简介：这篇论文与变化时间的延期探讨polytopic系统的Hankel标准。延期依赖者足够的条件被介绍以便polytopic系统是稳定的，polytopic系统的Hankel标准是不到规定数量以线性矩阵不平等。一个数字例子被举。

简介：这份报纸在一个分布式的框架讨论机器人形成。最重要的贡献是进机器人形成系统的坚韧性的加入。当机器人在差的环境执行任务时，在他们的模型的参数在名字的值附近波动，它可以破坏形成系统的稳定性。由作为一个互连的系统为机器人的组建模，我们试图开发一套柔韧的分布式的控制器以便全面系统对外部骚乱以及参数无常柔韧。基于图刚硬理论，我们也考虑在即时应用程序起一个重要作用的形成的旋转。模拟和即时实验被执行验证建议框架的有效性。

简介：Accuratemodelidentificationandfaultdetectionarenecessaryforreliablemotorcontrol.Motor-characterizingparametersexperiencesubstantialchangesduetoaging,motoroperatingconditions,andfaults.Consequently,motorparametersmustbeestimatedaccuratelyandreliablyduringoperation.Basedonenhancedmodelstructuresofelectricmotorsthataccommodatebothnormalandfaultymodes,thispaperintroducesbias-correctedleast-squares(LS)estimationalgorithmsthatincorporatefunctionsforcorrectingestimationbias,forgettingfactorsforcapturingsuddenfaults,andrecursivestructuresforefficientreal-timeimplementation.Permanentmagnetmotorsareusedasabenchmarktypeforconcretealgorithmdevelopmentandevaluation.Algorithmsarepresented,theirpropertiesareestablished,andtheiraccuracyandrobustnessareevaluatedbysimulationcasestudiesunderbothnormaloperationsandinter-turnwindingfaults.Implementationissuesfromdifferentmotorcontrolschemesarealsodiscussed.

简介：Newdelay-independentanddehy-dependentstabilitycriteriaforlinearsystemswithmultipletime-varyingdelaysareestablishedbyusingthetime-domainmethod.Theresultsarederivedbasedonanew-typestabilitytheoremforgeneralretardeddynamicalsystemsandnewanalysistechniquesdevelopedintheauthor'spreviouswork.Unlikesomeresultsintheliterature,alloftheestablishedresultsdonotdependonthederivativeoftime-varyingdelays.Therefore,theyaresuitableforthecasewithveryfasttime-varyingdelays.Inaddition,someremarksarealsogiventoexphintheobtainedresultsandtopointoutthelimitationsofthepreviousresultsintheliterature.

简介：有混合变化时间的延期的不明确的中立系统的柔韧的稳定性在这篇论文被调查。在考虑下面的不确定性围住标准、变化时间。基于Lyapunov稳定性理论，一个延期依赖者稳定性标准在线性矩阵不平等(LMI)形式被导出并且给。最后，一个数字例子被给在一些存在结果上说明重要改进。

简介：在这篇论文，我们与州的延期处理不明确的变化时间的非线性的系统的一个班。在一些假设下面，我们构造稳定连续反馈的一些，即处于状态线性、非线性，它能保证全球制服得到指数的稳定性和考虑系统的全球一致实际集中。为名字的稳定的系统的二次的Lyapunov函数为全球系统被用作一个Lyapunov候选人函数。在这笔记开发的结果对有不明确的时间延期的动态系统的一个班适用。我们的结果被一个数字例子说明。

简介：这篇论文与改变延期的时间为周期性的神经网络瞄准全球asymptotic稳定性标准到现在的一些延期依赖者。获得的结果没在改变延期的时间的衍生物的大小上有限制，并且能容易由于线性矩阵不平等的形式被检查。由有一些以前的结果的比较，获得的结果是不太保守的。一个数字例子被利用表明获得的结果的有效性。

简介：TheseparationoftheLyapunovmatricesandsystemmatricesplaysanimportantrolewhenoneusesparameter-dependentLyapunovfunctionalhandlingsystemswithpolytopictypeuncertainties.Thedelay-dependentrobuststabilityproblemforsystemswithpolytopictypeuncertaintiesisdiscussedbyusingparameter-dependentLyapunovfunctional.ThederivativeterminthederivativeofLyapunovfunctionalisreservedandthefreeweightingmatricesareemployedtoexpresstherelationshipbetweenthetermsinthesystemequationsuchthattheLyapunovmatricesarenotinvolvedinanyproducttermswiththesystemmatrices.Inaddition,therelationshipsbetweenthetermsintheLeibnizNewtonformulaarealsodescribedbysomefreeweightingmatricesandsomedelay-dependentstabilityconditionsarederived.Numericalexamplesdemonstratethattheproposedcriteriaaremoreeffectivethanthepreviousresults.

简介：Thispaperdealswiththeproblemofrobuststabilityforcontinuous-timesingularsystemswithstatedelayandparameteruncertainty.Theuncertainsingularsystemswithdelayconsideredinthispaperareassumedtoberegularandimpulsefree.Bydecomposingthesystemsintoslowandfastsubsystems,arobustdelay-dependentasymptoticstabilitycriteriabasedonlinearmatrixinequalityisproposed,whichisderivedbyusingLyapunov-Krasovskiifunctionals,neithermodeltransformationnorboundingforcrosstermsisrequiredinthederivationofourdelay-dependentresult.Therobustdelay-dependentstabilitycriterionproposedinthispaperisasufficientcondition.Finally,numericalexamplesandMatlabsimulationareprovidedtoillustratetheeffectivenessoftheproposedmethod.

