Distributed formation control for UAV-USV heterogeneous systems with secure and privacy-preserving ability

This paper tackles the air-sea formation trajectory tracking problem for heterogeneous multi-agent systems, comprising unmanned aerial vehicle (UAV) and unmanned surface vessels (USVs), using a secure and privacy-preserving framework with sampled-data interactions. A hierarchical control approach is introduced, including a fixed-time tracking controller for UAVs, sample-based estimators, and a nonlinear formation controller for USVs. The Paillier cryptosystem is used to ensure secure communication among USVs. Theoretical analysis provides conditions for system stability, and numerical simulations confirm the effectiveness of the proposed method.

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Publication Details

Journal
Transactions of the Institute of Measurement and Control
Published
2025-03-29
DOI
https://doi.org/10.1177/01423312251321557
Citations
1
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
1.49

Funders

Controls
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article

Distributed formation control for UAV-USV heterogeneous systems with secure and privacy-preserving ability

Tao Han, Bo Xiao, Xiaoyu Zhang, Xisheng Zhan
1 citations
Transactions of the Institute of Measurement and Control
Distributed Control Multi-Agent Systems
1.49
article

Distributed formation control for UAV-USV heterogeneous systems with secure and privacy-preserving ability

Tao Han, Bo Xiao, Xiaoyu Zhang, Xisheng Zhan
article en
1 citations

Abstract

This paper tackles the air-sea formation trajectory tracking problem for heterogeneous multi-agent systems, comprising unmanned aerial vehicle (UAV) and unmanned surface vessels (USVs), using a secure and privacy-preserving framework with sampled-data interactions. A hierarchical control approach is introduced, including a fixed-time tracking controller for UAVs, sample-based estimators, and a nonlinear formation controller for USVs. The Paillier cryptosystem is used to ensure secure communication among USVs. Theoretical analysis provides conditions for system stability, and numerical simulations confirm the effectiveness of the proposed method.

Transactions of the Institute of Measurement and Control
Hubei Normal University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 19%
Distributed Control Multi-Agent Systems
1.49
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Distributed formation control for UAV-USV heterogeneous systems with secure and privacy-preserving ability — Tao Han, Bo Xiao, et al. · Transactions of the Institute of Measurement and Control (2025) | TGRS Research Map | TGRS