Home Journals Articles Updates About
CN
image
收藏切换
Tuning of ship motion control parameters based on identified nonparametric model
收藏切换
PDF
Zi-lu OUYANG1, Hong-wei HE2, Yu HE1, Lu ZOU1, 3, Zao-jian ZOU1, 3
Journal of Ship Mechanics | 2025, 29(12) : 1862 - 1873
Less
收藏切换
Journal of Ship Mechanics | 2025, 29(12): 1862-1873
• Hydrodynamics •
Tuning of ship motion control parameters based on identified nonparametric model
Full
Zi-lu OUYANG1, Hong-wei HE2, Yu HE1, Lu ZOU1, 3, Zao-jian ZOU1, 3
Affiliations
  • 1.School of Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • 2.Ghent University, Ghent 9052, Belgium
  • 3.State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Published: 2025-12-15 doi: 10.3969/j.issn.1007-7294.2025.12.004
Outline
收藏切换

The identified nonparametric model was used to tune the control parameters of the ship motion. Local Gaussian Process Regression (LGPR) method was utilized to model and predict the ship motion based on the collected ship motion data. The tuning of control parameters was converted to an optimization problem. The fitness function was designed to improve the control performances, and Genetic Algorithm (GA) was applied to tune the control parameters. The simulation results demonstrate that the proposed method has satisfactory control accuracy and dynamic performances in the path following and obstacle avoidance control.

ship maneuvering  /  nonparametric model  /  Gaussian Process Regression  /  motion control  /  obstacle avoidance
Zi-lu OUYANG, Hong-wei HE, Yu HE, Lu ZOU, Zao-jian ZOU. Tuning of ship motion control parameters based on identified nonparametric model[J]. Journal of Ship Mechanics, 2025 , 29 (12) : 1862 -1873 . DOI: 10.3969/j.issn.1007-7294.2025.12.004
Appendix
Less
Year 2025 volume 29 Issue 12
PDF
175
87
Cite this Article
BibTeX
Article Info
doi: 10.3969/j.issn.1007-7294.2025.12.004
  • Receive Date：2025-07-10
  • Online Date：2026-07-07
  • Published：2025-12-15
Article Data
Affiliations
History
  • Received：2025-07-10
Affiliations
    1.School of Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
    2.Ghent University, Ghent 9052, Belgium
    3.State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
References
Share
https://castjournals.cast.org.cn/joweb/cblx/EN/10.3969/j.issn.1007-7294.2025.12.004
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
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
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House