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Asymptotic Stability of Dynamical Networks

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dc.contributor.authorLiu, Tao
dc.contributor.authorHill, David
dc.contributor.authorZhao, Jun
dc.coverage.spatialYantai China
dc.date.accessioned2015-12-10T23:08:52Z
dc.date.createdJuly 22-24 2011
dc.date.issued2011
dc.date.updated2016-02-24T11:03:08Z
dc.description.abstractIn this paper, asymptotic stability of dynamical networks with non-identical nodes is investigated. Networks with fixed and switching topologies are discussed, respectively. Different Lyapunov functions for each individual node are used, and sufficient conditions for both cases are derived to guarantee asymptotic stability of such networks. The stabilizing switching signals are identified by using the convex combination method for networks with switching topology. The results obtained are not only restricted to undirected networks, but also applicable to directed networks. A numerical example of switched network is given to show the effectiveness of the proposed results.
dc.identifier.isbn9789881725592
dc.identifier.urihttp://hdl.handle.net/1885/63288
dc.publisherIEEE Control Systems Society
dc.relation.ispartofseriesChinese Control Conference 2011
dc.sourceChinese Control Conference 2011 proceedings
dc.subjectKeywords: Convex combination method; Directed network; Dynamical networks; M-matrix; Numerical example; Sufficient conditions; Switched networks; Switched system; Switching signals; Switching Topology; Undirected network; Asymptotic stability; Lyapunov functions; S Asymptotic Stability; Dynamical Networks; M-Matrix; Switched Systems; Switching Topology
dc.titleAsymptotic Stability of Dynamical Networks
dc.typeConference paper
local.bibliographicCitation.lastpage933
local.bibliographicCitation.startpage928
local.contributor.affiliationLiu, Tao, College of Engineering and Computer Science, ANU
local.contributor.affiliationHill, David, University of Sydney
local.contributor.affiliationZhao, Jun, Northeastern University, China
local.contributor.authoruidLiu, Tao, u4487942
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor090602 - Control Systems, Robotics and Automation
local.identifier.absseo970109 - Expanding Knowledge in Engineering
local.identifier.ariespublicationu4334215xPUB789
local.identifier.scopusID2-s2.0-80053060815
local.type.statusPublished Version

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