Distributed Agreement on Activity Driven Networks

Masaki Ogura, Junpei Tagawa, Naoki Masuda

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

In this paper, we investigate asymptotic properties of a consensus protocol taking place in a class of temporal (i.e., time-varying) networks called the activity driven network. We first show that a standard methodology provides us with an estimate of the convergence rate toward the consensus, in terms of the eigenvalues of a matrix whose computational cost grows exponentially fast in the number of nodes in the network. To overcome this difficulty, we then derive alternative bounds involving the eigenvalues of a matrix that is easy to compute. Our analysis covers the regimes of 1) sparse networks and 2) fast-switching networks. We numerically confirm our theoretical results by numerical simulations.

本文言語English
ホスト出版物のタイトル2018 Annual American Control Conference, ACC 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ4147-4152
ページ数6
ISBN(印刷版)9781538654286
DOI
出版ステータスPublished - 2018 8月 9
外部発表はい
イベント2018 Annual American Control Conference, ACC 2018 - Milwauke, United States
継続期間: 2018 6月 272018 6月 29

出版物シリーズ

名前Proceedings of the American Control Conference
2018-June
ISSN(印刷版)0743-1619

Other

Other2018 Annual American Control Conference, ACC 2018
国/地域United States
CityMilwauke
Period18/6/2718/6/29

ASJC Scopus subject areas

  • 電子工学および電気工学

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