简介：复杂适应系统(cas)-包含当他们交往，适应或学习的许多部件的系统-在重要当代的问题的心。学习ofcas提出唯一的挑战：一些我们的很强大的数学工具，特别地，包含的方法修理了点，引起注意的人，等等，具有在理解cas的发展的有限帮助。这篇论文建议方法修改研究方法和工具，与基于计算机的模型的角色上的一个重音，到增加我们cas的理解。

简介：

简介：FortheARMAXsystemwithunknowncoefficientstheoptimaladaptivecontrolisdesignedsothatthefollowingrequirementsaremetsimultaneously:1)thetransferfunctionfromareferencesignaltothesystemoutputintheclosedloopequalsaprescribedrationalfunction;2)undertheconstraintmentionedin1)aquadraticlossfunctionisminimized;3)theparameterestimateisstronglyconsistent.

简介：Supplychainisacomplex,hierarchical,integrated,openanddynamicnetwork.Everynodeinthenetworkisanindependentbusinessunitthatunitesotherorganizationstodevelopitsvalue,thecompetitionandcooperationbetweentheseunitsarebasicimpetusofthedevelopmentandevolutionofthesupplychainsystem.Thecharacteristicsofsupplychainasacomplexadaptivesystemanditsmodelingarediscussedinthispaper,anduseanexampledemonstratingthefeasibilityofCASmodelinginsupplychainmanagementstudy.

简介：Inthispaper,atrustregionmethodforequalityconstrainedoptlmizationbasedonnondiferentiableexactpenaltyisproposed.Inthisalgorithin,thetrailstepischaracterizedbycomputationofitsnormalcomponentbeingseparatedfromcomputationofitstangentialcomponent,i.e.,onlythetangentialcomponentofthetrailstepisconstrainedbytrustradiuswhilethenormalcomponentandtrailstepitselfhavenoconstraints.Theothermaincharacteristicofthealgorithmisthedecisionoftrustregionradius.Here,thedecisionoftrustregionradiususestheinformationofthegradientofobjectivefunctionandreducedHessian.However,Maratoseffectwilloccurwhenweusethenondifferentiableexactpenaltyfunctionasthemeritfunction.Inordertoobtainthesuperlinearconvergenceofthealgorithm,weusethetwiceordercorrectiontechnique.Becauseofthespecialityoftheadaptivetrustregionmethod,weusetwiceordercorrectionwhenp=0(thedefinitionisasinSection2)andthisisdifferentfromthetraditionaltrustregionmethodsforequalityconstrainedopthnization.Sothecomputationofthealgorithminthispaperisreduced.Whatismore,wecanprovethatthealgorithmisgloballyandsuperlinearlyconvergent.

简介：Optimisingbothqualitativeandquantitativefactorsisakeychallengeinsolvingconstructionfinancedecisions.Thesemi-structurednatureofconstructionfinanceoptimisationproblemsprecludesconventionaloptimisationtechniques.Withadesiretoimprovetheperformanceofthecanonicalgeneticalgorithm(CCA)whichischaracterisedbystaticcrossoverandmutationprobability,andtoprovidecontractorswithaprofit-risktrade-offcurveandcashflowprediction,anadaptivegeneticalgorithm(AGA)modelisdeveloped.TenprojectsbeingundertakenbyamajorconstructionfirminHongKongwereusedascasestudiestoevaluatetheperformanceofthegeneticalgorithm(CA).TheresultsofcasestudyrevealthattheACAoutperformedtheCGAbothintermsofitsqualityofsolutionsandthecomputationaltimerequiredforacertainlevelofaccuracy.TheresultsalsoindicatethatthereisapotentialforusingtheGAformodellingfinancialdecisionsshouldbothquantitativeandqualitativefactorsbeoptimisedsimultaneously.

