Convergence rate for consensus with delays

Angelia Nedić, Asuman Ozdaglar

Research output: Contribution to journalArticle

87 Scopus citations

Abstract

We study the problem of reaching a consensus in the values of a distributed system of agents with time-varying connectivity in the presence of delays. We consider a widely studied consensus algorithm, in which at each time step, every agent forms a weighted average of its own value with values received from the neighboring agents. We study an asynchronous operation of this algorithm using delayed agent values. Our focus is on establishing convergence rate results for this algorithm. In particular, we first show convergence to consensus under a bounded delay condition and some connectivity and intercommunication conditions imposed on the multi-agent system. We then provide a bound on the time required to reach the consensus. Our bound is given as an explicit function of the system parameters including the delay bound and the bound on agents' intercommunication intervals.

Original languageEnglish (US)
Pages (from-to)437-456
Number of pages20
JournalJournal of Global Optimization
Volume47
Issue number3
DOIs
StatePublished - Jul 1 2010
Externally publishedYes

Keywords

  • Asynchronous
  • Convergence
  • Delays
  • Distributed consensus

ASJC Scopus subject areas

  • Computer Science Applications
  • Management Science and Operations Research
  • Control and Optimization
  • Applied Mathematics

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