Consensus of Multi-Agent Systems With General Linear and Lipschitz Nonlinear Dynamics Using Distributed Adaptive Protocols

Consensus of Multi-Agent Systems With General Linear and Lipschitz Nonlinear Dynamics Using Distributed Adaptive Protocols

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时间:2019-07-01

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1、1786IEEETRANSACTIONSONAUTOMATICCONTROL,VOL.58,NO.7,JULY2013TechnicalNotesandCorrespondenceConsensusofMulti-AgentSystemsWithGeneraltotherecentsurveys[1],[2]forarelativelycompletecoverageoftheLinearandLipschitzNonlinearDynamicsliteratureonconsensus.UsingDistributed

2、AdaptiveProtocolsThistechnicalbriefconsidersthedistributedconsensusproblemsformulti-agentsystemswithgenerallinearandLipschitznonlinearZhongkuiLi,Member,IEEE,WeiRen,Member,IEEE,dynamics.Consensusofmulti-agentsystemswithgenerallinearXiangdongLiu,andMengyinFudynamic

3、swaspreviouslystudiedin[13]–[17].Inparticular,differentstaticanddynamicconsensusprotocolsaredesignedin[13]–[15],requiringthesmallestnonzeroeigenvalueoftheLaplacianmatrixassociatedwiththecommunicationgraphtobeknownbyeachAbstract—Thistechnicalbriefconsidersthedistr

4、ibutedconsensusprob-lemsformulti-agentsystemswithgenerallinearandLipschitznonlinearagenttodeterminetheboundforthecouplingweight.However,thedynamics.Distributedrelative-stateconsensusprotocolswithanadaptiveLaplacianmatrixdependsontheentirecommunicationgraphandisla

5、wforadjustingthecouplingweightsbetweenneighboringagentsarede-henceglobalinformation.Inotherwords,theseconsensusprotocolssignedforboththelinearandnonlinearcases,underwhichconsensusisin[13]–[15]cannotbecomputedandimplementedbyeachagentinareachedforallundirectedconn

6、ectedcommunicationgraphs.Extensionstofullydistributedfashion,i.e.,usingonlylocalinformationofitsownthecasewithaleader-followercommunicationgrapharefurtherstudied.Incontrasttotheexistingresultsintheliterature,theadaptiveconsensusandneighbors.Totacklethisproblem,we

7、proposehereadistributedprotocolsherecanbeimplementedbyeachagentinafullydistributedconsensusprotocolbasedontherelativestatescombinedwithanfashionwithoutusinganyglobalinformation.adaptivelawforadjustingthecouplingweightsbetweenneighboringIndexTerms—Adaptivelaw,cons

8、ensus,Lipschitznonlinearity,agents,whichispartlyinspiredbytheedge-basedadaptivestrategymulti-agentsystem.forthesynchronizationofcomplexnetworksin[18],[19].Thep

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