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:[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:Modelreferenceadaptivecontrolofcontinuous-timesystemswithanunknowninputdead-zone,Modelreferenceadaptivecontrolofnon-linearmultivariablesystemsusinganinteractorstructureestimation,Modelreferenceadaptivecontrolofsynchronousmachinespeedviamodel-updatingconcept,ModelReferenceAdaptiveControlusingDelta-operatorwithNeuralNetworkforPneumaticServoSystem.
简介:Robustadaptivepathfollowingofunder-actuatedships.RobustAdaptiveStabilizationforTimeVaryingUncertainNonlinearSystemswithUnknownControlCoefficients,Robustadaptivetrackingfortime-varyinguncertainnonlinearsystemswithunknowncontrolcoefficients,Robustandadaptivepathfollowingforunderactuatedautonomousunderwatervehicles.Smoothshiftcontrolofautomatictransmissionsusingarobustadaptiveschemewithintelligentsupervision.
简介:[篇名]Acontrollertocompensatevoltagesags,unbalanceandharmonicdistortionusingaseriesactivefilter,[篇名]AMethodofSimpleAdaptiveControlforMIMONonlinearContinuous-TimeSystemsUsingMultifractionNeuralNetwork,[篇名]Amodulararchitectureforformationcontrol,[篇名]AMultivariableRobustModelReferenceAdaptiveControllerusingaModifiedLeast-SquaresAlgorithm,[篇名]ANewRobustAdaptiveControlSchemeforLinearTimeVaryingPlants,[篇名]Anoveldual-axisrepulsivemaglevguidingsystemwithpermanentmagnet:modelingandcontrollerdesign,[篇名]ASUPERVISEDDISCRETEADAPTIVECONTROLSCHEMEWITHMULTIESTIMATION。
简介:Advancesinresistanceweldingforbody-in-white.AnacceleratedGauss-Seidelmethodforinversemodeling,ApplicationoftheRTNNmodelforasystemidentification,predictionandcontrol.Controlstructureofstabilizingcontrollerfortheminimumphasesystemsanddesignmethodofadaptivecontrolsystems.DevelopmentofdatabaseandFEMassistedintelligentcontrolpressformingsystem.
简介:摘要:本研究致力于探索基于自适应控制理论的智能机器人运动规划。通过整合先进的感知技术、决策算法和自适应控制策略,专业技术人员设计并实现了一套能够在复杂和动态环境中有效执行任务的机器人运动规划系统。该系统不仅能够实时感知环境信息,还能根据任务需求和环境变化动态调整其控制策略。通过研究表明,这些方法显著提高了机器人的运动性能和适应性,为其在现实世界中的应用打下了坚实的基础。