CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12257 > Article
Paper
1 August 2022 Ship maneuvering motion model identification based on Least Squares Support Vector Regression with multi-excitation difference method
Maosheng Wei, Jin Huang, Shuanghe Yu, Shuangshuang Yu
Author Affiliations +
Proceedings Volume 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022); 122570K (2022) https://doi.org/10.1117/12.2640162
Event: 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 2022, Guangzhou, China
Abstract
With a view to the accuracy of identifying ship hydrodynamic parameters using least squares support vector regression (LS-SVR), a LS-SVR based on multi-excitation difference method is proposed. In this method, the aperiodic excitation samples composed of zigzag maneuvering and rotary maneuvering are used as the input samples. Meanwhile, considering the parameter drift caused by the multicollinearity of the identified samples in the ship hydrodynamic model, the difference method is used to reduce the correlation coefficient between the input samples. The simulation study on the Abkowitz dynamics model of Mariner is carried out to test the proposed LS-SVR based on multi-excitation difference method. The simulation results show that the proposed identification method which is LS-SVR based on multi excitation difference method is more accurate through the comparison with LS-SVR base on zigzag maneuvering input samples using single periodic signal.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Maosheng Wei, Jin Huang, Shuanghe Yu, and Shuangshuang Yu "Ship maneuvering motion model identification based on Least Squares Support Vector Regression with multi-excitation difference method", Proc. SPIE 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 122570K (1 August 2022); https://doi.org/10.1117/12.2640162
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 9 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Motion models
Mathematical modeling
System identification
Complex systems
Data acquisition
Error analysis
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top