Multiscale networks for distributed consensus algorithms

Christina Selle, Matthew West

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We introduce a multiscale network construction that accelerates the convergence of distributed consensus algorithms on the network. Local update rules are given to account for node and edge failure, and the trade-off between performance and robustness of the multilevel network is investigated. A numerical example is provided to demonstrate the improved convergence rate obtained using the new algorithm.

Original languageEnglish (US)
Title of host publicationProceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4753-4758
Number of pages6
ISBN (Print)9781424438716
DOIs
StatePublished - 2009
Event48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009 - Shanghai, China
Duration: Dec 15 2009Dec 18 2009

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Other

Other48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
Country/TerritoryChina
CityShanghai
Period12/15/0912/18/09

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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