简介：

简介：

简介：Chainreactionbankruptcyisregardedascommonphenomenonanditseffectistobetakenintoaccountwhencreditriskportfolioisanalyzed.Butconsiderationandmodelingofitseffectleavemuchroomforimprovement.Thatismainlybecausemethodforgraspingrelationsamongcompanieswithlimiteddataisunderdeveloped.Inthisarticle,chancediscoverymethodisappliedtoestimateindustrialrelationsthataretoincludecompanies'relationsthattransmitchainreactionofbankruptcy.TimeordermethodanddirectedKeyGrapharenewlyintroducedtodistinguishandexpressthetimeorderamongdefaultsthatisessentialinformationfortheanalysisofchainreactionbankruptcy.ThestepsforthedataanalysisareintroducedandresultofexampleanalysiswithdefaultdatainKyushu,Japan,2005ispresented.Thestructureestimatedbythenewmethodiscomparedwiththestructureofactualaccountreceivableholdersofbankruptedcompaniesforevaluation.

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简介：这篇论文考虑由一个仓库和一个零售商组成的二水平的供应链。在这个模型，我们根据库存和交通费用决定最佳的订政策。我们假设由零售商的需求率被知道。缺乏既不在零售商也不在仓库被允许。我们在二种情况中学习这个模型；分散并且集中。在分散的盒子中，零售商和仓库独立地最小化他们的自己的费用；当在集中的盒子中仓库和零售商被认为总体上坚挺时。我们建议一个算法为在集中的盒子中最小化全部的系统费用的零售商和仓库发现经济顺序数量。全部的系统费用从仓库在零售商和仓库以及交通费用包含成立并且订的费用到零售商。进一所公共医院的药品的下游的供应链的这个模型的申请允许获得重要积蓄。由数字例子，费用在MATLAB©被计算在集中的盒子中把费用与分散的作比较并且通过数量折扣建议节省份额机制。

简介：Thispaperaddressestheproblemonsensorfaultestimationandfault-tolerantcontrolforaclassofTakagi-SugenoMarkovianjumpsystems,whicharesubjectedtosensorfaultsandpartiallyunknowntransitionrates.First,theoriginalplantisextendedtoadescriptorsystem,wheretheoriginalstatesandthesensorfaultsareassembledintothenewstatevector.Then,anovelreduced-orderobserverisdesignedfortheextendedsystemtosimultaneouslyestimatetheimmeasurablestatesandsensorfaults.Second,byusingtheestimatedstatesobtainedfromthedesignedobserver,astate-feedbackfault-tolerantcontrolstrategyisdevelopedtomaketheresultingclosed-loopcontrolsystemstochasticallystable.Basedonlinearmatrixinequalitytechnique,algorithmsarepresentedtocomputetheobservergainsandcontrolgains.Theeffectivenessoftheproposedobserverandcontrollerarevalidatedbyanumericalexampleandacomparedstudy,respectively,andthesimulationresultsrevealthattheproposedmethodcansuccessfullyestimatethesensorfaultsandguaranteethestochasticstabilityoftheresultingclosed-loopsystem.