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Fully Distributed Consensus for Second-order Uncertain Multi-agent Systems under a Directed Graph

  • Harbin Institute of Technology Shenzhen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we study the leaderless consensus problem for second-order uncertain multi-agent systems with absolute velocity damping under a directed graph. A fully distributed algorithm is proposed, in which each agent uses only the relative position measurements with respect to its neighbors and its own absolute velocity damping. It turns out that all agents achieve consensus asymptotically with zero final velocities. The proposed algorithm is fully distributed in the sense that different agents use their own control gains. Based on a system transformation method and an auxiliary variable, the leaderless consensus problem for second-order uncertain multi-agent systems is converted into that for a first-order linear multi-agent system with a vanishing term. The consensus convergence is then analyzed via the Lyapunov stability theory and input-to-state stability. Numerical simulations are provided to verify the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publication2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages492-496
Number of pages5
ISBN (Electronic)9781538695821
DOIs
StatePublished - 18 Dec 2018
Externally publishedYes
Event15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018 - Singapore, Singapore
Duration: 18 Nov 201821 Nov 2018

Publication series

Name2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018

Conference

Conference15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
Country/TerritorySingapore
CitySingapore
Period18/11/1821/11/18

Keywords

  • Adaptive Consensus
  • Directed Graph
  • Multi-agent Systems
  • Uncertainties

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