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Dynamic edge adaptation in delayed oscillator networks.

Abstract:

We consider edge dynamics for networks of non-identical time-delayed Kuramoto oscillators. The dynamics that we derive ensure synchronization to an arbitrary design frequency whilst minimizing the edge weights in the graph. The approach was inspired by inhibitory neurons in the brain and makes use of positive and negative coupling between oscillators. By using the dual of an optimization problem we obtain edge dynamics that are simple and decentralized. We present simulations to demonstrate o...

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Publication status:
Published

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Publisher copy:
10.1109/CDC.2012.6426302

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
Publisher:
IEEE
Host title:
CDC
Pages:
2995-3000
Publication date:
2012-01-01
DOI:
ISSN:
0191-2216
ISBN:
9781467320658
Pubs id:
pubs:384405
UUID:
uuid:f9e1af3b-6a39-485e-834d-e97d6f8856c8
Local pid:
pubs:384405
Source identifiers:
384405
Deposit date:
2013-11-17

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