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简介:Adissipative-basedadaptiveneuralcontrolschemewasdevelopedforaclassofnonlinearuncertainsystemswithunknownnonlinearitiesthatmightnotbelinearlyparameterized.Themajoradvantageofthepresentworkwastorelaxtherequirementofmatchingcondition,I.e.,theunknownnonlinearitiesappearonthesameequationasthecontrolinputinastate-spacerepresentation,whichwasrequiredinmostoftheavailableneuralnetworkcontrollers.Bysynthesizingastate-feedbackneuralcontrollertonaketheclosed-loopsystemdissipativewithrespecttoaquadraticsupplyrate,thedevelopedcontrolschemeguaranteesthattheL2-gainofcontrolledsystemwaslessthanorequaltoaprescribedlevel.Andthen,itisshownthattheoutputtrackingerrorisuniformlyultimatebounded.Thedesignschemeisillustratedusinganumericalsimulation.
简介:Inmobileadhocnetworks(MANET),nodesmovefreelyandthedistributionofaccessrequestschangesdynamically.Replicaallocationinsuchadynamicenvironmentisasignificantchallenge.Inthispaoer,adynamicadaptivereplicaallocationalgorithmthatcanadapttothenodesmotionisproposedtominimizethecommunicationcostofobjectaccess.Whenchangesoccurintheaccessrequestsoftheobjectorthenetworktopology,eachreplicanodecollectsaccessrequestsfromitsneighborsandmakesdecisionslocallytoexpandreplicatoneighborsortorelinquishthereplica.Thealgorithmdynamicallyadaptsthereplicaallocationschemetoalocaloptimalone.SimulationresultsshowthatouralgorithmsefficientlyreducethecommunicationcostofobjectaccessinMANETenvironment.
简介:AstheProjectionApproximationSubspaceTrackingwithdeflation(PASTd)algorithmissensitivetoimpulsivenoise,animprovedsubspacetrackingalgorithmisproposedandappliedtoblindadaptivemulti-userdetection.SimulationresultsshowthattheimprovedPASTdalgorithmnotonlyremainsthepropertiesoftheconventionalPASTdalgorithm,butalsohasgoodBitErrorRate(BER)performanceinimpulsivenoiseenvironment,thusitcaneffectivelyimprovethesystemperformance.
简介:Apressurizerisoneofimportantequipmentinapressurizedwaterreactorplant.Itisusedtomaintainthepressureofprimarycoolantwithinallowedrangebecausethesharpchangeofcoolantpressureaffectsthesecurityofreactor,therefor,thestudyofpressurizer'spressurecontrolmethodsisveryimportant.Inthispaper,anadaptivefuzzycontrollerispresentedforpressurecontrolofapressurizerinanuclearpowerplant.Thecontrollercanon-linetunefuzzycontrolrulesandparametersbyself-learningintheactualcontrolprocess,whichpossessesthewayofthinkinglikehumantomakeadecision.Thesimulationresultsforapressurizedwaterreactorplantshowthattheadaptivefuzzycontrollerhasoptimumandintelligentcharacteristics,whichprovethecontrolleriseffective.
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简介:Analgorithmforsolvingnonlinearleastsquaresproblemswithgenerallinearinequalityconstraintsisdescribed.Ateachstep,theproblemisreducedtoanunconstrainedlinearleastsquaresprobleminasubspacedefinedbytheactiveconstraints,whichissolvedusingthequasi-Newtonmethod.ThemajorupdateformulaissimilartotheonegivenbyDennis,GayandWelsch(1981).Inthispaper,westatethedetailedimplementofthealgorithm,suchasthechoiceofactiveset,thesolutionofsubproblemandtheavoidanceofzigzagging.Wealsoprovethegloballyconvergentpropertyofthealgorithm.
简介:Conjugategradientmethods.areaclassofimportantmethodsforunconstrainedoptimization,especiallywhenthedimensionislarge.In2001,DaiandLiaohaveproposedanewconjugatecondition,basedonittwononlinearconjugategradientmethodsareconstructed.Withtrustregionidea,thispapergivesaself-adaptivetechniqueforthetwomethods.Thenumericalresultsshowthatthistechniqueworkswellforthegivennonlinearoptimizationtestproblems.
简介:Anadaptivestatisticmodelformobilecommunicationchannelisstudiedandsimulatedinthispaper.Accordingtothemodelparameters,anerrorsequencedescribingthelongbursterrorcharacteristicsofthemobilecommunicationchannelisgeneratedonacomputer.Atestmethodusingthresholdtechniqueispresentedtoverifytheaccuracyoftheadaptivechannelmodel.
简介:半活跃的水坝pers被使用在对还原剂基础隔离土木工程学结构的地震反应。在现在的学习,用可变扩大的一个新半活跃的抑制系统将被调查为适应基础隔离。它使用在系列连接与的一台新奇可变扩大设备(VAD)一被动更潮湿。VAD能够生产多重扩大因素,各相应于一个不同扩大状态。力量从更潮湿根据当前的扩大状态被放大到结构,它经由明确地定制到系统的一个半活跃的控制算法被选择“s唯一的抑制特征。为adaptivebase隔离表明VAD潮湿系统的有效性,数字模拟为三被进行,易于远、近地的地面的七故事的base-isolatedbuildings打手势。结果显示系统能与孤立底的大楼相比在反应完成重要减小没有更潮湿。建议系统也被发现表现很好与相比一典型半活跃更潮湿。
简介:WeproposeaBPNNbasedadaptiveslidingmodecontrolschemeforspeedtrackingofaDCmotorwithunknownsystemnonlinearities.Theinput-outputlinearizationtechniqueisusedtocancelthenonlinearities,andoutputoftheBPNNisincorporatedintothecontrollerintheproposedscheme.ItisshownthattherotorspeedofaDCmotorcanfollowanyarbitrarilyselectedtrajectoriesundervariableloadtorque.Thentheapplicationoftheapproachistestedviacomesimulations.
简介:Itisconcernedwiththeproblemofdisturbanceattenuationwithstabilityforuncertainnonlinearsystemsbyadaptiveoutputfeedback.Byapartial-stateobserverandBacksteppingtechnique,anadaptiveoutputfeedbackcontrollerwasconstructed,whichcansolvethestandardgaindisturbanceattenuationproblemwithinternalstability.