Finite-time flocking of a Cucker-Smale system with external perturbation and intermittent control

This study presents a modified Cucker-Smale system with external perturbation and intermittent control. First, a new finite-time stability lemma is developed, in which the settling time is determined only by the control interval's duration. Second, by imposing an assumption on external perturbation, the system can achieve collision-avoidance flocking. Third, finite-time flocking is achieved without the sign function, which effectively avoids the undesirable chattering phenomenon in the system. Finally, numerical simulations validate the theoretical analysis, and parameter sensitivity analysis offers important guidance for practical applications such as unmanned aerial vehicle (UAV) formations.

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Publication Details

Journal
AIMS Mathematics
Published
2025-01-01
DOI
https://doi.org/10.3934/math.2025292
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
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article

Finite-time flocking of a Cucker-Smale system with external perturbation and intermittent control

Shihua Zhang, Qiming Liu, Jianlong Ren
AIMS Mathematics
Distributed Control Multi-Agent Systems
article

Finite-time flocking of a Cucker-Smale system with external perturbation and intermittent control

Shihua Zhang, Qiming Liu, Jianlong Ren
article en

Abstract

This study presents a modified Cucker-Smale system with external perturbation and intermittent control. First, a new finite-time stability lemma is developed, in which the settling time is determined only by the control interval's duration. Second, by imposing an assumption on external perturbation, the system can achieve collision-avoidance flocking. Third, finite-time flocking is achieved without the sign function, which effectively avoids the undesirable chattering phenomenon in the system. Finally, numerical simulations validate the theoretical analysis, and parameter sensitivity analysis offers important guidance for practical applications such as unmanned aerial vehicle (UAV) formations.

AIMS MathematicsVol. 10(3)
Shijiazhuang University (CN), PLA Army Engineering University (CN)
Climate action
Openalex Percentile: Top 95%
Distributed Control Multi-Agent Systems
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