简介：Weconsiderinthispapertheproblemofrecursiveidentificationforstochasticsystemswhenthenoisemodeldoesnotsatisfythepositiverealconditionassociatedwithconvergenceofstandardalgorithms.Toavoidthepositiverealcondition,adaptivespectralfactorizationtechniquesareexploitedonthebasisofaclassofnon-standardtime-varyingrecursiveRiccatiequations.TheasymptoticpropertiesoftheRiccatiequationsarestudiedasacrucialsteptotheconvergenceresultsofthepaper.

简介：Itiswellknownthatthetransientbehaviorsofthetraditionaladaptivecontrolmaybeverypooringeneral,andthattheadaptivecontroldesignedbasedinswitchingbetweenmultiplemodelsisanintuitivelyappealingandpracticallyfeasibleapproachtoimprovethetransientperformances.Inthispaper,weshallprovethatforatypicalclassoflinearsystemsdisturbedbyrandomnoises,themultiplemodelbasedleast-equares(LS)adaptiveswitchingcontrolisstatbleandconvergentandhasthesameconvergencerateasthatestablishedforthestandardleast-squares-basedself-tunningregulators.Moreover,themixedcasecombiningadativemodelswithfixedmodelsisalsoconsidered.

简介：Inthispaperwestudyurnmodel,usingsomeavailableestimatesofsuccessesprobabilities,andaddingparticleparameter,weestablishadaptivemodels.Weobtainsomestrongconvergencetheorems,ratesofconvergence,asymptoticnormalityofcomponentsintheurn,andestimates.Withtheseasymptoticalresults,weshowthattheadaptivedesignsgiveninthispaperareasymptoticallyoptimaldesigns.

简介：Stochasticadaptivecontrolisconsideredforthediscrete-timemulti-inputandmulti-outputsystemofmulti-delaywithnoiseexpressedbyanARMAprocess.TheCARIMAmodelisaspecialcaseofthesysteminquestion.Theoptimaladaptivecontrollawisgivenanditisshownthataquadraticcostfunctionisminimizedandtheclosed-loopsystemisstable.Further,whenthesystemisofminimumphase,theconvergenceratesofparameterestimatesandofthecost-functionarealsoderived.

简介：这份报纸处理与控制不了的不稳定的linearization为非线性的系统的一个类调遣controlproblems的适应实际输出。设计一个光滑的适应调遣控制器解决几何、动态的任务withan的objectiveis任意的小稳定的追踪错误。增加一个力量综合者和robustrecursive设计技术的方法被采用强迫系统产量追踪一条需要的路径和makethe追踪速度沿着路径跟随需要的速度。一个例子被考虑，simulationresults被给。建议设计过程能被这个例子的使用说明。

简介：Inmobileadhocnetworks(MANET),nodesmovefreelyandthedistributionofaccessrequestschangesdynamically.Replicaallocationinsuchadynamicenvironmentisasignificantchallenge.Inthispaoer,adynamicadaptivereplicaallocationalgorithmthatcanadapttothenodesmotionisproposedtominimizethecommunicationcostofobjectaccess.Whenchangesoccurintheaccessrequestsoftheobjectorthenetworktopology,eachreplicanodecollectsaccessrequestsfromitsneighborsandmakesdecisionslocallytoexpandreplicatoneighborsortorelinquishthereplica.Thealgorithmdynamicallyadaptsthereplicaallocationschemetoalocaloptimalone.SimulationresultsshowthatouralgorithmsefficientlyreducethecommunicationcostofobjectaccessinMANETenvironment.

