简介:Thereentrytrajectoryplanningforhypersonicvehiclesiscriticalandchallenginginthepresenceofnumerousnonlinearequationsofmotionandpathconstraints,aswellasguaranteedsatisfactionofaccuracyinmeetingallthespecifiedboundaryconditions.Inthelasttenyears,manyresearchershaveinvestigatedvariousstrategiestogenerateafeasibleoroptimalconstrainedreentrytrajectoryforhypersonicvehicles.Thispaperbrieflyreviewsthenewresearcheffortstopromotethecapabilityofreentrytrajectoryplanning.Theprogressoftheonboardreentrytrajectoryplanning,reentrytrajectoryoptimization,andlandingfootprintissummarized.Themainchallengesofreentrytrajectoryplanningforhypersonicvehiclesareanalyzed,focusingontherapidreentrytrajectoryoptimization,complexgeographicconstraints,andcooperativestrategies.
简介:Inthispaper,weaddressabasicproductionplanningproblemwithpricedependentdemandandstochasticyieldofproduction.Weusepriceandtargetquantityasdecisionvariablestolowertheriskoflowyield.Thevalueofriskcontrolbecomesmoreimportantespeciallyforproductswithshortlifecycle.Thisisbecause,theprofitimplicationsoflowyieldmightbeunbearableintheshortrun.WeapplyConditionalValueatRisk(CVaR)tomodelthe.risk.CVaRmeasureisacoherentriskmeasureandtherebyhavingniceconceptualandmathematicalunderpinnings.Itisalsowidelyusedinpractice.Weconsidertheproblemundergeneraldemandfunctionandgeneraldistributionfunctionofyieldandfindsufficientconditionsunderwhichtheproblemhasauniquelocalmaximum.Wealsobothanalyticallyandnumericallyanalyzetheimpactofparameterchangeontheoptimalsolution.Amongourresults,weanalyticallyshowthatwithincreasingriskaversion,theoptimalpriceincreases.ThisrelationisoppositetothatofinNewsvendorproblemwheretheuncertaintyliesindemandside.
简介:在一种紧急情况状况期间改进survivability,为飞机的一个算法强迫了登陆轨道计划被建议。方法集成计划进一个最佳的控制框架的损坏飞机建模和轨道。以便处理复杂飞机飞行动力学,解决的策略基于高斯pseudospetral方法(GPM)被介绍。A3-DOF考虑风的非线性的集体点的模型被开发接近在损失以后的飞机飞行动力学推进。答案最小化强迫的登陆持续时间,关于翻译改变的动力学,飞行信封限制和运作的安全要求的限制。GPM被用来变换计划问题到一个非线性的编程问题(NLP)的轨道,它被顺序的二次的编程算法解决。模拟结果证明建议算法能在事件产生最小时间的强迫的登陆轨道发动机外面与高效率和精确。
简介:AccordingtoNHFPCwebsite,tostrengthenmoralconstructionofmedicalandhealthcareindustry,promotepracticesinaccordancewiththelawandadvocatehonestmedicalpractices,NationalHealthandFamilyPlanningCommission(NHFPC)andStateAdministrationofTraditionalChineseMedicinejointlyreleasedinDecember26,2013'NineProhibitionsto
简介:Thispaperdescribespathre-planningtechniquesandunderwaterobstacleavoidanceforunmannedsurfacevehicle(USV)basedonmulti-beamforwardlookingsonar(FLS).Near-optimalpathsinstaticanddynamicenvironmentswithunderwaterobstaclesarecomputedusinganumericalsolutionprocedurebasedonanAalgorithm.TheUSVismodeledwithacircularshapein2degreesoffreedom(surgeandyaw).Inthispaper,two-dimensional(2-D)underwaterobstacleavoidanceandtherobustreal-timepathre-planningtechniqueforactualUSVusingmulti-beamFLSaredeveloped.Ourreal-timepathre-planningalgorithmhasbeentestedtoregeneratetheoptimalpathforseveralupdatedframesinthefieldofviewofthesonarwithaproperupdatefrequencyoftheFLS.Theperformanceoftheproposedmethodwasverifiedthroughsimulations,andseaexperiments.Forsimulations,theUSVmodelcanavoidbothasinglestationaryobstacle,multiplestationaryobstaclesandmovingobstacleswiththenear-optimaltrajectorythatareperformedbothinthevehicleandtheworldreferenceframe.Forseaexperiments,theproposedmethodforanunderwaterobstacleavoidancesystemisimplementedwithaUSVtestplatform.TheactualUSVisautomaticallycontrolledandsucceededinitsreal-timeavoidanceagainstthestationaryunderseaobstacleinthefieldofviewoftheFLStogetherwiththeGlobalPositioningSystem(GPS)oftheUSV.