Results 31 to 40 of about 19,894 (59)

Fishing vessel track-keeping control based on closed-loop gain shaping algorithm under rough sea conditions

Zhongguo Jianchuan Yanjiu
ObjectiveIn order to solve the track-keeping problem of a fishing vessel under rough sea conditions, a separated track-keeping controller is proposed.MethodsThe nonlinear feedback method is used to improve the closed-loop gain shaping algorithm, and an ...
Jianghua SUI, Teer GUO, Chunyu SONG
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Adaptive neural control for marine autonomous surface ships in cross-water scenarios

Zhongguo Jianchuan Yanjiu
ObjectiveAn adaptive neural control (ANC) scheme with specified performance is proposed for the tracking control of marine autonomous surface ships (MASS) subject to uncertain model parameters and unknown external environmental disturbances in cross ...
Xiang YE, Chao CHEN, Jian Xiong JIA, Hang CHEN   +3 more
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Parameter identification of unmanned surface vehicle MMG model based on an improved extended Kalman filter

Zhongguo Jianchuan Yanjiu
ObjectivesTo construct an accurate MMG （mathematical model group） model for a water-jet propulsion unmanned surface vehicle, the traditional extended Kalman filter algorithm and improved extended Kalman filter algorithm are combined with the real-world ...
Pengbo SUN, Zaopeng DONG, Wei LIU, Jinliang SHENG, Zhihao LI   +4 more
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Prediction of ship maneuvering motion in regular wave with gray-box modelling

Zhongguo Jianchuan Yanjiu
ObjectivesAiming at the requirements of the real-time and accurate prediction of ship maneuvering motion, this paper investigates the prediction of ship maneuvering motion in regular waves using gray-box modelling to improve the accuracy.
Yang HAN, Lizhu HAO, Chao SHI, Ziying PAN, Jiang LU, Min GU   +5 more
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Adaptive online modeling of ship maneuvering motion based on error monitoring

Zhongguo Jianchuan Yanjiu
ObjectiveAiming to address the problem of model inaccuracy caused by ship dynamic changes during actual navigation, this study proposes an adaptive online modeling method for ship maneuvering motion based on an error monitoring mechanism.
Yaohui YU, Suyang LIU, Zihao WANG, Wenbo XIE, Yan PENG   +4 more
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Ship global path planning based on improved DQN algorithm

Zhongguo Jianchuan Yanjiu
ObjectiveIn order to improve the economy and safety of ship navigation path in actual sea environment, this paper proposes a ship global path planning method with an improved Deep Q-Network (DQN) algorithm.MethodFirst, a prioritized experience replay ...
Wei GUAN, Sheng QU, Xianku ZHANG, Tongbo HU   +3 more
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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

Zhongguo Jianchuan Yanjiu
ObjectiveTo address the challenges of path planning for unmanned surface vehicles in complex waters, this paper proposes an improved ant colony optimization（ACO）algorithm based on uneven distributed pheromone and multi-objective optimization.MethodsFirst,
Guobing XIE, Wei HE, Wangwen HU, Yixin Su, Binghua SHI   +4 more
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Ship local path planning method based on three-dimensional potential field model

Zhongguo Jianchuan Yanjiu
Objectives To make local path planning algorithms more consistent with the maneuvering characteristics of ships, thereby generating safer and more reliable reference paths, this paper proposes a three-dimensional potential field modeling method ...
Qunpeng WANG, Longhao LI, Hongxu GUAN, Jialun LIU, Jianzhe CAI, Zhengrong SHA, Jinshui ZHANG   +6 more
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Ship path planning and tracking based on rapidly exploring random tree star and convex optimization

Zhongguo Jianchuan Yanjiu
ObjectivesTo address the challenges of path planning and tracking for underactuated ships in obstacle-filled waters, this paper proposes a ship path planning and tracking algorithm based on the rapidly exploring random tree (RRT*) and convex optimization.
Chang ZHOU, Te YU, Jiapeng LIU, Dihua LU, Qingshan ZENG   +4 more
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Autonomous decision-making method of unmanned ship based on improved DDPG algorithm

Zhongguo Jianchuan Yanjiu
ObjectivesTo enhance the safety and efficiency of maritime traffic, this paper proposes an autonomous collision avoidance decision-making method for unmanned ships based on an enhanced Deep Deterministic Policy Gradient (DDPG) algorithm. Methods In order
Wei GUAN, Shuhui HAO, Zhewen CUI, Miaomiao WANG   +3 more
doaj   +1 more source