Multi-agent consensus by binary-valued communications of relative state

Ximei Wang, Yanlong Zhao, Xiaoming Hu, Boualem Djehiche

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

Abstract

This paper studies an average consensus problem for multi-agent systems (MAS) with binary-valued communications of relative state between neighbors. A two-scale algorithm consisting of 'estimation' stage and 'control' stage is proposed for discrete-time MAS over directed graph. In the 'estimation' stage, the relative states between agents and neighbors are estimated with and without considering measurement noise. In 'control' stage, a distributed control protocol is designed based on the estimations of relative states to achieve average consensus. Convergence and convergence speed of the algorithm are analyzed theoretically under mild conditions. Finally, a numerical simulation is given to validate the developed results of this paper.

Original languageEnglish (US)
Title of host publicationProceedings of the 38th Chinese Control Conference, CCC 2019
EditorsMinyue Fu, Jian Sun
PublisherIEEE Computer Society
Pages1672-1677
Number of pages6
ISBN (Electronic)9789881563972
DOIs
StatePublished - Jul 2019
Event38th Chinese Control Conference, CCC 2019 - Guangzhou, China
Duration: Jul 27 2019Jul 30 2019

Publication series

NameChinese Control Conference, CCC
Volume2019-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference38th Chinese Control Conference, CCC 2019
Country/TerritoryChina
CityGuangzhou
Period7/27/197/30/19

Keywords

  • Average consensus
  • Binary-valued communication
  • Convergence
  • Convergence rate
  • Multi-agent systems
  • State estimation

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Applied Mathematics
  • Modeling and Simulation

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