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.

简介：这篇论文论述一个分析方法，基于MacCormack鈥檚技术，为在高速度的电路网络的分布式的参数元素的时间领域敏感的评估。敏感能从分布式的参数元素的电、物理的参数被计算。建议方法是时间空间discretization的一个直接数字的方法并且不要求复杂数学扣除过程。因此，编程序是很方便的这个方法。它能在线性或非线性的电路网络被用于一般传播线的敏感分析。建议方法是second-order-accurate。数字实验被介绍表明它的精确性和效率。关键词敏感分析-分布式的参数-Multiconductor传播线-高速度的电路网络-MacCormack方法花环DOU在1974出生了。他是在科技的南京大学的自动化的部门的一个博士候选人。他的研究兴趣在分布式的参数的控制系统。王志全在1939出生了。他是在科技的南京大学的自动化的部门的一个教授。主要在非线性的控制理论和申请，他的研究兴趣被散布参数控制系统和混乱控制理论和申请。

简介：Thispaperisconcernedwiththedesignofamemorystatefeedbackcontrollerforlinearsystemswithintervaltime-varyingdelays.Thetimedelayisassumedtobeatime-varyingcontinuousfunctionbelongingtoagiveninterval,whichmeansthatthelowerandupperboundsoftime-varyingdelayareavailable.First,alessconservativedelay-range-dependentstabilitycriteriaisproposedbyusinganewintervalfractionmethod.Intheprocessofcontrollersynthesis,thehistoryinformationofsystemisconsideredinthecontrollerdesignbyintroducingthelowerdelaystate.Moreover,theusualmemorylessstatefeedbackcontrollerfortheunderlyingsystemscouldbeconsideredasaspecialcaseofthememorycase.Finally,twonumericalexamplesaregiventoshowtheeffectivenessoftheproposedmethod.

简介：这篇论文为变化时间的趋于增加的噪音调查稳定的一个基本问题随机的系统。一个必要、足够的稳定条件基于后退的地平线途径被介绍。如果条件满足，明确的变化时间的控制器被设计。介绍结果就我们的知识而言是新的。

简介：Thispaperdealswiththeproblemofguaranteedcostcontrolfornonlinearsystemswithtime-varyingdelayswhichisrepresentedbyTakagi-Sugeno(T-S)fuzzymodelswithtime-varyingdelays.Thederivativesoftime-varyingdelayarenotnecessarytobebounded.Basedonthefreeweightingmatrixmethod,sufficientconditionsfortheexistenceoffuzzyguaranteedcostcontrollerviastatefeedbackaregivenintermsoflinearmatrixinequalities(LMIs).Aminimizingmethodisalsoproposedtosearchthesuboptimalupperboundoftheguaranteedcostfunction.Theresultsaredelay-dependentbutcontaindelay-independentcriteriaasaspecialcase.Anumericalexampleispresentedtodemonstratetheeffectivenessandlessconservativenessofourwork.

简介：在这篇论文，我们处理稳定问题因为线性变化periodicallytime交换了系统。用discretization技术，我们以矩阵不平等的答案为全球stabilizability导出新条件。为发现稳定控制器和切换的策略被介绍的一个算法。

简介：ThispaperdiscussesH-infinitystatefeedbackcontrolforanetworkedcontrolsystemwithtime-varyingdelays.Basedonthefree-weighingmatrixmethod,adelay-dependentstabilitycriterionsatisfyingaprescribedH-infinitynormboundispresentedforanNCSwithunknown,time-varyingandboundeddelays.Andthen,thecriterionistransformedintosufficientconditionsbasedonlinearmatrixinequalitiesforH-infinitycontrol.TheconditionsthusobtainedarealsousedtodesignanH-infinitystatefeedbackcontroller.ThisdesignmethodisfurtherextendedtosolvethedesignproblemofrobustH-infinitystatefeedbackcontrol.Anumericalexampledemonstratesthevalidityofthemethod.

简介：在这篇论文，全球asymptotic稳定性与变化时间、分布式的延期为Cohen-Grossberg神经网络的一个班被调查。由使用功能的Lyapunov-Krasovskii和考虑系统的相等的描述符形式，几延期依赖者足够的条件被获得保证探讨的系统的asymptotic稳定性。这些条件依赖于变化时间、分布式的延期并且以LMI介绍并且因此，如此的系统的稳定性标准能被诉诸MatlabLMI工具箱乐意地检查。最后，一个例子被给显示出有效性和建议方法的更少的保守主义。

简介：Thispaperfocusesontheproblemofrobuststabiiizationforaclassoflinearsystemswithuncertainparametersandtimevaryingdelaysinstates.Theparameteruncertaintyiscontinuous,timevarying,andnorm-bounded.Thestatedelayisunknownandtimevarying.Thestatesofthesystemarenotallmeasurableandanobserverisconstructedtoestimatethestates.Ifalinearmatrixinequality(LMI)issolvable,thegainsofthecontrollerandobservercanbeobtainedfromthesolutionoftheLMI.Theobserverandcontrolleraredependentonthesizeoftimedelayandonthesizeofdelayderivative.Finally,anexampleisgiventoillustratetheeffectivenessoftheproposedcontrolmethod.