简介:[篇名]Aselftuningpredictivecontrollerbasedoninstantaneouslinearizationusingneuralnetworks,[篇名]Discrete-timeneuro-fuzzyadaptivecontrolbasedondynamicinversionforroboticmanipulators,[篇名]Fuzzyadaptiveoutputtrackingcontrolofaclassofcompositesystems,[篇名]Modelreferencefuzzyadaptivecontrolofdissolvedoxygenconcentration,[篇名]Model-referencefuzzyadaptivecontrolasaframeworkfornonlinearsystemcontrol,[篇名]Multivariablefuzzyadaptivecontrolofnonlinearsystems。
简介:利用大展弦比机翼后缘不同位置上的操纵面进行颤振主动控制,通过将大展弦比机翼简化为包含弯曲和扭转两种模态的悬臂梁结构,根据片条理论,建立包含操纵面运动规律的大展弦比机翼气动弹性方程.由于简化的数值模型与实际模型之间存在一定的误差,通常模型的运动方程包含有不确定参量用来表示建模误差.鲁棒控制方法能够得到一个有效控制器,控制这种带有模型不确定参量的运动方程.文中论述利用鲁棒μ控制方法,研究有两个操纵面大展弦比机翼的鲁棒控制问题.仿真结果表明鲁棒μ控制可以有效地抑制大展弦比机翼的受扰振动,提高颤振临界速度,且两个操纵面共同控制效果比单操纵面显著.
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:[篇名]ADirectAdaptiveControlDesignforNonlinearDiscrete-timeUncertainSystems,[篇名]Adirectadaptivecontrolstrategyformanagingdiabetesmellitus,[篇名]Adaptivecontrolofaerospacestructureswithpersistentdisturbances,[篇名]Adaptiveneural/fuzzycontrolforinterpolatednonlinearsystems,[篇名]Anadvancedneuralnetworktopologyandlearning,appliedforidentificationandcontrolofaD.C.Motor,[篇名]Designoffuzzylogiccontrollerforthefinetuningofweightingparametersofdirectadaptivecontrol,[篇名]DirectAdaptiveControlforNonlinearMatrixSecond-OrderSystemswithTime-VaryingandSign-IndefiniteDampingandStiffnessOperators,[篇名]Fuzzydirectadaptiveslidingmodecontrolofinterconnectedlarge-scalesystems。
简介:[篇名]Amicro-controllerbasedintelligentcontrollerforacompostingplant,[篇名]ADAPTIVENEURO-FUZZYCONTROLLERFORNON-LINEARCHEMICALMIXINGPROCESS,[篇名]Adaptive,intelligentcontrolofembeddedapplications,[篇名]ComparativeAnalysisofIntelligentControllersforHighPerformanceInteriorPermanentMagnetSynchronousMotorDriveSystems,[篇名]Designinganintelligentcontrollerforagent-basedmanufacturingthroughfuzzysystems,[篇名]DevelopmentofIntelligentControllerforElectricBicyclewithLevelingChargingandPracticalBatterySOCTracingAlgorithm,[篇名]Evasionofmultiple,intelligentpursuersinastationary,clutteredenvironment:aharmonicpotentialfieldapproach。
简介:[篇名]AHamilton-JacobiSetupforConstrainedNeuralNetworkControl,[篇名]ANEURALNETWORKCONTROLBASEDOBSERVERFORROBOTMANIPULATORS,[篇名]Aneuro-controllerwithguaranteedstability,[篇名]AnewRBFneuralnetworkcontrolstrategybasedonnewobjectfunction,[篇名]ANovelNeuralNetworkControllerandItsEfficientDSPImplementationforVector-ControlledInductionMotorDrives,[篇名]Asinge-phaseactivepowerfilterwithneuralnetwork-basedcontroller,[篇名]AStudyonNeuralNetworkControlofExplosion-Proof2-LinkPneumaticManipulator,[篇名]Activepowerlineconditionerwithaneuralnetworkcontrolscheme。
简介:0引言随着计算机网络的发展,病毒、黑客、木马等的恶意攻击使网络安全问题日益突出,如何提高网络安全的防御能力越来越受到人们的关注。本文分析了当前计算机网络安全所面临的威胁及影响因素,并针对存在的问题提出了加强网络安全防御能力的对策。网络技术的发展给人们提供了信息交流的平台,实现了信息资源的传播和其亭。但随着计算机网络应用的广泛深入,运行环境也复杂多变,网络安全问题变得越来越突出,所造成的负面影响和严重件不容忽视。病毒、黑客、木马等的恶意攻击,使计算机软件和硬件受到破坏,使计算机网络系统的安全性与可靠性受到非常人的影响,因此需要大力发展网络安全技术,保证网络传输的正常运行。