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Collision-free formation control for multi-agent systems using sample-date interactions

  • Jun Li
  • , Shenmin Song
  • , Mingjun Wei*
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory

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

Abstract

This paper investigates the collision-free formation control problem for the second-order multi-agent systems (MAS) under sample-date interactions. Considering that only a part of followers have access to the motion of the leader, a distributed observer is developed to reconstruct the tracking information for each follower. Note that in the cyber layer, only the sampled date is utilized and the observed state is updated at sampled instants, which helps alleviate the communication occupation. In the physical layer, a control barrier function (CBF)-based algorithm is proposed based on backstepping framework. By virtue of quadratic programming (QP) method, the constrained problem is formulated to generate an optimal guidance law without compromising the stability and safety constraints. In this way, each follower is able to achieve the formation tracking objective without collisions among static and moving obstacles. The stability of the system is verified via Lyapunov analysis and the simulations are conducted to show the effectiveness of the proposed strategy.

Original languageEnglish
Title of host publicationProceedings of the 43rd Chinese Control Conference, CCC 2024
EditorsJing Na, Jian Sun
PublisherIEEE Computer Society
Pages434-439
Number of pages6
ISBN (Electronic)9789887581581
DOIs
StatePublished - 2024
Event43rd Chinese Control Conference, CCC 2024 - Kunming, China
Duration: 28 Jul 202431 Jul 2024

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference43rd Chinese Control Conference, CCC 2024
Country/TerritoryChina
CityKunming
Period28/07/2431/07/24

Keywords

  • control barrier function
  • distributed observer
  • multi-agent systems
  • sample-date interactions

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