简介：Finstabilizerswithfin-liftfeedbackcontrolcanshieldthemappingerrorofcalculationbetweenthefinangleandfinliftforce,whichisinthefinstabilizerwithfin-anglefeedbackcontrol.Inpractice,therearesometechnicaldifficultiesinliftfinstabilizers,suchasliftforcedetectionandliftforcesensorinstallation,soitcannotachievethegoodantirollingperformance.Therefore,afinstabilizersystemwithfin-lift/fin-angleintegratedcontrolisbroughtforward.Datafusionbasedonwaveletdenoisingtechnologyisemployedinthesystem,whichcombinesliftwithfinanglelocalinformationfromtwosensorswithdifferentfrequencyrangesinordertoeliminateredundantandcontradictoryinformation,andusingcomplementaryinformationtoobtaintherelativeintegrityoftheliftforcesignal.Thesystemmodelisestablishedinthispaper,andthefusionsignalandtheantirollingperformanceofthismodelaresimulatedrespectively.Theresultshowsthatthecontrolsystemcanmeettheantirollingneedindifferentseasituations.

简介：Arecursiveidentificationmethodisproposedtoobtaincontinuous-timestate-spacemodelsinsystemswithnonuniformlysampled(NUS)data.Duetothenonuniformsamplingfeature,thetimeintervalfromonerecursionsteptothenextvariesandtheparameterisalwaysupdatedpartiallyateachstep.Furthermore,thisidentificationmethodisappliedtoformacombineddatacompressionmethodinNUSprocesses.Thedatatobecompressedarefirstclassifiedwithrespecttoaseriesofpotentiallyexisting(possiblytime-varying)models,andthenmodeledbytheNUSidentificationmethod.Themodelparametersarestoredinsteadoftheidentificationoutputdata,whichmakesthefirstcompression.Subsequently,asthesecondstep,theconventionalswingingdoortrendingmethodiscarriedoutonthedatafromthefirststep.Numericresultsfromsimulationaswellaspracticaldataaregiven,showingtheeffectivenessoftheproposedidentificationmethodandfoldincreaseofcompressionratioachievedbythecombineddatacompressionmethod.

简介：为有未知结构的非线性的系统的一个系统鉴定方法用短输入产量数据被介绍。方法简化原来的NARMAX方法。它为非线性的系统介绍更一般的模型结构。方法被采用获得模型术语的数据处理的组方法(GMDH)；参数。建议方法的有效性被一个典型非线性的系统与未知结构说明；缺乏的输入产量数据。

简介：Inthispaper,thestabilizationproblemforaclassofnetworkedcontrolsystems(NCSs)withdatapacketdropoutsandtransmissiontimedelaysisconsidered,wherethedelaysaretime-varyinganduncertain,thedatapacketdropoutismodeledasatwo-stateMarkovchain.Tocompensatethelostpacket,adatapacketdropoutcompensatorisestablished.ThusamorerealisticmodelforsuchNCSsispresented.Sufficientconditionsforthestabilizationofthenewresultingsystemarederivedintheformoflinearmatrixinequalities(LMIs).Numericalexampleillustratesthesolvabilityandeffectivenessoftheresults.

简介：一个抑制模型为与数据包退学学生一起的联网的控制系统的预兆的控制(MPC)算法在这篇论文被建议。一个缓冲区被设计存储在控制器和致动器之间的预言的控制顺序。MPC的控制地平线是否是，被看那不少于数据包的数字连续地输了，在起始的时间的MPC的可行性暗示靠近环的系统的asymptotical稳定性。一个模拟例子说明建议途径的有效性。

简介：这篇论文与导致网络的延期和播送数据退学学生的存在处理联网的控制系统的随机的稳定性。基于Lyapunov途径，为联网的控制系统的吝啬平方的稳定性的足够的条件是传播间隔的顺序被开车由的导出的题目一独立地相等散布了顺序并且由一个有限状态，Markov分别地锁住。稳定控制器相应地以线性矩阵不平等被构造。一个例子被提供说明我们的结果。

简介：Thispaperinvestigatestheproblemofglobaloutputfeedbackstabilizationforaclassoffeedforwardnonlinearsystemsvialinearsampled-datacontrol.Tosolvetheproblem,wefirstconstructalinearsampled-dataobserverandcontroller.Then,ascalinggainisintroducedintotheproposedobserverandcontroller.Finally,weusethesampled-dataoutputfeedbackdominationapproachtofindtheexplicitformulaforchoosingthescalinggainandthesamplingperiodwhichrenderstheclosed-loopsystemgloballyasymptoticallystable.Asimulationexampleisgiventodemonstratetheeffectivenessoftheproposeddesignprocedure.