Researching | Finite time trajectory tracking of underactuated ship based on adaptive neural network

Chinese Journal of Ship Research, Volume. 17, Issue 4, 24(2022)

Finite time trajectory tracking of underactuated ship based on adaptive neural network

Qiang ZHANG, Yaping ZHU, Xiangfei MENG, Shuhao ZHANG, and Yancai HU

Author Affiliations

School of Navigation and Shipping, Shandong Jiaotong University, Weihai 264200, China

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Figures & Tables(9)

Fig. 1. [in Chinese]

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Fig. 2. Actual and reference trajectories in plane船舶在平面内的实际轨迹和参考轨迹

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Fig. 3. [in Chinese]

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Fig. 4. [in Chinese]

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Fig. 5. Surge velocity 推进速度

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Fig. 6. Yaw angle rate r转艏角速度

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Fig. 7. [in Chinese]

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Fig. 8. [in Chinese]

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Fig. 9. Control input of 控制输入

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Qiang ZHANG, Yaping ZHU, Xiangfei MENG, Shuhao ZHANG, Yancai HU. Finite time trajectory tracking of underactuated ship based on adaptive neural network[J]. Chinese Journal of Ship Research, 2022, 17(4): 24

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Paper Information

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Received: Oct. 24, 2021

Accepted: --

Published Online: Mar. 26, 2025

The Author Email:

DOI:10.19693/j.issn.1673-3185.02564

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology