Consensus control of general linear multiagent systems with antagonistic interactions and communication noises

Jiangping Hu, Yanzhi Wu, Tao Li, Bijoy K. Ghosh

Research output: Contribution to journalArticle

30 Scopus citations

Abstract

This technical note considers a consensus problem of high-order multiagent systems with antagonistic interactions and communication noises. The interaction network associated with the multiagent system is modeled by a signed graph (called coopetition network) and the agent dynamics is described by a general linear system. A novel stochastic-approximation based control strategy is designed for each agent by using the relative state information from its neighbors. Additionally, convergence of a consensus error system is analyzed by the stochastic stability theory. Finally, the effectiveness of our results is demonstrated by simulation.

Original languageEnglish
Article number8472164
Pages (from-to)2122-2127
Number of pages6
JournalIEEE Transactions on Automatic Control
Volume64
Issue number5
DOIs
StatePublished - May 2019

Keywords

  • Communication noise
  • coopetition network
  • linear multiagent systems
  • mean square bipartite consensus
  • stochastic-approximation gain

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