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Advances and frontiers of key technologies in intelligent navigation for unmanned surface vehicles
LOU Jiankun, XU Mengyuan, YUE Lin, FENG Weiqiang, WANG Hongdong
2025, 20(1): 3-14. DOI: 10.19693/j.issn.1673-3185.04348
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Research status and prospects of satellite-shore-based integrated network technology for remotely-controlled ships
HU Xinjue, LI Qi, LIU Jialun, ZHOU Yunlong, LIN Nan, LI Shijie
2025, 20(1): 15-24. DOI: 10.19693/j.issn.1673-3185.04264
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Research progress on test scenario of ship autonomous navigation
CHEN Lijia, WANG Kai, HUANG Liwen, LI Shengwei, ZHOU Xinwei, LIU Yanzhi
2025, 20(1): 25-37. DOI: 10.19693/j.issn.1673-3185.03597
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Parameter identification of unmanned surface vehicle MMG model based on an improved extended Kalman filter
SUN Pengbo, DONG Zaopeng, LIU Wei, SHENG Jinliang, LI Zhihao
2025, 20(1): 38-46. DOI: 10.19693/j.issn.1673-3185.03816
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Prediction of ship maneuvering motion in regular wave with gray-box modelling
HAN Yang, HAO Lizhu, SHI Chao, PAN Ziying, LU Jiang, GU Min
2025, 20(1): 47-57. DOI: 10.19693/j.issn.1673-3185.04029
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Adaptive online modeling of ship maneuvering motion based on error monitoring
YU Yaohui, LIU Suyang, WANG Zihao, XIE Wenbo, PENG Yan
2025, 20(1): 58-64. DOI: 10.19693/j.issn.1673-3185.04019
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Hydrodynamic coefficients identification of ship simplified modular model based on support vector regression
SONG Lifei, WANG Yuqing, PENG Wei, LI Peiyong, LIu Yushan, ZHANG Yongfeng
2025, 20(1): 65-75. DOI: 10.19693/j.issn.1673-3185.03832
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Ship motion identification model based on enhanced Bi-LSTM
ZHANG Haozhe, YANG Zhibo, JIAO Xuguo, LÜ Chengxing, LEI Peng
2025, 20(1): 76-84. DOI: 10.19693/j.issn.1673-3185.03740
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Ship parameter identification method based on improved wild horse optimizer
QI Zhigang, ZHANG Hao, LI Bing, LU Zhe
2025, 20(1): 85-95. DOI: 10.19693/j.issn.1673-3185.03818
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Method for constructing occupancy grid maps based on navigation radar echo video data
JIANG Kunyi, SUN Shiping, JIANG Bingdong, CAI Qing
2025, 20(1): 96-106. DOI: 10.19693/j.issn.1673-3185.04148
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Ship global path planning based on improved DQN algorithm
GUAN Wei, QU Sheng, ZHANG Xianku, HU Tongbo
2025, 20(1): 107-114. DOI: 10.19693/j.issn.1673-3185.03866
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Application of an improved ant colony algorithm based on unevenly distributed pheromone and multi-objective optimization in path planning for unmanned surface vehicles
XIE Guobing, HE Wei, HU Wangwen, Su Yixin, SHI Binghua
2025, 20(1): 115-124. DOI: 10.19693/j.issn.1673-3185.04207
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Distance-keeping tracking algorithm of surface targets for USV based on bidirectional fitting filtering
SHI Xiaoqian, XU Jia, CHEN Houjing, WANG Xing, HU Weizheng, SONG Lifei
2025, 20(1): 125-134. DOI: 10.19693/j.issn.1673-3185.04088
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Ship local path planning method based on three-dimensional potential field model
WANG Qunpeng, LI Longhao, GUAN Hongxu, LIU Jialun, CAI Jianzhe, SHA Zhengrong, ZHANG Jinshui
2025, 20(1): 135-146. DOI: 10.19693/j.issn.1673-3185.04076
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Ship path planning and tracking based on rapidly exploring random tree star and convex optimization
ZHOU Chang, YU Te, LIU Jiapeng, LU Dihua, ZENG Qingshan
2025, 20(1): 147-161. DOI: 10.19693/j.issn.1673-3185.03837
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Stage-induced learning-based cooperative target hunting strategy for multiple unmanned surface vehicles
QU Xingru, JIANG Yuze, LONG Feifei, ZHANG Rubo, GAO Ying
2025, 20(1): 162-171. DOI: 10.19693/j.issn.1673-3185.04030
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Autonomous decision-making method of unmanned ship based on improved DDPG algorithm
GUAN Wei, HAO Shuhui, CUI Zhewen, WANG Miaomiao
2025, 20(1): 172-180. DOI: 10.19693/j.issn.1673-3185.03929
