Resilient Consensus in Open Multi-Agent Systems

The advancements in resilient consensus research largely relied on the assumption of a time-invariant agent set, limiting their applicability in dynamic environments. This paper extends the resilient consensus problem to a more dynamic setting by incorporating agent arrivals and departures, modeling an open multi-agent system. To ensure resilient consensus in such systems, we propose a novel algorithm that separately designs update schemes for cooperative remaining agents and newly joining agents. Furthermore, we establish and analyze the sufficient condition for resilient consensus under malicious attacks in open multi-agent systems. Numerical examples are provided to validate the effectiveness of our theoretical findings.

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Publication Details

Journal
IEEE Control Systems Letters
Published
2025-01-01
DOI
https://doi.org/10.1109/lcsys.2025.3580518
Primary Topic
Distributed systems and fault tolerance
Type
article
Field-Weighted Citation Impact
0.00
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article

Resilient Consensus in Open Multi-Agent Systems

Jialing Zhou, Yuezu Lv, Maciej Ogorzałek, Yuanyi Tang
IEEE Control Systems Letters
Distributed systems and fault tolerance
article

Resilient Consensus in Open Multi-Agent Systems

Jialing Zhou, Yuezu Lv, Maciej Ogorzałek, Yuanyi Tang
article en

Abstract

The advancements in resilient consensus research largely relied on the assumption of a time-invariant agent set, limiting their applicability in dynamic environments. This paper extends the resilient consensus problem to a more dynamic setting by incorporating agent arrivals and departures, modeling an open multi-agent system. To ensure resilient consensus in such systems, we propose a novel algorithm that separately designs update schemes for cooperative remaining agents and newly joining agents. Furthermore, we establish and analyze the sufficient condition for resilient consensus under malicious attacks in open multi-agent systems. Numerical examples are provided to validate the effectiveness of our theoretical findings.

IEEE Control Systems LettersVol. 9
Beijing Institute of Technology (CN), Jagiellonian University (PL), Detector Technology (United States) (US)
Climate action
Openalex Percentile: Top 85%
Distributed systems and fault tolerance
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