Distributed generation and control of persistent formation for multi-agent systems

Dengxiu Yu, C. L.Philip Chen

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

15 Scopus citations

Abstract

This paper concentrates on the leader-following formation control problem of multi-agent systems in the case of enormous quantity agents inside. A new method based on min-weighted persistent formations is proposed to model the distributed interaction topology. The multi-agent topology can be distributed by the same-size k-means algorithm. The control for persistent formation is presented and the stability analysis of the control input is analyzed. The simulations experiments of the distributed generation and control of persistent formation illustrate the effectiveness of the algorithm. The distributed method can avoid the frequent changes of the topologies of the optimally persistent formation and relatively independent movements of every node can also save time.

Original languageEnglish
Title of host publicationICCSS 2017 - 2017 International Conference on Information, Cybernetics, and Computational Social Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages142-147
Number of pages6
ISBN (Electronic)9781538632574
DOIs
StatePublished - 31 Oct 2017
Externally publishedYes
Event2017 International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2017 - Dalian, Liaoning, China
Duration: 24 Jul 201726 Jul 2017

Publication series

NameICCSS 2017 - 2017 International Conference on Information, Cybernetics, and Computational Social Systems

Conference

Conference2017 International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2017
Country/TerritoryChina
CityDalian, Liaoning
Period24/07/1726/07/17

Keywords

  • distributed interaction topology
  • leader-following
  • multi-agent system
  • persistent formation
  • same-size k-means

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