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Accelerating average consensus by using the information of second-order neighbours with communication delays

Author

Listed:
  • Lina Rong
  • Shengyuan Xu
  • Baoyong Zhang
  • Yun Zou

Abstract

This article investigates the problem of accelerating average consensus in undirected and connected networks. The protocol using the information of second-order neighbours with communication delays is proposed and the delay effects on stability and the convergence speed are analysed, respectively, under an assumption about the network topologies. It is proved that, for appropriate communication delays, networks reach average consensus faster under the proposed protocol than the standard protocol using only the information of first-order neighbours. Finally, a simulation example is presented to illustrate the proposed results.

Suggested Citation

  • Lina Rong & Shengyuan Xu & Baoyong Zhang & Yun Zou, 2013. "Accelerating average consensus by using the information of second-order neighbours with communication delays," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(6), pages 1181-1188.
    • Handle: RePEc:taf:tsysxx:v:44:y:2013:i:6:p:1181-1188
    DOI: 10.1080/00207721.2012.659691
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    Cited by:

    1. Bin Hu & Zhi-Hong Guan & Rui-Quan Liao & Ding-Xue Zhang & Gui-Lin Zheng, 2015. "Consensus-based distributed optimisation of multi-agent networks via a two level subgradient-proximal algorithm," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(7), pages 1307-1318, May.
    2. Xia Xiao & Xiaowu Mu, 2017. "Consensus of linear multi-agent systems with communication delays by using the information of second-order neighbours under intermittent communication topology," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(1), pages 200-208, January.
    3. Zhihai Wu & Li Peng & Linbo Xie & Jiwei Wen, 2015. "Stochastic bounded consensus tracking of second-order multi-agent systems with measurement noises based on sampled-data with general sampling delay," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(3), pages 546-561, February.

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