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Exact Prescribed-time Average Consensus Using Periodic Delay Feedback

  • Yuan Zhou
  • , Enbo Liu
  • , Yu Zhao
  • , Guo Feng Zhang
  • , Heung Wing Joseph Lee
  • Hong Kong Polytechnic University
  • Northwestern Polytechnical University Xian

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

Abstract

Current prescribed-time methods typically achieve only inexact consensus with residual errors, as they deliberately circumvent the singularity issues inherent in high-gain approaches. This paper revisits the prescribed-time consensus problem for multi-agent systems and proposes a solution via a novel periodic time-delay feedback protocol. The protocol guarantees exact consensus (zero error) within at most two delay periods. To establish theoretical validity, we introduce a novel Lyapunov-based criterion tailored for delayed systems. Crucially, this work completely circumvents the singularity problem - a limitation that renders existing approaches impractical. Finally, numerical simulations implement the prescribed-time formation control using the proposed protocol, further validating its theoretical effectiveness.

Original languageEnglish
Title of host publicationProceedings of 2025 IEEE International Conference on Unmanned Systems, ICUS 2025
EditorsRong Song
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages873-877
Number of pages5
ISBN (Electronic)9798331526726
DOIs
StatePublished - 2025
Event2025 IEEE International Conference on Unmanned Systems, ICUS 2025 - Changzhou, China
Duration: 18 Sep 202519 Sep 2025

Publication series

NameProceedings of 2025 IEEE International Conference on Unmanned Systems, ICUS 2025

Conference

Conference2025 IEEE International Conference on Unmanned Systems, ICUS 2025
Country/TerritoryChina
CityChangzhou
Period18/09/2519/09/25

Keywords

  • multi-agent system
  • periodic delay feedback
  • prescribed-time control

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