简介:HarmonicMinimizingNeuralNetworkSVCControllerforCompensatingUnbalancedFluctuatingLoads;ImplementationofanAdaptivePredictor-CorrectorNeuralControllerwithintheNASAIFCSF-15WVUSimulator;NeuralNetworkAdaptiveControlofaSpacePlatform-BasedDeployableManipulator;Neuralnetworkcontroldesignforarigid-linkelectricallydrivenrobot;Neuralnetworkcontrolfordynamicvoltagerestorer;NeuralNetworkControlofAir-to-FuelRatioinaBi-FuelEngine;Neuralnetworkcontrolofcoldflowcirculatingfluidizedbed;Neuralnetworkcontrolofmultlvariableprocesseswithafastoptimisationalgorithm。
简介:AHamilton-JacobiSetupforConstrainedNeuralNetworkControl,ANEURALNETWORKCONTROLBASEDOBSERVERFORROBOTMANIPULATORS,Aneuro-controllerwithguaranteedstability,AnewRBFneuralnetworkcontrolstrategybasedonnewobjectfunction,ANovelNeuralNetworkControllerandItsEfficientDSPImplementationforVector-ControlledInductionMotorDrives……
简介:Adaptivefuzzy-neural-networkcontrolforinductionspindlemotordrive.AdaptiveNeuralNetworkControlofNonlinearSystemswithUnknownTimeDelays.ApplicationofNeuralNetworksinInjectionMouldingProcessControl.ApplicationoftheNeuralNetworkforaHydraulicMotor/LoadSystem(3rdReport,AnImprovementofSteadyStateErrorUsingDither).Attitudecontrolofareentryvehiclewithinternaldynamics.
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:Remarksonadaptiveneuralnetworkcontrollerusingreferencemodel,Revolutioncontrolofgeneratordieselenginebyneuralnetworkcontroller,Robustneuralnetworkcontrollerforvariableairflowvolumesystem,Selftuningneuralnetworkcontrollerforinductionmotordrives,Self-OrganizingNeural-BasedFuzzyControllerforTransientStabilityofMultimachinePowerSystemsUsingFlywheelBattery……
简介:Evolutionofaneuralnetworkforgaitanimation.Experimentalevaluationofanovelswitchcontrolschemetbranactivepowerlineconditioner.Fuzzylogicdecisionmechanismcombinedwithaneuro-controllerforfabrictensioninrobotizedsewingprocess,Hybridsteppingmotorpositionservosystemwithon-linetrainedfuzzyneuralnetworkcontroller.
简介:Aneuralnetworkcontrollerforsuppressionofwingrock;Aneuralnetworkpredictivecontrolsystemforpapermillwastewatertreatment;APIDneuralnetworkcontroller;Anartificialneuralnetworkapproachformotioncontrolofamagneticdiskdrivevoicecoilmotor;Aninternalmodelcontrolstrategyusingartificialneuralnetworksforaclassofnonlinearsystems;2002IEEEInternationalConferenceonSystems,ManandCybernetics(SMC02),vol.5:BridgingtheDigitalDivide-Cyber-development,HumanProgress,PeaceandProsperity;AutomaticGenerationControlforPowerSystemwithSMESbyUsingNeuralNetworkController;Chaoticsystemcontrolconsideringedgeofchaosusingneuralnetwork;DesignandimplementationofindustrialneuralnetworkcontrollerusingBackstepping;
简介:在双闭环直流调速系统中采用了一种采用单个神经元的自适应控制方案,此方案将克服传统双闭环直流调速系统的缺陷,使系统具有很好的动、静性能和强鲁棒性。神经元是神经网络的微处理单元,由神经元构成的控制器结构简单新颖、经济实用,并可实现系统无模型控制。控制器具有自组织、自学习能力和强鲁棒性,其品质优于常规控制器。
简介:摘要: 常规 PID控制是工业控制中经常使用的控制方法。 BP神经网络控制的方法可以使控制器具有较好的自适应性,可以实现参数自动调整。本文主要设计了常规 PID控制系统和 基于BP神经网络的 PID控制的温室控制系统,通过 MATLAB对两者进行仿真对比, BP神经网络控制系统对不同的对象具有适应性、控制效果更好。
简介:常规PID控制是工业控制中经常使用的控制方法。BP神经网络控制的方法可以使控制器具有较好的自适应性,可以实现参数自动调整。本文主要设计了常规PID控制系统和基于BP神经网络的PID控制的温室控制系统,通过MATLAB对两者进行仿真对比,BP神经网络控制系统对不同的对象具有适应性、控制效果更好。