简介:研究具有反馈控制的单种群对数模型.通过构造适当的Lyapunov函数.我们让得系统的正平衡点是无条件全局稳定的.所得结果补充和完善了已有的结果.
简介:AnExperimentalResearchonActiveControlofVibrationStraininaFlexibleLinkagewithPiezoceramicActuatorsandGageSensors.Applicationsoftheeigenvaluetheoremonapproximateoptimizationsofnonlinearregulators.ApproximationstoOptimalFeedbackControlUsingaSuccessiveWaveletCollocationAlgorithm.ComputationofFeedbackOperatorsforDistributedParameterSystemswithNon-NormalLinearizations.
简介:[篇名]Astudyondomainofattractioninfunctionspaceunderatimedelaysystem-timedelayedfeedbackcontrolofDuffingsystem,[篇名]Activecontrolofsurgeoccurringinacentrifugalcompressor(lst,report,controlofsurgebysmallcontrolvalve),[篇名]ActiveControlofSurgeOccurringinaCentrifugalCompressor(2ndReport,NonlinearControlofSurgebyDelayedFeedback),[篇名]Controllingchaosmethodbyafeedbackofadelayedstate,[篇名]D.F.C.ofQuasi-Passive-Dynamic-WalkingRobotQuartetⅢ,[篇名]DelaycontrolaspectsofthechaoticRosslersystem,[篇名]Delayedfeedbackcontrolofmagneticdomain-wallmotion,[篇名]Differencefeedbackcontrolofchaos。
简介:AComparativeStudyofFeedbackControllerSensitivitytoallOrdersofPMDforaFixedDGDCompensator.Aconstructionofnonlinearservosystembyusingnonlinearplug-inadaptivecontrolscheme.AcontrollerdesignforreferencesignalwiththeN-thpoweroftilne.ALMI-basedSupervisoryRobustControlforHybridVehicles.ALPVApproachtoRobustH{sub}2andH{sub}∞,StaticOutput-FeedbackDesign.
简介:[篇名]AsymptoticTimeOptimalTrackingofaClassofLinearSystemswithActuatorNonlinearities,[篇名]Compositenonlinearfeedbackcontrolforlinearsystemswithinputsaturation:theoryandapplication,[篇名]DesignofanaugmentedautomaticchoosingcontrolbyGAfornonlinearsystemswithconstrainedinput,[篇名]DesignofanaugmentedautomaticchoosingcontrolviaHamiltonianandGAfornonlinearsystemswithconstrainedinput,[篇名]Designofmulti-stagecompositenonlinearfeedbackcontrolforharddiskdrives,[篇名]Discrete-TimeCompositeNonlinearFeedbackControlWithanApplicationinDesignofaHardDiskDriveServoSystem,[篇名]DISTRIBUTEDNONLINEARCONTROLOFDIFFUSION-REACTIONPROCESSES,[篇名]GainAdaptiveNonlinearFeedbackControlofFlexibleSCARA/CartesianRobots。
简介:基于后推设计方法,Nussbaum函数的性质及积分型李亚普诺夫函数,提出了一种自适应神经网络控制器的设计方案。通过引入示性函数,提出一种简化死区模型,取消了死区模型的倾斜度相等的条件。此外,该方法取消了函数控制增益符号已知和死区模型参数上界、下界已知的条件。理论分析证明了闭环系统是半全局一致终结有界。