Flocking Control Against Malicious Agent

Chencheng Zhang, Hao Yang*, Bin Jiang, Ming Cao

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)
138 Downloads (Pure)

Abstract

This paper investigates the flocking control of a swarm with a malicious agent that falsifies its controller parameters to cause collision, division, and escape of agents in the swarm. A novel geometric flocking condition is established by designing the configuration of the malicious agent and its neighbors, under which we propose a hierarchical geometric configuration based flocking control method. To help detect the malicious agent, a parameter estimate mechanism is also provided. The proposed method can achieve the flocking control goal and meanwhile contain the malicious agent in the swarm without removing it. Experimental result shows the effectiveness of the theoretical result.

Original languageEnglish
Pages (from-to)3278-3285
Number of pages8
JournalIEEE Transactions on Automatic Control
Volume69
Issue number5
Early online date26-Sept-2023
DOIs
Publication statusPublished - 5-May-2024

Keywords

  • Automation
  • Autonomous aerial vehicles
  • Behavioral sciences
  • Eigenvalues and eigenfunctions
  • Flocking control
  • Force
  • geometric configuration
  • malicious agent
  • swarm
  • Task analysis
  • Topology

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