简介:Thispaperdealswiththeiterativelearningcontrol(ILC)designformultiple-inputmultiple-output(MIMO),time-delaysystems(TDS).TwofeedbackILCschemesareconsideredusingtheso-calledtwo-dimensional(2D)analysisapproach.Itshowsthatcontinuous-discrete2DRoessersystemscanbedevelopedtodescribetheentirelearningdynamicsofbothILCschemes,basedonwhichnecessaryandsufficientconditionsfortheirstabilitycanbeprovided.Anumericalexampleisincludedtovalidatethetheoreticalanalysis.
简介:Arobustadaptiverepetitivelearningcontrolmethodisproposedforaclassoftime-varyingnonlinearsystems.Nussbaum-gainmethodisincorporatedintothecontroldesigntocounteractthelackofaprioriknowledgeofthecontroldirectionwhichdeterminesthemotiondirectionofthesystemunderanyinput.Itisshownthatthesystemstatecouldconvergetothedesiredtrajectoryasymptoticallyalongtheiterationaxisthroughrepetitivelearning.Simulationiscarriedouttoshowthevalidityoftheproposedcontrolmethod.
简介:Inthispaper,ananalyticaltechniqueispresentedfortimedomainanalysis(transientandsteady-stateresponse)ofperturbedPWMpush-pullDC-DCconverterusinginterestingcorollaryonKharitonov'stheorem.ThemainadvantageoftheproposedanalysisisthateventhoughthetransferfunctionmodelofaPWMpush-pullDC-DCconverterisperturbed,thecompleteanalysishasbeendoneonalineartransferfunctionmodelofaPWMpush-pullDC-DCconverter.TheproposedanalysisisverifiedusingMATLABsimulation.Thisanalysiswillbeverymuchusefultopowerelectronicsengineers,sincethetechniqueisverysimpleandcomputationallyefficientandeasilyapplicableinpreciseapplicationssuchasaerospaceapplications.
简介:Thispaperisconcernedwithanoptimalcontrolproblemofanablation-transpirationcoolingcontrolsystemwithStefan-Signoriniboundarycondition.Asthecontinuationoftheauthors'previouspaper,theDubovitsRii-MilyutinfunctionalapproachisagainadoptedininvestigationofthePontryagin'smaximunprincipleofthesystem.Thenecessaryoptimalityconditionispresentedfortheproblemwithfreefinalhorizonandphaseconstraints.
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:Delay-dependentrobustH-infinitycontrolfordiscrete-timeTakagi-Sugeno(T-S)fuzzysystemswithintervaltime-varyinginputdelayisconsidered.ByconstructinganewLyapunov-Krasovskiifunctionalandusingconvexcombinationmethod,adelay-dependentconditionisestablished,underwhichtheresultedclosed-loopsystemsviaafuzzystatefeedbackarerobustasymptoticallystablewithgivenH-infinitynormbound.Then,aniterativealgorithmbasedonthemodifiedSLPMMalgorithmisproposedtosolvethefuzz...
简介:Thispaperproposedadesignmethodfordelay-dependentrobustH-infinityfilteroflinearsystemswithuncertaintyandtime-varyingintervaldelay.Theproposedmethodwasshowntobemuchsimplerthanexistingoneswhilegivingsignificantimprovementtotheexistingresults.ThekeystepinthemethodwastoconstructaspecialtypeofLyapunovfunctionalforthefilterdesignproblem.Unliketheexistingtechniques,theproposedmethodemployedneitherfreeweightingmatricesnoranymodeltransformation,le...
简介:Frictiondragprimarilydeterminesthetotaldragoftransportsystems.ApromisingapproachtoreducedragathighReynoldsnumbers(>104)areactivetransversalsurfacewavesincombinationwithpassivemethodslikearibletsurface.Fortheapplicationintransportationsystemswithlargesurfacessuchasairplanes,shipsortrains,alargescaledistributedreal-timeactuatorandsensornetworkisrequired.Thisnetworkisresponsibleforprovidingconnectionsbetweenaglobalflowcontrolanddistributedactuatorsandsensors.ForthedevelopmentofthisnetworkweestablishedatfirstasmallscalenetworkmodelbasedonSimulinkandTrueTime.TodeterminetimescalesfornetworkeventsondifferentpackagesizeswesetupaRaspberryPibasedtestbedasaphysicalrepresentationofourfirstmodel.Thesetimescalesarereducedtotimedifferencesbetweenthedeterministicnetworkeventstoverifythebehaviorofourmodel.Experimentalresultswereimprovedbysynchronizingthetestbedwithsufficientprecision.Withthisapproachweassurealinkbetweenthelargescalemodelandthelaterconstructedmicrocontrollerbasedreal-timeactuatorandsensornetworkfordistributedactiveturbulentflowcontrol.
简介:Inthispaper,indirectadaptivestatefeedbackcontrolschemesaredevelopedtosolvetherobustfault-tolerantcontrol(FTC)designproblemofactuatorfaultandperturbationcompensationsforlineartime-invariantsystems.Amoregeneralandpracticalmodelofactuatorfaultsispresented.Whilebotheventualfaultsonactuatorsandperturbationsareunknown,theadaptiveschemesareaddressedtoestimatethelowerandupperboundsofactuator-stuckfaultsandperturbationsonline,aswellastoestimatecontroleffectivenessonactuators.Thus,onthebasisoftheinformationfromadaptiveschemes,anadaptiverobuststatefeed-backcontrollerisdesignedtocompensatetheeffectsoffaultsandperturbationsautomatically.AccordingtoLyapunovstabilitytheory,itisshownthattherobustadaptiveclosed-loopsystemscanbeensuredtobeasymptoticallystableundertheinfluenceofactuatorfaultsandboundedperturbations.Anexampleisprovidedtofurtherillustratethefaultcompensationeffectiveness.