简介:Inthispaperweprovideasufficientandnecessaryconditionfortheeigenvalueandeigenvectorofageneralreduciblematrixinadiscrete-eventsystemdescribedbythe“max”algebra,analysethesteadyperiodicalperformanceofthesystem,andobtainananalyticsolutionofthedynamicequation.Weproposetheconceptionof“order-d-(?)-block-periodicalmatrix”andobtainitssufficientandnecessaryconditionandprovideanalgorithmof(?)matrix.
简介:ResultsonsupervisorycontrolofdiscreteeventprocessesaremainlyconcernedwithdesigningacontrollersuchthattheclosedloopsystemgeneratesalanguageLwhichcoincideswiththetargetlanguage.Inthispaperweconsidersupervisorycontrolproblemforaclassofdiscreteeventprocesseswhenthedesigntargetisthatacertainsetoflanguagepatternscannotoccurintheclosedlooplanguage.AheuristicsupervisorisconstructedviatheheuristicsearchmethoddevelopedinAI.Thisschemerequiresonlytheinformationaboutthecontrollabilityoftheeventsymbolset.Itiscapableofdesigningamodularheuristicsupervisorwhentherearemanysuchforbiddenstrings.Effectivenessofsuchasupervisorisprovedforsystemswithperfectandpartialobservation.
简介:Thispaperpresentsastudyontheperformanceofflexiblemanufacturingsystems(FMSs),byusingdiscreteeventsystem(DES)models,consideringresourcelossesmodelledbyaparameterentitledcoveragefactor.WeconcludethattheresourcescelllossdistributionbetweenthetasksofaFSMisarealfunctionthatcannotbeintegrated,inordertocalculateitsprimitive,intheclassicalsenseofRiemannorLebesgue,butonlyinthesenseofHenstock-Kurzweilintegral.Ourresultallowsonetostudymoregeneralprocesseswherehighlyoscillatoryfunctionsoccur.Themethodusedtodeducethefunctiondescribingtheresourcescelllossdistributioniscomparedwithaclassicalmethodrelatedintheliterature,respectivelyrationalinterpolants.Anexamplehasbeenconstructedtoemphasizewhatwebelievetobe,newapproaches.
简介:这篇论文描述有效数据结构,也就是索引的P树,块P树,和索引块P树(或IP树,BP树,和IBP树,分别地为短)为在一个通用离散事件模拟系统维持未来事件,并且在事件地平线原则下面学习他们的事件集合算法的表演。为比较原因,一些著名事件集合算法被选择了并且学习,也就是说theDynamic堆和P树算法。到进给算法并且与另外的选择算法允许比较的建议事件的表演的获得卓见,他们以一个试验性的方法在许多条件下面被测试。为Holdoperation的实行需要的时间为估计算法的平均时间复杂性作为这项措施被花。BP树算法和IBP树算法与所有尺寸和他们的表演的事件集合表现很好的Theexperimental结果表演几乎独立于随机的分布。
简介:TheGAuDIarchitectureandframeworkaredesignedtoprovideacomoninfrastructureandenvironmentforsimulation,filtering,reconstructionandanalysisapplications.InitiallydevelopedfortheLHCbexperiment,GAUDIhasbeenadoptedandextendedbytheATLASexperimentandadoptedbyseveralotherexperimentsincludingGLASTandHARP.wedescribethepropertiesandconceptsembodiedbyGAUDIandrecentfunctionalityadditionsandhowtheprojecthasevolvedfromaproductdevelopedbyatightly-knitteaminasinglesite,toacollaborationbetweenmultipleteamsatgeographicallydispersedsites,basedlooselyonopensourceconcepts.Wedescribethemanagementinfrastructureaswellashowweaccommodateexperment-specificextensionsandadaptationsaswellasanexperiment-neutralkernel.
简介:ThecharacterizationofisotropicBesovspacesforintermsofprogressivedifferencesofafunctionondyadicpointsisobtained.Moreover,forwithananalogouscharacterizationofanisotropicBesovspacesispresented.
简介:我们在二维的非线性的格子与等于1的拓扑的费用在局部性的状态的二种类型上考虑anisotropy的效果,用分离非线性的Schr?是的dinger方程一个范例模型。我们全球性发现有不同繁殖常数的on-site-centered旋涡不是马厩,和那繁殖常数的上面、更低的边界存在。在这二条边界之间的区域是on-site-centered旋涡是不稳定的在外面领域。当anisotropy参数逐渐地被增加,这个区域在尺寸减少。我们也在各向异性的格子上认为off-site-centered是旋涡,它在这种格子类型和任何一个变换上是不稳定的进稳定的四极或倒塌。我们发现进四极的off-sitecentered旋涡的转变,发生在各向异性的格子上,不能发生在各向同性的格子上。在四极盒子中,一个繁殖常数区域也存在,在哪个外面局部性的状态不能稳定地存在。这个区域上的anisotropy的影响与它on-site-centered旋涡盒子上的效果几乎相同。
简介:Thispaperdescribesthedynamicbehaviorofextendedtimedeventgraphsrelatedtoplacedelayinthedioidframework.ByCoferandGarg'ssupervisorycontroltheory,weaddresscontrolproblemsofextendedtimedeventgraphs.Supervisorycontrolofextendedtimedeventgraphs(aclassofdiscreteeventdynamicsystems)isstudiedinthedioidframework,anecessaryandsufficientconditionfortheidealsofthesetoffiringtimesequencesoftransitionstobecontrollableispresented.Weproveallthestronglycontrollablesubsetscanformacompletelattice,
简介:ApossiblemechanismisputforwardinthispaperforElNinoeventsfromtheviewpointofplatetec-tonicsandoceanicgeology.Anumberofthedataarecitedtoillustratetheviewsthatsea-bottomvolcanicac-tivitiesandhotspringsmaycauseElNinoevents.
简介:StdHepC++[1]isaCLHEP[2]MonteCarloeventclasslibrarywhichprovidesacommoninterfacetoMonteCarloEventGenerators,ThisworkisanextensiveredesignoftheStdHepFortraninterfacetousethefullpowerofobjectorienteddesign,AgeneratedeventmapsnaturallyontotheDirectedAcyclicGraphconceptandwehaveusedtheHepMCclassestoimplementthis.Thefullimplementationallowstheusertocombineeventstosimulatebeampileupandaccessthemtransparentlyasthoughtheywereasingleevent.