Connectivity preservation control for multiple unmanned aerial vehicles under communication delays

Abstract Connectivity of multiple unmanned aerial vehicles (UAVs) is crucial for distributed and coordinated control. However, due to limited communication ranges and inherent communication delays, traditional connectivity preservation methods often fail to ensure stable network connectivity in delay‐prone environments. To address this challenge, we propose a multiple UAVs connectivity preservation controller designed to operate effectively under communication delays. Leveraging distance‐based neighborhood graph modeling, our approach accurately represents communication relationships and network topology among UAVs, thus facilitating both connectivity analysis and controller design. A distributed controller, incorporating a bounded artificial potential function, is introduced and parameterized to mitigate the adverse effects of communication delays. To achieve high‐precision attitude control, we further integrate a sliding mode controller into the system. Numerical simulations demonstrate the effectiveness of the proposed method in preserving multiple UAVs connectivity under communication delay conditions.

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Publication Details

Journal
Asian Journal of Control
Published
2026-01-12
DOI
https://doi.org/10.1002/asjc.70051
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Connectivity preservation control for multiple unmanned aerial vehicles under communication delays

Bin Yuan, Yingmin Yi, Xianghong Xue, Yumeng Ren et al.
Asian Journal of Control
Distributed Control Multi-Agent Systems
article

Connectivity preservation control for multiple unmanned aerial vehicles under communication delays

Bin Yuan, Yingmin Yi, Xianghong Xue, Yumeng Ren, Youmin Zhang
article en

Abstract

Abstract Connectivity of multiple unmanned aerial vehicles (UAVs) is crucial for distributed and coordinated control. However, due to limited communication ranges and inherent communication delays, traditional connectivity preservation methods often fail to ensure stable network connectivity in delay‐prone environments. To address this challenge, we propose a multiple UAVs connectivity preservation controller designed to operate effectively under communication delays. Leveraging distance‐based neighborhood graph modeling, our approach accurately represents communication relationships and network topology among UAVs, thus facilitating both connectivity analysis and controller design. A distributed controller, incorporating a bounded artificial potential function, is introduced and parameterized to mitigate the adverse effects of communication delays. To achieve high‐precision attitude control, we further integrate a sliding mode controller into the system. Numerical simulations demonstrate the effectiveness of the proposed method in preserving multiple UAVs connectivity under communication delay conditions.

Asian Journal of Control
Xi'an University of Technology (CN), Concordia University (CA)
Sustainable cities and communities
Openalex Percentile: Top 93%
Distributed Control Multi-Agent Systems
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Connectivity preservation control for multiple unmanned aerial vehicles under communication delays — Bin Yuan, Yingmin Yi, et al. · Asian Journal of Control (2026) | TGRS Research Map | TGRS