简介:Theguaranteedcostcontrolproblemfornetworkedcontrolsystems(NCSs)isaddressedundercommunicationconstraintsandvaryingsamplingrate.Firstofall,asimpleinformation-schedulingschemeispresentedtodescribetheschedulingapproachofsystemsignalsinNCSs.Then,basedonsuchaschemeandgivensamplingmethod,thedesignprocedureindynamicoutputfeedbackmannerisalsoderivedwhichrenderstheclosedloopsystemtobeasymptoticallystableandguaranteesanupperboundoftheLQperformancecostfunction.
简介:Apathfollowingcontrollerisdevelopedforunderactuatedshipswithonlysurgeforceandyawmomentavailabletofollowapredefinedpath.Theproposedcontrollerisbasedonnonswitchanalyticmodelpredictivecontrol.Itisshownthattheoptimalcontrollawforanonlinearpathfollowingsystemwithill-definedrelativedegreeiscontinuousandnonsingular.Theproblemofill-definedrelativedegreeissolved.Thepath-followingabilityofthenonlinearsystemisguaranteed.Numericalsimulationsareprovidedtodemonstratetheeffectivenessoftheproposedcontrollaw.
简介:Inthispaper,anactivefaultaccommodatestrategyisproposedfortheplantinthepresenceofactuatorfaultandinputconstraints,whichisacombinationofadirectadaptivecontrolalgorithmwithmultiplemodelswitching.Theμ-modificationisintroducedinthemodelreferencearchitecturetoconstructtheadaptivecontroller.TheproofofstabilityisbasedonthecandidateLyapunovfunction,whileappropriateswitchingofmultiplemodelsguaranteesasymptotictrackingofthesystemstatesandtheboundednessofallsignals.Simulationresultsillustratetheefficiencyoftheproposedmethod.
简介:一个柔韧的适应控制计划基于backstepping设计与两个未知控制方向和非对称的死了地区的非线性在严格的反馈形式为不明确的非线性的系统的一个类被建议。死了地区的斜坡和边界相等、对称的条件被简化非线性的死了地区的输入模型,移开要知道的控制方向的priori知识被利用Nussbaum类型获得技术和神经网络(NN)消除的假设近似能力。可能的控制器奇特问题和死了地区的输入非线性的效果被把不可分的Lyapunov设计与滑动模式控制策略相结合完美地避免。在靠近环的系统的所有信号被保证到最终一致地半全球性被围住,系统的追踪的错误被证明被集成到起源的一位小邻居。模拟结果表明建议控制计划的有效性。
简介:Todaythehighqualitypowersupplyisofessentialintheeconomicdevelopmentinacountry.Withthedevelopmentofmodempowersystemsandincreasingdemandforpowersupply,theelectricpowerindustryisfacingagreatchallengeinmeetingtheincreasedloaddemandwithhighestreliabilityandsecuritywithminimumtransmissionexpenditure.
简介:ThispaperdiscussesH-infinitystatefeedbackcontrolforanetworkedcontrolsystemwithtime-varyingdelays.Basedonthefree-weighingmatrixmethod,adelay-dependentstabilitycriterionsatisfyingaprescribedH-infinitynormboundispresentedforanNCSwithunknown,time-varyingandboundeddelays.Andthen,thecriterionistransformedintosufficientconditionsbasedonlinearmatrixinequalitiesforH-infinitycontrol.TheconditionsthusobtainedarealsousedtodesignanH-infinitystatefeedbackcontroller.ThisdesignmethodisfurtherextendedtosolvethedesignproblemofrobustH-infinitystatefeedbackcontrol.Anumericalexampledemonstratesthevalidityofthemethod.
