2008/02/10 by Francesco Sorrentino, Edward Ott · 3 citations
Computer Science · Physics and Astronomy · #Neural Networks Stability and Synchronization #Nonlinear Dynamics and Pattern Formation #Opinion Dynamics and Social Influence #cond-mat.dis-nn
paper · pdf · doi:10.1103/physrevlett.100.114101
Accepted for publication on Physical Review Letters
arxiv created 2008/02/10 · openalex publication_date 2008/03/20 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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 or maintain synchronization. We show that our strategy is effective in tracking synchronization as well as in achieving synchronization when appropriate conditions are met.