Adaptive synchronization of dynamics on evolving complex networks
Disordered Systems and Neural Networks
2009-11-13 v1
Abstract
We study the problem of synchronizing a general complex network by means of an adaptive strategy in the case where the network topology is slowly time varying and every node receives at each time only one aggregate signal from the set of its neighbors. We introduce an appropriately defined potential that each node seeks to minimize in order to reach/maintain synchronization. We show that our strategy is effective in tracking synchronization as well as in achieving synchronization when appropriate conditions are met.
Cite
@article{arxiv.0802.1241,
title = {Adaptive synchronization of dynamics on evolving complex networks},
author = {Francesco Sorrentino and Edward Ott},
journal= {arXiv preprint arXiv:0802.1241},
year = {2009}
}
Comments
Accepted for publication on Physical Review Letters