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High-speed 3D obstacle avoidance method for large-scale AUVs under limited field of view and multiple constraints
LI Xianghong, YU Lin, SU Jing, QIAO Lei
2025, 20(1): 181-190. DOI: 10.19693/j.issn.1673-3185.04084
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KFESO-based composite anti-disturbance control for distributed cooperative path following of unmanned surface vehicles
CHEN Haoyu, XU Haixiang, WEI Xiao, WANG Jian, CHEN Wei
2025, 20(1): 191-202. DOI: 10.19693/j.issn.1673-3185.03983
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Precise path following of underactuated ship based on neurodynamic optimization and model predictive control
SHI Junqiao, LIU Cheng, GUO Weili, SUN Ting, WANG Xuegang, XU Feng
2025, 20(1): 203-212. DOI: 10.19693/j.issn.1673-3185.04255
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Dynamic event trigger based cooperative path following control for multiple unmanned surface vehicles
LÜ Mingao, GU Nan, LIU Lu, WANG Anqing, WANG Dan, PENG Zhouhua
2025, 20(1): 213-222. DOI: 10.19693/j.issn.1673-3185.03774
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Data-driven unmanned surface vehicles trajectory tracking adaptive control
WANG Weikun, LIU Jiapeng, WANG Baofang, ZHAO Keqi, YU Jinpeng
2025, 20(1): 223-231. DOI: 10.19693/j.issn.1673-3185.03503
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Data-driven ship trajectory tracking control method
XIONG Yong, ZHOU Siwen, WANG XianFei, LYU Zhiyuan
2025, 20(1): 232-246. DOI: 10.19693/j.issn.1673-3185.03542
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Adaptive surge control of variable-mass unmanned surface vehicle based on super-twisting sliding mode observation
YAN Zhaokun, YANG Guanyu, WANG Hongdong
2025, 20(1): 247-262. DOI: 10.19693/j.issn.1673-3185.03517
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BLF-based adaptive path following control for unmanned surface vehicles under shallow water effects
GUO Qiang, WANG Jiaqi, ZHANG Xianku, MA Daocheng
2025, 20(1): 263-271. DOI: 10.19693/j.issn.1673-3185.04240
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Fishing vessel track-keeping control based on closed-loop gain shaping algorithm under rough sea conditions
SUI Jianghua, GUO Teer, SONG Chunyu
2025, 20(1): 272-277. DOI: 10.19693/j.issn.1673-3185.03728
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Ship heading and trajectory control method based on L1-GPR
LI Shijie, HE Jiawei, LIU Jialun, LIU Taixu, XU Chengqi
2025, 20(1): 278-288. DOI: 10.19693/j.issn.1673-3185.03888
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Fault-tolerant control for ships with thruster faults based on improved adaptive control allocation
LANG Qi, XU Haixiang, YU Wenzhao, DU Zhe, WANG Hongmei, CHEN Jinlong
2025, 20(1): 289-299. DOI: 10.19693/j.issn.1673-3185.04191
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Vertical stabilization of catamaran based on low-high gain feedback control and extended state observer
ZHANG Jun, SHEN Qiqing, REN Junjie, LIU Zhilin
2025, 20(1): 300-308. DOI: 10.19693/j.issn.1673-3185.04010
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Adaptive neural control for marine autonomous surface ships in cross-water scenarios
YE Xiang, CHEN Chao, JIA Jian Xiong, CHEN Hang
2025, 20(1): 309-316. DOI: 10.19693/j.issn.1673-3185.03609
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Ship path-following control method based on MPC-IMFAC
LI Shijie, LIU Taixu, LIU Jialun, XU Chengqi, HE Jiawei
2025, 20(1): 317-325. DOI: 10.19693/j.issn.1673-3185.03629
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A neural dynamics model prediction-based adaptive control system for AUV formation control
ZHANG Jiwen, XU Bo, WANG Chuyan, WANG Zhaoyang
2025, 20(1): 326-339. DOI: 10.19693/j.issn.1673-3185.04045
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Near-surface motion modeling and wave-following control of AUVs
WANG Yi, WANG Xuan, WANG Jianyao, LI Xiangheng
2025, 20(1): 340-349. DOI: 10.19693/j.issn.1673-3185.04186
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Design of AUV controller based on improved PPO algorithm
XU Desheng, XU Chunhui
2025, 20(1): 350-359. DOI: 10.19693/j.issn.1673-3185.04031
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Distributed three-dimensional affine formation maneuver control for multiple autonomous underwater vehicles
YAO Mingqi, YU Lin, GUO Kai, LU Yu, QIAO Lei
2025, 20(1): 360-368. DOI: 10.19693/j.issn.1673-3185.03696
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