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Juan Li, Zhenyang Tian, Gengshi Zhang and Wenbo Li
For the problem of hydroacoustic communication constraints in multi-AUV leader follower formation, this paper designs a formation control method combining CNN-LSTM prediction and backstepping sliding mode control. First, a feedback linearization method i...
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Jiawen Li, Yujia Wang, Haiyan Li, Xing Liu and Zhengyu Chen
Ocean currents, mechanical collisions and electronic damage can cause faults in an autonomous underwater vehicle (AUV), including sensors and thrusters. For such problems, this paper designs a fault-tolerant controller that is independent of the results ...
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Zheping Yan, Lidong Yue, Jiajia Zhou, Xiaoli Pan and Chao Zhang
In this paper, the formation coordination control of discrete-time distributed leaderless multiple autonomous underwater vehicle (AUV) system with double independent position?velocity communication topology and control inputs on a nonconvex set is studie...
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Tu Lv, Yujia Wang, Xing Liu and Mingjun Zhang
This paper investigates the AUV region-tracking control problem with measurement noise and transient and steady-state constraints. To achieve the fluctuation of AUV tracking error within an expected region while satisfying the transient and steady-state ...
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Jianping Yuan, Yingying She, Yinghao Zhang, Jun Xu and Lei Wan
This study focuses on addressing the the coupling problem of the vertical and horizontal plane of an autonomous underwater vehicle (AUV) with an X-rudder. To guarantee the steering performance of the AUV, a depth and course control algorithm based on an ...
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Mingyao Zhang, Zheping Yan, Jiajia Zhou and Lidong Yue
This paper focuses on the collision-free formation tracking of autonomous underwater vehicles (AUVs) with compound disturbances in complex ocean environments. We propose a novel finite-time extended state observer (FTESO)-based distributed dual closed-lo...
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Xiaoli Pan, Zheping Yan, Heming Jia, Jiajia Zhou and Lidong Yue
Formation control, which is a core problem in multi-autonomous underwater vehicle (AUV) systems, plays an important role in realizing safe and accurate cooperation of multi-AUV systems. This paper provides a study on fault-tolerant formation control for ...
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Jiqing Du, Dan Zhou, Wei Wang and Sachiyo Arai
The Deep Reinforcement Learning (DRL) algorithm is an optimal control method with generalization capacity for complex nonlinear coupled systems. However, the DRL agent maintains control command saturation and response overshoot to achieve the fastest res...
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Chunmeng Jiang, Jinhua Lv, Lei Wan, Jianguo Wang, Bin He and Gongxing Wu
The classic S-plane control method combines PD structure with fuzzy control theory, with the advantages of a simple control structure and fewer parameters to be adjusted. It has been proved as a practical method in an autonomous underwater vehicle (AUV) ...
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Chengxi Wu, Yuewei Dai, Liang Shan and Zhiyu Zhu
This paper focuses on developing a data-driven trajectory tracking control approach for autonomous underwater vehicles (AUV) under uncertain external disturbance and time-delay. A novel model-free adaptive predictive control (MFAPC) approach based on a f...
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