简介:Inordertoovercomethepoorlocalsearchabilityofgeneticalgorithm,resultinginthebasicgeneticalgorithmistime-consuming,andlowsearchabilityinthelateevolutionary,weusethegraycodinginsteadofbinarycodingatthebeginningofthecoding;weusemulti-pointcrossovertoreplacetheoriginalsingle-pointcrossoveroperation.Finally,theexperimentshowsthattheimprovedgeneticalgorithmnotonlyhasastrongsearchcapability,butalsothestabilityhasbeeneffectivelyimproved.
简介:Aimingattheproblemssuchasmorerepeatedlydesignandlongerdesigncycle,inthispaper,thesimilaritytheorywasintroducedtothedesignprocessofthekeystructuresofflotationmachine.TheimpellerandU-shapedtankofflotationmachinesystemwereanalyzedassimilarityunit.Meanwhile,thelevelofsimilarityoftheunitsandthesimilarityofthesystemwerecalculated.BasedontheanalysisoftheimpellerandthesizeofU-shapedtank,thesimilaritycriteriawerederived.Thederivedconclusionsare:(1)Therelationshipbetweenthediameteroftheimpellerandthevolumeofthetankwaspowerfunctionandcalculatedasthesimilaritycriteriaoftheimpeller;(2)TherelationshipbetweentheratiobetweentheU-shapedtank’scross-sectionalareaandimpeller’sdiameterandthevolumeofthetankwaspowerfunctionandcalculatedasthesimilaritycriterionsoftheU-shapedtank.Usingthesimilaritycriterioncombinedwithcomputertechnologyanddatabasetechnologytorealizepartandsystemserializationdesign.Theresultsshowthattheresearchcanavoidrepeatedlydesign,shortendesigncycle,andraisethedesignefficiency.
简介:Opticalmotioncaptureisanincreasinglypopularanimationtechnique.Inthelastfewyears,plentyofmethodshavebeenproposedforkey-frameextractionofmotioncapturedata,anditisacommonmethodtoextractkey-frameusingquaternion.Here,onemaindifficultyisduetothefactthatpreviousalgorithmsoftenneedtomanuallysetvariousparameters.Inaddition,itisproblematictopredefinetheappropriatethresholdwithoutknowingthedatacontent.Inthispaper,wepresentanoveladaptivethreshold-basedextractionmethod.Key-framecanbefoundaccordingtoquaterniondistance.Weproposeasimpleandefficientalgorithmtoextractkey-framefromamotionsequencebasedonadaptivethreshold.Itisconvenientwithnoneedtopredefineparameterstomeetcertaincompressionratio.Experimentalresultsofmanymotioncaptureswithdifferenttraitsdemonstrategoodperformanceoftheproposedalgorithm.Ourexperimentsshowthatonecantypicallycutdowntheprocessofextractionfromseveralminutestoacoupleofseconds.
简介:IntelligentControlofanAnaerobicDigester:Fuzzy-basedgainschedulingforageometricalapproach,Intelligentcontrolofanupperextremityhandorthosis,IntelligentControlofAutonomousRobotReactedtoMobileObjectwithImage,Intelligentcontrolofauxiliaryshipsystems,Intelligentcontrolofbuildingstosaveenergy……
简介:ABiologically-InspiredPlatformfortheEvolutionofCommunicationinMulti-AgentSystems.AdesignofevolutionarytuningPIDcontrollers.AHolonicApproachtoReconfiguringReal-TimeDistributedControlSystems.AlightweightapproachforembeddedreconfigurationofFPGAs.AmethodologyformodelingHoloniccontrolsystems.
简介:AdaptiveFuzzyControlofaBelt-DrivenPrecisionPositioningTable;AdaptiveFuzzyControllerWithSlidingSurfaceforVehicleSuspensionControl;AdaptiveHard;SoftControl;Adaptiveintelligentcontrolofeconomicalflowsbystochasticdynamics;Adaptivemodel-basedcontrolofroboticsystemswithahybridapproachcombiningneuralnetworksandfuzzylogic;Adaptiveneuralnetworkbasedapproachforactiveflowcontrol;Adaptive,intelligentcontrolofembeddedapplications;Advancedcontrolofrobotcompliancetasksusinghybridintelligentparadigms。
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.