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Event-driven metrology-communication joint framework based on LMPC multi-AUV formation control
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Bo XU1, 2, Yibing ZUO*, 1, 2, Zhaoyang WANG1, 3, Xuefei MA1, 2, Haifeng ZHU1, 2
Chinese Journal of Ship Research | 2026, 21(2) : 89 - 100
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Chinese Journal of Ship Research | 2026, 21(2): 89-100
Overall Design Technology of Unmanned Underwater Systems
Event-driven metrology-communication joint framework based on LMPC multi-AUV formation control
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Bo XU1, 2, Yibing ZUO*, 1, 2, Zhaoyang WANG1, 3, Xuefei MA1, 2, Haifeng ZHU1, 2
Affiliations
  • 1College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China
  • 2Nanhai Institute of Harbin Engineering University, Sanya 572024, China
  • 3School of Intelligent Perception and Instruments, Zhongyuan University of Technology, Zhengzhou 451191, China
Published: 2026-04-30 doi: 10.19693/j.issn.1673-3185.04586
Outline
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Objective

To address the challenges in multi-AUV formation maneuvering, such as limited state perception and transmission capabilities, acoustic communication delays, data loss, and reduced observability due to the lack of position information exchange, this study proposes an event-triggered metrology−communication unified framework with a Lyapunov-based model predictive formation control method (ETMCU−LMPC). The proposed approach aims to enhance formation stability and tracking accuracy.

Method

First, by integrating the formation communication topology with system states, an event-triggered mechanism based on state observation is established. This mechanism leverages relative measurements among AUVs to mitigate delays and data loss caused by acoustic communication failures, while improving system observability in the absence of position information exchange. Second, a distributed model predictive controller based on Lyapunov theory is designed. The controller employs backstepping to construct contractive constraints, ensuring recursive feasibility, and incorporates adaptive Kalman filtering (AKF) to compensate for measurement noise, thereby guaranteeing closed-loop stability.

Results

Simulation results of the formation control for five AUVs (1 leader and 4 followers) show that, compared with the traditional LMPC, the proposed ETMCU−LMPC method reduces the convergence time from 8 s to 6 s, the maximum error from 1.12 m to 0.36 m, and the steady-state error from 0.57 m to 0.06 m. Additionally, the control input exhibits greater stability.

Conclusion

The proposed method can effectively cope with communication anomalies, improve the reliability of multi-AUV formations under scenarios with limited state perception and transmission, and thus possesses practical engineering significance.

autonomous underwater vehicles  /  formation control  /  path following  /  trajectory tracking  /  event-triggered metrology−communication unified framework  /  model predictive control  /  Lyapunov methods  /  adaptive Kalman filter (AKF)
Bo XU, Yibing ZUO, Zhaoyang WANG, Xuefei MA, Haifeng ZHU. Event-driven metrology-communication joint framework based on LMPC multi-AUV formation control[J]. Chinese Journal of Ship Research, 2026 , 21 (2) : 89 -100 . DOI: 10.19693/j.issn.1673-3185.04586
Year 2026 volume 21 Issue 2
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Article Info
doi: 10.19693/j.issn.1673-3185.04586
  • Receive Date:2025-07-01
  • Online Date:2026-05-20
  • Published:2026-04-30
Article Data
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History
  • Received:2025-07-01
  • Revised:2025-09-11
Affiliations
    1College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China
    2Nanhai Institute of Harbin Engineering University, Sanya 572024, China
    3School of Intelligent Perception and Instruments, Zhongyuan University of Technology, Zhengzhou 451191, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
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占总种数比例
Percentage of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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