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Reaching a Consensus in a Dynamically Changing Environment: A Graphical Approach

The work

AuthorsMing Cao; A. Stephen Morse; Brian D. O. Anderson
Editors
Typearticle
Year2008
Citekeycao2008reaching

Where it appeared

Published inSIAM Journal on Control and Optimization
PublisherSociety for Industrial and Applied Mathematics
Volume47
Issue2
Pages575--600

Identifiers

DOI10.1137/060657005
OpenAlexW2019312235

From OpenAlex, which stores abstracts as an index of words and their positions: what is shown is rebuilt from that, and reads fluently whether or not it is what the author wrote.

Abstract

This paper presents new graph-theoretic results appropriate for the analysis of a variety of consensus problems cast in dynamically changing environments. The concepts of rooted, strongly rooted, and neighbor-shared are defined, and conditions are derived for compositions of sequences of directed graphs to be of these types. The graph of a stochastic matrix is defined, and it is shown that under certain conditions the graph of a Sarymsakov matrix and a rooted graph are one and the same. As an illustration of the use of the concepts developed in this paper, graph-theoretic conditions are obtained which address the convergence question for the leaderless version of the widely studied Vicsek consensus problem.

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Cite it as

@article{cao2008reaching,
  title        = {Reaching a Consensus in a Dynamically Changing Environment: A Graphical Approach},
  author       = {Ming Cao and A. Stephen Morse and Brian D. O. Anderson},
  year         = {2008},
  journal      = {SIAM Journal on Control and Optimization},
  publisher    = {Society for Industrial and Applied Mathematics},
  volume       = {47},
  number       = {2},
  pages        = {575--600},
  doi          = {10.1137/060657005},
}

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