Consensus conditions of continuous-time multi-agent systems with additive and multiplicative measurement noises

  • Xiaofeng Zong
  • , L. I. Tao*
  • , Ji Feng Zhang
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

82 Scopus citations

Abstract

This work is concerned with the consensus problem of multi-agent systems with additive and multiplicative measurement noises. By developing general stochastic stability lemmas for nonautonomous stochastic differential equations, stochastic weak and strong consensus conditions are investigated under fixed and time-varying topologies, respectively. For the case with fixed topologies and additive noises, the necessary and sufficient conditions for almost sure strong consensus are given. It is revealed that almost sure strong consensus and mean square strong consensus are equivalent under general digraphs, and almost sure weak consensus implies mean square weak consensus under undirected graphs; if multiplicative noises appear, then small noise intensities do not affect the control gain to guarantee stochastic strong consensus. For the case with time-varying topologies, sufficient consensus conditions are given under the periodically connected condition of the topology flow.

Original languageEnglish
Pages (from-to)19-52
Number of pages34
JournalSIAM Journal on Control and Optimization
Volume56
Issue number1
DOIs
StatePublished - 2018

Keywords

  • Additive noise
  • Almost sure consensus
  • Mean square consensus
  • Multi-agent system
  • Multiplicative noise

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