Skip to main navigation Skip to search Skip to main content

Distributed Dynamic Event-Triggered Formation Control with Disturbance Observer for Multi-UAV Systems

  • Beihang University

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

Abstract

This paper proposes a distributed UAV formation controller for networks subject to external disturbances and limited bandwidth. By combining a distributed, ISS-based disturbance observer with a dynamic event-triggering mechanism, the approach achieves formation consensus via intermittent neighbor communications while avoiding high-dimensional LMI co-design. Lyapunov analysis establishes global asymptotic stability and excludes Zeno behavior. Simulations on a 3D spiral ascent with five UAVs demonstrate fast tracking, accurate disturbance estimation, and significantly fewer transmissions, highlighting scalability and communication efficiency for multi-agent coordination.

Original languageEnglish
Title of host publicationProceedings of 2025 9th Chinese Conference on Swarm Intelligence and Cooperative Control - Swarm Optimization Technologies
EditorsYongzhao Hua, Yishi Liu, Rui Yan
PublisherSpringer Science and Business Media Deutschland GmbH
Pages650-662
Number of pages13
ISBN (Print)9789819583287
DOIs
StatePublished - 2026
Event9th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2025 - Shanghai, China
Duration: 31 Oct 2025 → 3 Nov 2025

Publication series

NameLecture Notes in Electrical Engineering
Volume1606 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference9th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2025
Country/TerritoryChina
CityShanghai
Period31/10/25 → 3/11/25

Keywords

  • UAV formation
  • distributed control
  • disturbance observer
  • dynamic event-triggering

Fingerprint

Dive into the research topics of 'Distributed Dynamic Event-Triggered Formation Control with Disturbance Observer for Multi-UAV Systems'. Together they form a unique fingerprint.

Cite this