简介:AccordingtoaclassofnonlinearSISOdiscretesystems,thefuzzyslidingmodecontrolproblemisconsidered.BasedonTakagi-Sugenofuzzymodelmethod,afuzzymodelisdesignedtodescribethelocaldynamicperformanceofthegivennonlinearsystems.Byusingtheslidingmodecontrolapproach,theglobalcontrollerisconstructedbyintegratingallthelocalstatecontrollersandtheglobalsupervisoryslidingmodecontroller.Thetrackingproblemcanbeeasilydealtwithbytakingadvantageofthecombinedcontroller,andtherobustnessperformanceisimprovedfinally.Asimulationexampleisgiventoshowtheeffectivenessandfeasibilityofthemethodproposed.
简介:最近,为小摆动差错的快速的察觉的一条途径为连续时间的系统基于确定的学习理论被建议。在这份报纸,一个差错察觉计划经由确定的学习为非线性的分离时间的系统的一个班被建议。由使用确定的学习算法的分离时间的扩展,一般差错工作(即,内部动力学)内在的正常和非线性的分离时间的系统的差错模式被分离时间的动态光线的基础功能(RBF)局部地精确地接近网络。然后,有嵌入的系统动力学的获得的知识的评估者的一个银行被构造,并且一套剩余被获得并且过去常测量监视系统的动力学和训练系统的动力学之间的差别。一个差错察觉决定计划根据最小的剩余原则被介绍,即,一个差错的出现能被比较剩余的大小在一个分离时间的背景检测。差错detectability分析被执行,察觉时间的上面的界限被导出。一个模拟例子被给说明建议计划的有效性。
简介:Multipleperformancerequirementsneedtobeguaranteedinsomereal-timeapplicationssuchasmultimediadataprocessingandreal-timesignalprocessinginadditiontotimingconstraints.Unfortunately,mostconventionalschedulingalgorithmsonlytakeoneortwodimensionsofthemintoaccount.Motivatedbythisfact,thispaperinvestigatestheproblemofprovidingmultipleperformanceguaranteesincludingtimeliness,QoS,throughput,QoSfairnessandloadbalancingforasetofindependenttasksbydynamicscheduling.Webuildaschedulermodelthatcanbeusedformulti-dimensionalscheduling.Basedontheschedulermodel,weproposeaheuristicmulti-dimensionalschedulingstrategy,MDSS,consistingofthreesteps.Thefirststepcanbeofanyexistingreal-timeschedulingalgorithmthatdeterminestoacceptorrejectatask.Instep2,weputforwardanovelalgorithmMQFQtoenhancetheQoSlevelsofacceptedtasks,andtomakethesetaskshavefairQoSlevelsatthesametime.AnothernewalgorithmITLBisproposedandusedinstep3.TheITLBalgorithmiscapableofbalancingloadandimprovingthroughputofthesystem.ToevaluatetheperformanceofMDSS,weperformextensivesimulationexperimentstocompareMDSSstrategywithMDSRstrategy,DASAPandDALAPalgorithms.ExperimentalresultsshowthatMDSSsignificantlyoutperformsMDSR,DASAPandDALAP.
简介:Thewidespreadoflocation-basedsocialnetworksbringsaboutahugevolumeofusercheck-indata,whichfacilitatestherecommendationofpointsofinterest(POIs).Recentadvancesondistributedrepresentationshedlightonlearninglowdimensionaldensevectorstoalleviatethedatasparsityproblem.CurrentstudiesonrepresentationlearningforPOIrecommendationembedbothusersandPOIsinacommonlatentspace,andusers'preferenceisinferredbasedonthedistance/similaritybetweenauserandaPOI.SuchanapproachisnotinaccordancewiththesemanticsofusersandPOIsastheyareinherentlydifferentobjects.Inthispaper,wepresentanoveltranslation-based,timeandlocationaware(TransTL)representation,whichmodelsthespatialandtemporalinformationasarelationshipconnectingusersandPOIs.Ourmodelgeneralizestherecentadvancesinknowledgegraphembedding.Thebasicideaisthattheembeddingofa〈time,location〉paircorrespondstoatranslationfromembeddingsofuserstoPOIs.SincethePOIembeddingshouldbeclosetotheuserembeddingplustherelationshipvector,therecommendationcanbeperformedbyselectingthetop-kPOIssimilartothetranslatedPOI,whichareallofthesametypeofobjects.Weconductextensiveexperimentsontworeal-worlddata.sets.TheresultsdemonstratethatourTransTLmodelachievesthestate-of-the-artperformance.Itisalsomuchmorerobusttodatasparsitythanthebaselines.
简介:完整顺序的柔韧的H无穷评估者的设计被调查forcontinuous时间polytopic不明确的系统。主要目的是获得一个马厩和合适的线性评估者以便评价错误系统与prescribedH无穷变细水平仍然保持要用体力地稳定。基于展出在Lyapunov矩阵和系统之间的一种去耦的一个最近建议的H无穷性能标准动态矩阵,为柔韧的评估者的存在的一个足够的条件以线性矩阵不平等被提供。死,这被显示出建议设计策略允许parameter-dependentLyapunov功能的使用并且因此它不比更早的结果保守。一个数字例子被采用说明建议设计的可行性和优点。
简介:Thegeneralconceptofdatacompressionconsistsinremovingtheredundancyexistingindatatofindamorecompactrepresentation.Thispaperisconcernedwithanewmethodofcompressionusingthesecondgenerationwaveletsbasedontheliftingscheme,whichisasimplebutpowerfulwaveletconstructionmethod.Ithasbeenprovedbyitssuccessfulapplicationtoareal-timemonitoringsystemoflargehydraulicmachinesthatitisapromisingcompressionmethod.
简介:Thispaperisconcernedwiththeadaptivestabilizationproblemofuncertaininputdelayedsystems.Asolutiontothisproblemisgivenforaclassofuncertainnonlinearsystemswithtime-varyingdelaysinbothstateandinput.Anadaptiveasymptoticallystabilizingcontroller,whichcanguaranteethestabilityoftheclosed-loopsystemandtheconvergenceoftheoriginalsystemstate,isdesignedbymeansoftheLyapunov-Krasovskiifunctionalstabilitytheorycombinedwithlinearmatrixinequalities(LMIs)an...
简介:Theproblemofdelay-dependentrobuststabilityforsystemswithtitne-varyingdelayhasbeenconsidered.ByusingtheS-procedureandthePark'sinequalityintherecentissue,adelay-dependentrobuststabilitycriterionwhichislessconservativethanthepreviousresultshasbeenderivedfortime-delaysystemswithtime-varyingstructureduncertainties.Thesameideahasalsobeeneasilyextendedtothesystemswithnonlinearperturbations.Numericalexamplesillustratedtheeffectivenessandtheimprovementoftheproposedapproach.
简介:Inthispaper,westudythecontrollabilityresultsforthenonlinearimpulsiveintegrodifferentialevolutionsystemswithtime-varyingdelaysinBanachspaces.Thesufficientconditionsofexactcontrollabilityisprovedunderwithoutassumingthecompactnessoftheevolutionoperator.TheresultsareobtainedbyusingthesemigrouptheoryandtheSchaferfixedpointtheorem.