Consensus analysis for high-order multi-agent systems

Xu Zhu, Jian Guo Yan, Yao Hong Qu

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Consensus problems for mobile multi-agent systems are practically significant in complicated kinetics systems. While the network communication topology is fixed, based on matrix decomposition theory, information flow consensus criteria is proposed for high-order multi-agent systems, which is a sufficient and necessary condition for asymptotic convergence. Under the assumption that the communication topology has a directed spanning tree, closed-loop transfer function is constructed for MIMO systems. Each weight of different state derivatives is analyzed for the influence on convergence stability. If the weights satisfy Hurwitz stability criteria, the system will achieve consensus asymptotically. Finally, simulation results verify the effectiveness of the conclusion.

Original languageEnglish
Pages (from-to)2466-2471
Number of pages6
JournalTien Tzu Hsueh Pao/Acta Electronica Sinica
Volume40
Issue number12
DOIs
StatePublished - Dec 2012

Keywords

  • Consensus control
  • Consensus criteria
  • High-order systems
  • Information flow
  • Multi-agent systems
  • The weight of information variable

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