Partial Phase Cohesiveness in Networks of Networks of Kuramoto Oscillators

• 成果类型: Article
• 署名作者: Qin, Yuzhen; Kawano, Yu; Portoles, Oscar; Cao, Ming
• 署名单位: University of California System; University of California Riverside; Hiroshima University; University of Groningen; University of Groningen
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2021.3062005
• 发表日期: 2021
• 页码: 6100-6107
• 关键词: Kuramoto oscillators; networks of networks; partial synchronization

摘要

Partial, instead of complete, synchronization has been widely observed in various networks, including, in particular, brain networks. Motivated by data from human brain functional networks, in this article, we analytically show that partial synchronization can be induced by strong regional connections in coupled subnetworks of Kuramoto oscillators. To quantify the required strength of regional connections, we first obtain a critical value for the algebraic connectivity of the corresponding subnetwork using the incremental two-norm. We then introduce the concept of the generalized complement graph, and obtain another condition on the node strength by using the incremental 8-norm. Under these two conditions, regions of attraction for partial phase cohesiveness are estimated in the forms of the incremental two- and 8-norms, respectively. Our result based on the incremental 8-norm is the first known criterion that applies to noncomplete graphs. Numerical simulations are performed on a two-level network to illustrate our theoretical results; more importantly, we use real anatomical brain network data to show how our results may contribute to a better understanding of the interplay between anatomical structure and empirical patterns of synchrony.