简介：这份报纸考虑最佳的公事包deleveraging的问题，它是在金融的一个关键问题。拿进帐号跨影响的永久、暂时的价格，作者与框限制和单身地二次的限制建立一个二次的程序。在一些假设下面，当二次的限制是活跃的时，作者给最佳的答案必须被完成的最佳的做贸易优先级和表演。进一步，作者为模型建议一个适应Lagrangian算法，在的地方piecewise二次的发现根的方法被用来更多样地发现Lagrangian。算法的集中被建立。作者也介绍一些数字结果，它显示出算法的实用性并且验证最佳的做贸易优先级。

简介：这份报纸证明错误减小为泊松方程的一个适应混合有限元素方法(AMFEM)的性质(浸透性质)，集中和optimality。在AMFEM的每个步骤，本地精炼被执行基于简单也面向边的剩余或面向边的数据摆动，仅仅取决于标记的策略，在精炼的某限制下面。这里使用的主要工具是Carstensen和Hoppe(2006)给的严格的分离本地效率性质，quasi-orthogonality估计由陈，Holst，和徐(2009)证明。数字实验充分证实理论分析。

简介：Inthispaper,theauthorsanalyzethestabilityofaclassofinterconnectedsystemswithsubsystemunmodeleddynamicsanddynamicinteractionsemployingdecentralizedadaptivecontrollersdesignedbyWen,Zhou,andWang(2008)inthepresenceofactuatorfailures.Itwillbeshownthattheglobalstabilityoftheremainingclosed-loopsystemisstillensuredandtheoutputsarealsoregulatedtozerowhensomesubsystemsbreakdown.

简介：基于观察员的适应滑动模式的问题与易于输入非线性的变化时间的延期三角洲控制操作符系统被调查。这非线性的斜坡参数是无节制的。一条新奇适应控制法律被建立以便在州评价的空间的滑动表面能在一有限时间被到达。A延期依赖者足够为错误系统和滑动模式动力学的asymptotic稳定性调节经由线性矩阵不平等(LMI)被导出。最后，一个模拟例子被举显示出建议方法的有效性和优点。

简介：Theproblemofconstructingamodelreferenceadaptivecontrollawforanuncertain1-dimensionalparabolicsystemisconsideredinthisarticle.Thecontrollerdesignedhereinvolvesonlytheplantstatebutnoitsderivatives.Aprioriboundsontheplant'suncertainparametersareusedtoproposeswitchinglawswhichserveasanadaptivemechanism.Theexponentialdecaytozeroofthestateerrorwithanyprescribedrateisguaranteedbychoosingacontrollerparametercorrespondingly.Numericalstudiesarealsopresentedtoillustratetheapplicabilityofthecontrollaw.

简介：High-frequencystocktrendpredictionusingmachinelearnershasraisedsubstantialinterestinliterature.Nevertheless,thereisnogoldstandardtoselecttheinputsforthelearners.Thispaperinvestigatestheapproachofadaptiveinputselection(AIS)forthetrendpredictionofhigh-frequencystockindexpriceandcomparesitwiththecommonlyuseddeterministicinputsetting(DIS)approach.TheDISapproachisimplementedthroughcomputationoftechnicalindicatorvaluesondeterministicperiodparameters.TheAISapproachselectsthemostsuitableindicatorsandtheirparametersforthetime-varyingdatasetusingfeatureselectionmethods.Twostate-of-the-artmachinelearners,supportvectormachine(SVM)andartificialneuralnetwork(ANN),areadoptedaslearningmodels.AccuracyandF-measureofSVMandANNmodelswithboththeapproachesarecomputedbasedonthehigh-frequencydataofCSI300index.TheresultssuggestthattheAISapproachusingt-statistics,informationgainandROCmethodscanachievebetterpredictionperformancethantheDISapproach.Also,theinvestmentperformanceevaluationshowsthattheAISapproachwiththesamethreefeatureselectionmethodsprovidessignificantlyhigherreturnsthantheDISapproach.

简介：这份报纸在控制结束与匹配的一般泛音骚乱考虑参数评价和一个不稳定的一个维的波浪方程的稳定。为无限维的系统的backstepping方法在适应管理者的设计被采用。这被显示出结果靠近环的系统是asymptotically稳定的。同时，当时间去无穷，估计的参数被显示对未知参数会聚。