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Flocking with obstacle avoidance and connectivity maintenance in multi-agent systems

  • Qiang Wang*
  • , Hao Fang
  • , Jie Chen
  • , Yutian Mao
  • , Lihua Dou
  • *Corresponding author for this work
  • Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The problems of flocking with both connectivity maintenance and obstacle avoidance for the network of dynamic agents are addressed. In the case where the initial network is connected, a set of decentralized flocking control protocols is presented by utilizing artificial potential functions combined with stream functions to enable the group to asymptotically achieve the desired stable flocking motion, which could not only maintain the network connectivity of the dynamic multi-agent systems for all time but also make all the agents avoid obstacles smoothly without trapping into local minima. Finally, nontrivial simulations and experiments are worked out to verify the effectiveness of the theoretical methods.

Original languageEnglish
Title of host publication51st IEEE Conference on Decision and Control, CDC 2012
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4009-4014
Number of pages6
ISBN (Electronic)9781467320658
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event51st IEEE Conference on Decision and Control, CDC 2012 - Maui, HI, United States
Duration: 10 Dec 2012 → 13 Dec 2012

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference51st IEEE Conference on Decision and Control, CDC 2012
Country/TerritoryUnited States
CityMaui, HI
Period10/12/12 → 13/12/12

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