Synchronization Conditions for a Multirate Kuramoto Network With an Arbitrary Topology and Nonidentical Oscillators

dc.contributor.authorWu, Liang
dc.contributor.authorPota, Hemanshu R.
dc.contributor.authorPetersen, Ian
dc.date.accessioned2020-01-24T03:18:53Z
dc.date.issued2018
dc.date.updated2019-11-25T07:24:01Z
dc.description.abstractThis paper presents methods to find a positively invariant set (PIS) and derive conditions on the edge weights for a multirate Kuramoto oscillator network to achieve synchronization. These methods can be applied to a network with an arbitrary topology and nonidentical oscillators. The proposed methods are based on the construction of energy functions for this type of network. Two different conditions on the edge weights are provided by using graph spectral properties, or alternatively by analyzing a path set of a graph. These methods provide flexibility in checking the edge weight conditions. We further improve the estimate of the PIS for the multirate Kuramoto network when its damping coefficients are greater than a certain value. The effectiveness and conservativeness of the proposed methods are demonstrated by simulation studies. A comparison with another method from the existing literature shows that our method gives less conservative estimate of the PIS.
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn2168-2267en_AU
dc.identifier.urihttp://hdl.handle.net/1885/199723
dc.language.isoen_AUen_AU
dc.publisherIEEEen_AU
dc.rights© 2018 IEEE.en_AU
dc.sourceIEEE Transactions on Cyberneticsen_AU
dc.titleSynchronization Conditions for a Multirate Kuramoto Network With an Arbitrary Topology and Nonidentical Oscillatorsen_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.issue6en_AU
local.bibliographicCitation.lastpage2254en_AU
local.bibliographicCitation.startpage2242en_AU
local.contributor.affiliationWu, Liang, School of Engineering and Information Technologyen_AU
local.contributor.affiliationPota, Hemanshu R., University of New South Walesen_AU
local.contributor.affiliationPetersen, Ian, College of Engineering and Computer Science, ANUen_AU
local.contributor.authoruidPetersen, Ian, u4036493en_AU
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor090602 - Control Systems, Robotics and Automationen_AU
local.identifier.absseo970109 - Expanding Knowledge in Engineeringen_AU
local.identifier.ariespublicationa383154xPUB9761en_AU
local.identifier.citationvolume49en_AU
local.identifier.doi10.1109/TCYB.2018.2822809en_AU
local.identifier.scopusID2-s2.0-85045652646
local.publisher.urlhttps://www.ieee.org/en_AU
local.type.statusPublished Versionen_AU

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