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Matrix-weighted consensus with leader-following topologies

Trinh, Minh H; Ye, Mengbin; Ahn, Hyo-Sung; Anderson, Brian

Description

In 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.

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.identifier.isbn978-1-5090-1573-3
dc.identifier.urihttp://hdl.handle.net/1885/205545
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.
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-2017R1A2B3007034
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherIEEE
dc.relation.ispartofseries2017 11th Asian Control Conference (ASCC)
dc.rights© 2017 IEEE
dc.sourceProceedings-2017 11th Asian Control Conference (ASCC)
dc.titleMatrix-weighted consensus with leader-following topologies
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2017
local.identifier.absfor090602 - Control Systems, Robotics and Automation
local.identifier.ariespublicationu5786633xPUB257
local.publisher.urlhttps://www.ieee.org/
local.type.statusAccepted Version
local.contributor.affiliationTrinh, Minh H, Gwangju Institute of Science and Technology
local.contributor.affiliationYe, Mengbin, College of Engineering and Computer Science, ANU
local.contributor.affiliationAhn, Hyo-Sung, Gwangju Institute of Science and Technology
local.contributor.affiliationAnderson, Brian, College of Engineering and Computer Science, ANU
dc.relationhttp://purl.org/au-research/grants/arc/DP160104500
local.bibliographicCitation.startpage1795
local.bibliographicCitation.lastpage1800
local.identifier.doi10.1109/ASCC.2017.8287446
local.identifier.absseo810104 - Emerging Defence Technologies
dc.date.updated2020-01-19T07:35:51Z
local.identifier.scopusID2-s2.0-85047445756
dcterms.accessRightsOpen Access
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)
CollectionsANU Research Publications

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