简介：Thispaperdealswiththeiterativelearningcontrol(ILC)designformultiple-inputmultiple-output(MIMO),time-delaysystems(TDS).TwofeedbackILCschemesareconsideredusingtheso-calledtwo-dimensional(2D)analysisapproach.Itshowsthatcontinuous-discrete2DRoessersystemscanbedevelopedtodescribetheentirelearningdynamicsofbothILCschemes,basedonwhichnecessaryandsufficientconditionsfortheirstabilitycanbeprovided.Anumericalexampleisincludedtovalidatethetheoreticalanalysis.

简介：ThispaperstudiestheinfinitetimehorizonmixedH-two/H-infinitycontrolproblemfordescriptorsystemsusingNashgameapproach.Anecessary/sufficientconditionfortheexistenceofinfinitehorizonH-two/H-infinitycontrolispresentedintheformoftwocoupledalgebraicRiccatiequations,respectively.Finally,asuboptimalH-two/H-infinitycontrollerdesignisgivenbasedonaniterativelinearmatrixinequalityalgorithm.

简介：Inthispaper,ananalyticaltechniqueispresentedfortimedomainanalysis(transientandsteady-stateresponse)ofperturbedPWMpush-pullDC-DCconverterusinginterestingcorollaryonKharitonov'stheorem.ThemainadvantageoftheproposedanalysisisthateventhoughthetransferfunctionmodelofaPWMpush-pullDC-DCconverterisperturbed,thecompleteanalysishasbeendoneonalineartransferfunctionmodelofaPWMpush-pullDC-DCconverter.TheproposedanalysisisverifiedusingMATLABsimulation.Thisanalysiswillbeverymuchusefultopowerelectronicsengineers,sincethetechniqueisverysimpleandcomputationallyefficientandeasilyapplicableinpreciseapplicationssuchasaerospaceapplications.

简介：与时间延期为不明确的分离时间的线性系统的一个类过滤的柔韧的H无穷；失踪的大小在这篇论文被学习。不明确的参数应当居住在凸的polytope；失踪的大小被一个二进制切换序列描述令人满意Bernoulli分布。我们的注意集中于分析；柔韧的H无穷过滤器的设计以便，为所有可被考虑的参数不确定性；所有可能的错过大小，过滤错误系统是有规定H无穷骚乱变细水平的指数地吝啬平方的马厩。一条参数依赖者途径被建议导出不太保守的结果。足够的条件以某些线性矩阵不平等(LMI)为需要的过滤器的存在被建立。当这些LMI是可行的时，需要的过滤器的明确的表情也被提供。最后，一个数字例子被举说明有效性；建议方法的适用性。

简介：Stepper马达驾驶系统广泛地在工业应用程序被使用。他们主要为他们的低花费的开环的高效被使用。然而，同样有活力的系统需要逐渐地更快并且他们的运动更精确，有精确、可靠的一个开环的系统是重要的。在这份报纸，我们在场一个基因算法(GA)在基于查找桌子途径的一种新奇技术被用来发现一个开环的stepper马达系统的最佳的走顺序。最佳的顺序目的是最小化剩余颤动并且精确地跟随轨道。一个基因算法被用来发现最小化错误并且改进系统表演的最好走的顺序。数字模拟显示了我们的途径的有效性为位置和速度改进系统性能。优化系统减少了剩余颤动并且能与最小的错误跟随轨道。

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简介：Thispaperpresentsamodel-basedapproximateλ-policyiterationapproachusingtemporaldifferencesforoptimizingpathsonlineforapursuit-evasionproblem,whereanagentmustvisitseveraltargetpositionswithinaregionofinterestwhilesimultaneouslyavoidingoneormoreactivelypursuingadversaries.Thismethodisrelevanttoapplications,suchasroboticpathplanning,mobile-sensorapplications,andpathexposure.Themethodologydescribedutilizescelldecompositiontoconstructadecisiontreeand...

简介：Thispaperpresentsareal-timemechanismtotoleratefaultsoccurringinawindturbine(WT)system.ThissystemiscomposedofaFASTcodedsimulatordesignedbytheU.S.NationalRenewableEnergyLaboratory.Thedemonstratedmechanismliesunderthetaxonomyofactivefault-tolerantcontrol(FTC)systems,namelyonlineredesignbasedapproach.Intheproposedapproach,wedonotuseanyaprioriinformationaboutthemodeloftheturbineinreal-time.Infact,weuseonlinemeasurementsgeneratedbytheWT.Basedonthegivencontrolspecifications,andtheobservedmeasurementanoccurredfaultisaccommodatedbyreconfiguringtheonlinecontrollersuchthattheWTgeneratesratedpowerevenunderfaultyconditions.Second,noexplicitfaultdiagnosis(FD)moduleisusedinthisapproach.Asaresult,issuesofmodeluncertainty,falsealarms,etc.associatedwithanintegratedFDandcontrollerreconfigurationapproachtoFTCsystemsarenotexperiencedhere.