Adaptive Asynchronous Control for USVs Over Jointly Connected Switching Topologies and Event-Triggered Communication

This article delves into the adaptive event-triggered control approach for a fleet of underactuated unmanned surface vehicles (USVs) that are interconnected through shared switching topologies. The methodology put forth addresses the asynchronous control challenge within this networked framework. By incorporating an event-triggered mechanism, we have crafted the distributed asynchronous observers to approximate the reference signal, capitalizing on the dynamics of distributed errors. Leveraging fuzzy logical systems, we have devised control inputs for the underactuated USVs by employing the backstepping technique. Utilizing Lyapunov stability theory, we have rigorously demonstrated that these control inputs facilitate tracking of the reference signal by the USVs, contingent upon their relative positions. This article concludes with a validation of the proposed control strategy, showcasing its effectiveness in practical scenarios.

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Institutions

Publication Details

Journal
IEEE Transactions on Industrial Informatics
Published
2025-04-15
DOI
https://doi.org/10.1109/tii.2025.3552716
Citations
6
Primary Topic
Advanced Queuing Theory Analysis
Type
article
Field-Weighted Citation Impact
13.70

Funders

Controls
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article

Adaptive Asynchronous Control for USVs Over Jointly Connected Switching Topologies and Event-Triggered Communication

Shaocheng Tong, Kunting Yu, Yongming Li, Maolong Lv
6 citations
IEEE Transactions on Industrial Informatics
Advanced Queuing Theory Analysis
13.70
article

Adaptive Asynchronous Control for USVs Over Jointly Connected Switching Topologies and Event-Triggered Communication

Shaocheng Tong, Kunting Yu, Yongming Li, Maolong Lv
article en
6 citations

Abstract

This article delves into the adaptive event-triggered control approach for a fleet of underactuated unmanned surface vehicles (USVs) that are interconnected through shared switching topologies. The methodology put forth addresses the asynchronous control challenge within this networked framework. By incorporating an event-triggered mechanism, we have crafted the distributed asynchronous observers to approximate the reference signal, capitalizing on the dynamics of distributed errors. Leveraging fuzzy logical systems, we have devised control inputs for the underactuated USVs by employing the backstepping technique. Utilizing Lyapunov stability theory, we have rigorously demonstrated that these control inputs facilitate tracking of the reference signal by the USVs, contingent upon their relative positions. This article concludes with a validation of the proposed control strategy, showcasing its effectiveness in practical scenarios.

IEEE Transactions on Industrial InformaticsVol. 21(7)
Liaoning University of Technology (CN), Air Force Engineering University (CN), Dalian Maritime University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 1%
Advanced Queuing Theory Analysis
13.70
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Adaptive Asynchronous Control for USVs Over Jointly Connected Switching Topologies and Event-Triggered Communication — Shaocheng Tong, Kunting Yu, et al. · IEEE Transactions on Industrial Informatics (2025) | TGRS Research Map | TGRS