Sufficient conditions on distributed averaging with compound noises and fixed topologies

  • Jiexiang Wang
  • , Tao Li*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper, the distributed average consensus of discrete-time multi-agent networks is studied with compound noises and fixed topologies. Each agent updates its state through communication with neighbour agents. The communication model contains both additive and multiplicative noises. To attenuate the additive noises, the time-varying algorithm gain is introduced. By the algebraic graph theory, matrix theory and martingale convergence theory, we get the sufficient conditions for all agents' states converging to a common random variable in mean square and almost surely, whose expectation is right the average of the initial values of all agents, and whose variance is bounded by a quantity related to the maximal weight and in-degree, the time-varying algorithm gain, the number of agents, the agents' initial values, the second-order moment and the intensity coefficients of the noises.

Original languageEnglish
Title of host publicationProceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages832-837
Number of pages6
ISBN (Electronic)9781467397148
DOIs
StatePublished - 3 Aug 2016
Externally publishedYes
Event28th Chinese Control and Decision Conference, CCDC 2016 - Yinchuan, China
Duration: 28 May 201630 May 2016

Publication series

NameProceedings of the 28th Chinese Control and Decision Conference, CCDC 2016

Conference

Conference28th Chinese Control and Decision Conference, CCDC 2016
Country/TerritoryChina
CityYinchuan
Period28/05/1630/05/16

Keywords

  • Compound noise
  • Distributed average consensus
  • Fixed topology
  • Multi-agent system

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