Synchronization of Kuramoto model with anticipatory agents

buir.advisorAtay, Mehmet Fatihcan
dc.contributor.authorDönmez, Bengi
dc.date.accessioned2023-09-07T06:04:23Z
dc.date.available2023-09-07T06:04:23Z
dc.date.copyright2023-08
dc.date.issued2023-08
dc.date.submitted2023-08-22
dc.descriptionCataloged from PDF version of article.
dc.descriptionThesis (Master's): Bilkent University, Department of Mathematics, İhsan Doğramacı Bilkent University, 2023.
dc.descriptionIncludes bibliographical references (leave 61-64).
dc.description.abstractThis thesis investigates a system of coupled Kuramoto oscillators on undirected networks comprising of anticipatory agents that try to predict the future states of their neighbors and adjust their states accordingly. The prediction is done using the past behavior of the neighbors and leads to a set of coupled delay differential equations. The study reveals that the anticipatory behavior leads to the emergence of multiple phase-synchronized solutions characterized by distinct collective frequencies and stability properties. An exact criterion for the stability of the phase-synchronized states is derived. It is shown that the system can exhibit multi-stability, where different phase-synchronized solutions can be observed depending on the initial conditions. It is further proved that bipartite graphs can exhibit anti-phase solutions and an exact condition for their stability is provided. Investigation of cycle graphs yields further frequency-synchronized states, in various clustered patterns, depending on the system’s parameter values.
dc.description.provenanceMade available in DSpace on 2023-09-07T06:04:23Z (GMT). No. of bitstreams: 1 B162362.pdf: 1106665 bytes, checksum: d52b88a207c514be0f141e4bd2a02707 (MD5) Previous issue date: 2023-08en
dc.description.statementofresponsibilityby Bengi Dönmez
dc.embargo.release2024-02-22
dc.format.extentx, 66 leaves : charts, tables ; 30 cm.
dc.identifier.itemidB162362
dc.identifier.urihttps://hdl.handle.net/11693/113833
dc.language.isoEnglish
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectSynchronization
dc.subjectDynamical systems on networks
dc.subjectDelay differential equations
dc.subjectAnticipation
dc.subjectClustering
dc.titleSynchronization of Kuramoto model with anticipatory agents
dc.title.alternativeGeleceği öngören elemanları olan Kuramoto modelinin senkronizasyonu
dc.typeThesis
thesis.degree.disciplineMathematics
thesis.degree.grantorBilkent University
thesis.degree.levelMaster's
thesis.degree.nameMS (Master of Science)

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