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Robust adaptive leaderless consensus of unknown non-minimum phase linear multi-agent systems subject to disturbances and/or unmodeled dynamics

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Abstract

This article investigates the problem of robust adaptive leaderless consensus for heterogeneous uncertain non-minimum phase linear multi-agent systems over directed communication graphs. Each agent is assumed to be of unknown nominal dynamics and also subject to external disturbances and/or unmodeled dynamics. A novel distributed robust adaptive control strategy is proposed. It is shown that the robust adaptive leaderless consensus problem is solved with the proposed control strategy under some sufficient conditions. Two examples are provided to demonstrate the efficacy of the proposed control strategy. © 2024 The Authors.
Original languageEnglish
Pages (from-to)92-100
JournalJournal of Automation and Intelligence
Volume3
Issue number2
Online published16 Mar 2024
DOIs
Publication statusPublished - Jun 2024

Funding

This work was supported by Research Grants Council of Hong Kong under Grant CityU-11205221 .

Research Keywords

  • Cooperative control
  • Leaderless consensus
  • Multi-agent systems
  • Non-minimum phase
  • Robust adaptive control

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

RGC Funding Information

  • RGC-funded

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