Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/1027
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dc.contributor.advisorAMBIKA, G.en_US
dc.contributor.authorGAKHARE, HARSHen_US
dc.date.accessioned2018-05-18T04:32:12Z
dc.date.available2018-05-18T04:32:12Z
dc.date.issued2018-05en_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/1027-
dc.description.abstractThe complexity of several systems is a confluence of the intricate structure of their interactions and the intrinsic dynamics of its constituent elements. Complex network framework can be used to study such systems effectively. Several recent studies indicate that understanding of the complex systems may be better achieved by using both the nodal dynamics and the interaction topology synergetically to alter the behaviour of the system. We discuss properties of individual nonlinear systems and the dynamics displayed in collective behaviour including synchronization, phase-synchronization, amplitude and oscillation deaths, chimera state behaviour etc. We explore the emergent dynamics especially synchronization, by investigating control strategies where: i) strategic rewiring brings system toward desired synchronization dynamics and ii) the system dynamics drives changes in the interaction topology leading to an emergent stable network structure. We observe the formation of synchronization in clusters where the clusters either remain or coalesce into larger clusters. We are also able to change the number of clusters by varying control parameters. For dynamics driven control of topology, we observe resultant networks showing characteristics of scalefree type networks. Finally, we identify possible improvements to control procedures studied and propose a method involving externally driven control to extend the study further.en_US
dc.language.isoenen_US
dc.subject2018
dc.subjectPhysicsen_US
dc.subjectControlled dynamicsen_US
dc.subjectTopologyen_US
dc.subjectComplex networksen_US
dc.titleEmergence of controlled dynamics and role of topology in complex networksen_US
dc.typeThesisen_US
dc.type.degreeBS-MSen_US
dc.contributor.departmentDept. of Physicsen_US
dc.contributor.registration20131130en_US
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