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Safety Formation Based on Control Barrier Function for Multi-agent Systems

  • Zilong Li
  • , Haoliang Xue
  • , Yongfang Liu
  • , Yu Zhao
  • Northwestern Polytechnical University Xian

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

Abstract

A robust containment control strategy for second-order dynamic agent systems is proposed in this paper. Unlike traditional approaches that focus on static or single-target scenarios, the method enables agents to cooperatively surround multiple dynamic targets while ensuring real-time collision avoidance in complex environments. A distributed leader–follower framework is adopted to achieve formation tracking, where only partial agents have access to target information. Control Barrier Functions are employed to enforce safety constraints by guaranteeing forward invariance of the safe set under bounded acceleration. To address potential deadlock issues arising from unreachable ideal formation positions due to environmental obstacles, a mapping-based formation reshaping strategy is proposed. Simulation results in forest-like environments with both static and dynamic obstacles demonstrate that the proposed control strategy successfully achieves target encirclement while maintaining inter-agent and obstacle safety.

Original languageEnglish
Title of host publicationProceedings of 2025 9th Chinese Conference on Swarm Intelligence and Cooperative Control - Swarm Control Technologies
EditorsQing Wang, Xiwang Dong, Peng Song
PublisherSpringer Science and Business Media Deutschland GmbH
Pages359-370
Number of pages12
ISBN (Print)9789819584345
DOIs
StatePublished - 2026
Event9th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2025 - Shanghai, China
Duration: 31 Oct 20253 Nov 2025

Publication series

NameLecture Notes in Electrical Engineering
Volume1604 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference9th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2025
Country/TerritoryChina
CityShanghai
Period31/10/253/11/25

Keywords

  • Cooperative control
  • Encirclement control
  • Formation control
  • Multi-agent systems
  • Obstacle avoidance

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