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Adaptive coordination of second-order multi-agent systems with instinct nonlinear dynamics under a directed graph

  • Jie Mei*
  • *Corresponding author for this work
  • Harbin Institute of Technology Shenzhen

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

Abstract

In this paper, we study the distributed coordination for second-order multi-agent systems with intrinsic nonlinear dynamics and heterogeneous control gains under a general directed graph. Unlike the existing consensus algorithm for second-order multi-agent systems under a directed graph where all agents share common control gains, here we allow the control gains are heterogeneous for each agent. We propose fully distributed consensus algorithms for both the leaderless consensus problem and the coordinated tracking problem with a dynamic leader. Novel integral-type Lyapunov functions are proposed to study the consensus and tracking convergence. The control gains are varying and updated by distributed adaptive laws. As a result, the proposed algorithms require no global information and thus can be implemented in a fully distributed manner.

Original languageEnglish
Title of host publicationProceedings of the 33rd Chinese Control Conference, CCC 2014
EditorsShengyuan Xu, Qianchuan Zhao
PublisherIEEE Computer Society
Pages1692-1697
Number of pages6
ISBN (Electronic)9789881563842
DOIs
StatePublished - 11 Sep 2014
Externally publishedYes
EventProceedings of the 33rd Chinese Control Conference, CCC 2014 - Nanjing, China
Duration: 28 Jul 201430 Jul 2014

Publication series

NameProceedings of the 33rd Chinese Control Conference, CCC 2014
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

ConferenceProceedings of the 33rd Chinese Control Conference, CCC 2014
Country/TerritoryChina
CityNanjing
Period28/07/1430/07/14

Keywords

  • Multi-agent systems
  • adaptive/heterogenous gains
  • consensus
  • cooperative control
  • coordinated tracking

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