Global scaled consensus in finite-time for variable-order multi-agent systems with discontinuous inherent dynamics and switching topologies

This paper investigates the global asymptotic scaled consensus and global finite-time scaled consensus for variable-order multi-agent systems with discontinuous inherent dynamics and switching topologies. Via the switched distributed control schemes, sufficient scaled consensus criteria of multi-agent systems are established. As for global finite-time scaled consensus, the settling time for the consensus of multi-agent systems is explicitly evaluated, which is related to fractional-order derivative, control parameters, and average dwell time. Two simulation examples and one comparison are presented to imply the efficacy of the proposed control strategies.

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Publication Details

Journal
Transactions of the Institute of Measurement and Control
Published
2025-01-10
DOI
https://doi.org/10.1177/01423312241284682
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Global scaled consensus in finite-time for variable-order multi-agent systems with discontinuous inherent dynamics and switching topologies

Xiao Peng, Huaiqin Wu
Transactions of the Institute of Measurement and Control
Distributed Control Multi-Agent Systems
article

Global scaled consensus in finite-time for variable-order multi-agent systems with discontinuous inherent dynamics and switching topologies

Xiao Peng, Huaiqin Wu
article en

Abstract

This paper investigates the global asymptotic scaled consensus and global finite-time scaled consensus for variable-order multi-agent systems with discontinuous inherent dynamics and switching topologies. Via the switched distributed control schemes, sufficient scaled consensus criteria of multi-agent systems are established. As for global finite-time scaled consensus, the settling time for the consensus of multi-agent systems is explicitly evaluated, which is related to fractional-order derivative, control parameters, and average dwell time. Two simulation examples and one comparison are presented to imply the efficacy of the proposed control strategies.

Transactions of the Institute of Measurement and ControlVol. 48(6)
Yanshan University (CN), Taiyuan University of Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation for Young Scientists of Shanxi Province
Openalex Percentile: Top 100%
Distributed Control Multi-Agent Systems
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