简介:一个双线性的差错察觉观察员为单个双线性的系统使遭到到未知输入骚乱和差错的连续时间的一个班被建议。由原来的系统上的单个值分解,一个双线性的差错察觉观察员经由一个代数学的Riccati方程为分解系统被建议,并且州的评价错误的吸引力的域被估计。一个设计过程被介绍决定差错察觉阀值。灵活联合机器人的一个模型被用来表明建议方法的有效性。关键词单个双线性的系统(SBS)-双线性的观察员-差错察觉-州的评价-吸引力的领域这个工作被中国的国家性质科学基础部分地支持(号码60325311,60534010,60572070),为中国(号码60521003)和为Changjiang学者和创新研究的程序的有创造性的研究组的资金在大学里联合(没有。IRT0421)。王占山在1971在辽宁出生了。他在2001从Fushun石油研究所在控制理论和控制工程收到了主人学位。他现在是沈阳Ligong大学里的一个讲师并且在东北大学里追求博士。他的研究兴趣在差错诊断,指责周期性的神经网络的容忍的控制和稳定性。张华光在1959在吉林出生了。他在1991从东南的大学收到了博士。现在他是东北大学里的一个教授。他的研究兴趣包括周期性的神经网络的模糊控制,进程控制,非线性的控制和动力学。
简介:Theobjectiveofthisstudyistoidentifysystemparametersfromtherecordedresponseofbaseisolatedbuildings,suchasUSChospitalbuilding,duringthe1994Northridgeearthquake.Fullstatemeasurementsarenotavailableforidentification.Additionally,theresponseisnonlinearduetotheyieldingofthelead-rubberbearings.Twonewapproachesarepresentedinthispapertosolvetheaforementionedproblems.First,areducedorderobserverisusedtoestimatetheunmeasuredstates.Second,aleastsquarestechniquewithtimesegmentsisdevelopedtoidentifythepiece-wiselinearsystemproperties.Theobserverisusedtoestimatetheinitialconditionsneededforthetimesegmentedidentification.Aseriesofequivalentlinearsystemparametersareidentifiedindifferenttimesegments.Itisshownthatthechangeinsystemparameters,suchasfrequenciesanddampingratios,duetononlinearbehaviorofthelead-rubberbearings,arereliablyestimatedusingthepresentedtechnique.Itisshownthattheresponsewasreducedduetoyieldingofthelead-rubberbearingsandperiodlengthening.
简介:Themainfocusisnonlinearmodel-baseddynamicpositioning(DP)controlsystemdesign.Anonlinearuniformglobalexponentialstability(UGES)observerproducesnoise-freeestimatesoftheposition,theslowlyvaryingenvironmentaldisturbancesandthevelocity,whichareusedinaproportional-derivative(PD)+feedforwardcontrollaw.Thestabilityofthisobserver-controllersystemisprovedbyintroducingaspecificnonlinearcascadedsystem.ThesimulationresultshavesuccessfullydemonstratedtheperformanceofdesignedDPcontrolsystem.
简介:Giantmagnetostrictiveactuators(GMAs)oftenworkinaclose-loopfeedbacksystem.Thissystemneedsindependentsensorswhichmaybedifficulttobefixed,besides,excessivesensorsmaycausemoreunpredictedproblemsinalargesystem.Thispaperaimstodevelopaself-sensingGMA.Anobserverbasedonpiezomagneticequationsisconstructedtoestimatethestressandstrainofthemagnetostrictivematerial.Theobserverbasedself-sensingapproachdependsonthefactsthatthemagneticfieldiscontrollableandthatthemagneticinductionismeasurable.Aimingatthenonlinearhysteresisinmagnetization,ahys-teresiscompensationobserverbasedonPreisachmodelisdeveloped.Experimentverifiedtheavailabilityoftheobserverapproach,andthehysteresiscompensationobserverhashighertrackingprecisionthanlinearobserverfordynamicforcesensing.
简介:Therobustboundedflightcontrolschemeisdevelopedfortheuncertainlongitudinalflightdynamicsofthefighterwithcontrolinputsaturationinvokingthebacksteppingtechnique.Toenhancethedisturbancerejectionabilityoftherobustflightcontrolforfighters,theslidingmodedisturbanceobserverisdesignedtoestimatethecompoundeddisturbanceincludingtheunknownexternaldisturbanceandtheeffectofthecontrolinputsaturation.Basedonthebacksteppingtechniqueandthecompoundeddisturbanceestimatedoutput,therobustboundedflightcontrolschemeisproposedforthefighterwiththeunknownexternaldisturbanceandthecontrolinputsaturation.Theclosed-loopsystemstabilityunderthedevelopedrobustboundedflightcontrolschemeisrigorouslyprovedusingtheLyapunovmethodandtheuniformlyasymptoticalconvergencesofallclosed-loopsignalsareguaranteed.Finally,simulationresultsarepresentedtoshowtheeffectivenessoftheproposedrobustboundedflightcontrolschemefortheuncertainlongitudinalflightdynamicsofthefighter.
简介:本文阐述在.Net平台下,利用委托和事件机制实现Observer模式来解决项目开发中遇到的问题.
简介:纸为积极Markovian涉及积极观察员设计跳有部分已知的转变率的系统。由使用一个线性co积极的类型Lyapunov-Krasovskii函数,一个足够的条件被建议保证错误的随机的稳定性积极系统和积极观察员的存在,它在线性编程被计算。最后,一个例子被给表明主要结果的有效性。
简介:AnovelH_∞tracking-baseddecentralizedindirectadaptiveoutputfeedbackfuzzycontrollerforaclassofuncertainlarge-scalenonlinearsystemsisdeveloped.Byvirtueoftheproperfilteringoftheobservationerrordynamics,theobserver-baseddecentralizedindirectadaptivefuzzycontrolschemeispresentedforaclassoflarge-scalenonlinearsystemsusingthecombinationofH_∞trackingtechnique,afuzzyadaptiveobserverandfuzzyinferencesystems.Theoutputfeedbackandadaptationmechanismsarebothrobustandimplementableindeedowingtotheirfreedomfromtheunavailableobservationerrorvector.Allthesignalsoftheclosed-looplargescalesystemareguaranteedtostayuniformlyboundedandtheoutputerrorstakeonH_∞trackingperformance.Simulationresultssubstantiatetheeffectivenessoftheproposedscheme.
简介:Acompositedintegratedguidanceandcontrol(IGC)algorithmispresentedtotackletheproblemoftheIGCdesigninthedivephaseforthebank-to-turn(BTT)vehiclewiththeinaccuracyinformationoftheline-of-sight(LOS)rate.Forthesakeoftheoreticalderivation,anIGCmodelinthepitchplaneisestablished.Thehigh-orderfinite-timestateobserver(FTSO),withtheLOSangleasthesingleinput,isemployedtoreconstructthestatesofthesystemonline.Besides,acompositedIGCalgorithmispresentedviathefusionofback-steppinganddynamicinverse.ComparedwiththetraditionalIGCalgorithm,theproposedcompositedIGCmethodcanattenuateeffectivelythedesignconservationoftheflightcontrolsystem,whiletheLOSrateismixedwithnoise.Extensiveexperimentshavebeenperformedtodemonstratethattheproposedapproachisgloballyfinite-timestableandstronglyrobustagainstparameteruncertainty.