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Synchronising second-order multi-agent systems under dynamic topology via reference model-based algorithm

  • University of Science and Technology of China
  • Australian National University
  • Harbin Institute of Technology
  • King Abdulaziz University
  • Faculty of Engineering, King Abdulaziz University
  • Quaid-I-Azam University

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

This paper revisits the synchronisation problem for second-order multi-agent systems (MASs) under dynamically changing communication topology. By employing the reference model-based synchronisation algorithm, it is finally shown that synchronisation for both the position and velocity states can be achieved if the union of the communication topologies has a directed spanning tree frequently enough. This extends the existing results obtained for second-order MASs which exploits mild communication topology condition guaranteeing the synchronisation to a more general case. Convergence analysis is successfully performed by exploiting the product properties of row-stochastic matrices, which can also provide us with an estimate the convergence rate towards the synchronisation.

Original languageEnglish
Pages (from-to)214-225
Number of pages12
JournalJournal of Control and Decision
Volume1
Issue number3
DOIs
StatePublished - 3 Jul 2014
Externally publishedYes

Keywords

  • double-integrator agents
  • rate of convergence
  • synchronisation
  • weakest possible communication topology

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