Matrix-weighted consensus with leader-following topologies

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dc.contributor.authorTrinh, Minh H
dc.contributor.authorYe, Mengbin
dc.contributor.authorAhn, Hyo-Sung
dc.contributor.authorAnderson, Brian
dc.coverage.spatialGold Coast, QLD, Australia
dc.date.accessioned2020-06-25T04:31:50Z
dc.date.created17-20 Dec. 2017
dc.date.issued2017
dc.date.updated2020-01-19T07:35:51Z
dc.description.abstractIn this paper, we report some results on a matrix-weight consensus algorithm. Specifically, the leader-following graph is studied in detail. We study conditions for reaching a consensus in two types of leader-following graphs using the matrix-weighted consensus algorithm. The results will be used to interpret several social behaviors. Simulation results are also provided to vindicate the mathematical analysis.en_AU
dc.description.sponsorshipThe work of M. Ye and B.D.O. Anderson was supported by the Australian Research Council (ARC) under DP-160104500, and by Data61-CSIRO. M. Ye was supported by an Australian Government Research Training Program (RTP) Scholarship. The work of M.H. Trinh and H.-S. Ahn was supported by GIST Research Institute (GRI) and by the National Research Foundation (NRF) of Korea under the grant NRF-2017R1A2B3007034en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.isbn978-1-5090-1573-3en_AU
dc.identifier.urihttp://hdl.handle.net/1885/205545
dc.language.isoen_AUen_AU
dc.provenancehttps://www.ieee.org/publications/rights/author-posting-policy.html..."Authors may post their version of an article as accepted for publication in an IEEE periodical or conference proceedings." from the publisher site (as at 29/06/2020)
dc.publisherIEEEen_AU
dc.relationhttp://purl.org/au-research/grants/arc/DP160104500en_AU
dc.relation.ispartofseries2017 11th Asian Control Conference (ASCC)
dc.rights© 2017 IEEEen_AU
dc.sourceProceedings-2017 11th Asian Control Conference (ASCC)en_AU
dc.titleMatrix-weighted consensus with leader-following topologiesen_AU
dc.typeConference paperen_AU
dcterms.accessRightsOpen Access
local.bibliographicCitation.lastpage1800en_AU
local.bibliographicCitation.startpage1795en_AU
local.contributor.affiliationTrinh, Minh H, Gwangju Institute of Science and Technologyen_AU
local.contributor.affiliationYe, Mengbin, College of Engineering and Computer Science, ANUen_AU
local.contributor.affiliationAhn, Hyo-Sung, Gwangju Institute of Science and Technologyen_AU
local.contributor.affiliationAnderson, Brian, College of Engineering and Computer Science, ANUen_AU
local.contributor.authoremailu8104642@anu.edu.auen_AU
local.contributor.authoruidYe, Mengbin, u5327541en_AU
local.contributor.authoruidAnderson, Brian, u8104642en_AU
local.description.notesImported from ARIESen_AU
local.description.refereedYes
local.identifier.absfor090602 - Control Systems, Robotics and Automationen_AU
local.identifier.absseo810104 - Emerging Defence Technologiesen_AU
local.identifier.ariespublicationu5786633xPUB257en_AU
local.identifier.doi10.1109/ASCC.2017.8287446en_AU
local.identifier.scopusID2-s2.0-85047445756
local.identifier.uidSubmittedByu5786633en_AU
local.publisher.urlhttps://www.ieee.org/en_AU
local.type.statusAccepted Versionen_AU

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