简介:在加热,通气并且空气调节(HVAC)系统,在那里存在严重非线性,变化时间的性质,骚乱和无常。新预兆的功能的控制基于Takagi-Sugeno(T-S),模糊模型被建议控制HVAC系统。稳定的控制过程的T-S模糊模型用最少的广场方法被获得,然后,根据从T-S模糊模型,的全球线性预兆的模型,这个过程被预兆的功能的控制器控制。特别反馈规定部分被开发补偿模糊预兆的模型的无常。最后,在HVAC系统控制应用程序的模拟测试结果证明预兆的功能的控制改进追踪的建议模糊模型完成并且坚韧性。与常规PID控制器相比,这控制策略有更少的优点射并且更短的背景时间,等等。关键词T-S模糊模型-预兆的功能的控制-最少的广场方法-HVAC系统这个工作被中国(号码031B5147)的山东省的年轻科学家基本研究节目支持。收到的HongliL眉她在在2000的数学的学士,和在从Qufu师范大学的在2003的控制理论的硕士分别地。自从2003年8月,她是控制科学和工程学校的一个博士候选人,山东大学。自从2006年3月,她是EEE学校的一个访问学者,Nanyang工艺的大学。她的搜索兴趣包括模糊控制系统理论和应用程序,为预兆的控制建模,非线性的multivariable控制系统,等等。花环JIA当前是控制科技的学院的头,山东大学,中国。他收到了B.Eng。在自动化的度和在从山东工业大学设计的控制的M.Eng学位,中国在1982和1988,分别地,并且在来自浙江大学的控制理论和控制工程的博士学位,中国,在1991。正弦1995,他是在山东的一个教授大学。他的当前的研究兴趣包括人工的聪明、聪明的控制,柔韧的控制,非线性的进程控制理论和应用程序。ShulanKONG是在数学科学的学校的一个副教授,Qufu师范大学。她分别地在1995和2004从Qufu师范大学和山东
简介:这篇论文与致动器浸透为线性交换系统涉及控制器合成。基于普通Lyapunov功能技术;multiple-Lyapunov功能技术,为设计州的反馈控制器的二个方法与浸透为交换系统以线性矩阵不平等分别地被建议。扩大吸引人的领域的一条途径然后被调查。介绍途径的申请被一个数字例子最后说明。
简介:Itisveryimportanttomaintainthelevelofmeanarterialpressure(MAP).TheMAPcontrolisappliedinmanyclinicalsituations,includinglimitingbleedingduringcardiacsurgeryandpromotinghealingforpatient'spost-surgery.Thispaperpresentsafuzzycontroller-basedmultiple-modeladaptivecontrolsystemforpostoperativebloodpressuremanagement.Multiple-modeladaptivecontrol(MMAC)algorithmisusedtoidentifythepatientmodel,anditisafeasiblesystemidentificationmethodeveninthepresenceoflargenoise.Fuzzycontrol(FC)methodisusedtodesigncontrollerbank.Eachfuzzycontrollerinthecontrollerbankisinfactanonlinearproportional-integral(PI)controller,whoseproportionalgainandintegralgainareadjustedcontinuouslyaccordingtoerrorandrateofchangeoferroroftheplantoutput,resultinginbetterdynamicandstablecontrolperformancethantheregularPIcontroller,especiallywhenanonlinearprocessisinvolved.Fordemonstration,anonlinear,pulsatile-flowpatientmodelisusedforsimulation,andtheresultsshowthattheadaptivecontrolsystemcaneffectivelyhandlethechangesinpatient'sdynamicsandprovidesatisfactoryperformanceinregulationofbloodpressureofhypertensionpatients.
简介:Arobustadaptiverepetitivelearningcontrolmethodisproposedforaclassoftime-varyingnonlinearsystems.Nussbaum-gainmethodisincorporatedintothecontroldesigntocounteractthelackofaprioriknowledgeofthecontroldirectionwhichdeterminesthemotiondirectionofthesystemunderanyinput.Itisshownthatthesystemstatecouldconvergetothedesiredtrajectoryasymptoticallyalongtheiterationaxisthroughrepetitivelearning.Simulationiscarriedouttoshowthevalidityoftheproposedcontrolmethod.
简介:Recently,switchedcontrolsystemshavebeenattractingmuchattentionmthecontrolcommunitybecausetheproblemsarenotonlyacademicallychallengingfortheinherentcomplexity,butalsoofpracticalimportanceduetoitswiderangesofapplicationsinnature,engineering,andsocialsciences.