitionfuzzydegree.
简介:Electricaldischargemachining(EDM)process,atpresentisstillanexperienceprocess,whereinselectedparametersareoftenfarfromtheoptimum,andatthesametimeselectingoptimizationparametersiscostlyandtimeconsuming.Inthispaper,artificialneuralnetwork(ANN)andgeneticalgorithm(GA)areusedtogethertoestablishtheparameteroptimizationmodel.AnANNmodelwhichadaptsLevenberg-Marquardtalgorithmhasbeensetuptorepresenttherelationshipbetweenmaterialremovalrate(MRR)andinputparameters,andGAisusedtooptimizeparameters,sothatoptimizationresultsareobtained.Themodelisshowntobeeffective,andMRRisimprovedusingoptimizedmachiningparameters.