Event based guaranteed cost consensus for distributed multi-agent systems

dc.contributor.authorZhou, X.
dc.contributor.authorShi, P.
dc.contributor.authorLim, C.C.
dc.contributor.authorYang, C.
dc.contributor.authorGui, W.
dc.date.issued2015
dc.description.abstractTo investigate the energy consumption involved in an event based control scheme, the problem of event based guaranteed cost consensus for distributed multi-agent systems with general linear time invariant dynamics is considered in this paper. A delay system method is used to transform the multi-agent systems into a special delay system based on a sampled-data event triggering mechanism, which only requires supervision of system states at discrete instants. Sufficient conditions to achieve the consensus with guaranteed cost are presented and expressed as a continuous constrained optimization problem with a linear objective function, linear and bilinear matrix inequalities constraints, involving the co-design of the controller gain matrix and event triggering parameters. An illustrative example is given to show the effectiveness of the proposed approach.
dc.description.statementofresponsibilityXiaojun Zhoua, Peng Shib, Cheng-Chew Limb, Chunhua Yanga, Weihua Guia
dc.identifier.citationJournal of the Franklin Institute, 2015; 352(9):3546-3563
dc.identifier.doi10.1016/j.jfranklin.2015.02.012
dc.identifier.issn0016-0032
dc.identifier.issn1879-2693
dc.identifier.orcidShi, P. [0000-0001-6295-0405] [0000-0001-8218-586X] [0000-0002-0864-552X] [0000-0002-1358-2367] [0000-0002-5312-5435]
dc.identifier.orcidLim, C.C. [0000-0002-2463-9760]
dc.identifier.urihttp://hdl.handle.net/2440/126337
dc.language.isoen
dc.publisherElsevier
dc.relation.granthttp://purl.org/au-research/grants/arc/LP140100471
dc.relation.granthttp://purl.org/au-research/grants/arc/DP140102180
dc.rights© 2015 TheFranklin Institute.Published by Elsevier Ltd. All rights reserved
dc.source.urihttps://doi.org/10.1016/j.jfranklin.2015.02.012
dc.titleEvent based guaranteed cost consensus for distributed multi-agent systems
dc.typeJournal article
pubs.publication-statusPublished

Files