REAL-TIME PARAMETER ESTIMATION OF NONLINEAR VESSEL STEERING MODEL USING SUPPORT VECTOR MACHINE

被引：0
|
作者：
Xu, Haitong [1 ]
Hassani, Vahid [2 ]
Hinostroza, M. A. [1 ]
Guedes Soares, C. [1 ]
机构：
[1] Univ Lisbon, Inst Super Tecn, Ctr Marine Technol & Ocean Engn CENTEC, Lisbon, Portugal
[2] Norwegian Univ Sci & Technol, Dept Marine Technol, Trondheim, Norway
来源：
PROCEEDINGS OF THE ASME 37TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING, 2018, VOL 11B | 2018年
关键词：
MATHEMATICAL-MODELS; MANEUVERING MODELS; IDENTIFICATION;
D O I：
暂无
中图分类号：
U6 [水路运输]; P75 [海洋工程];
学科分类号：
0814 ; 081505 ; 0824 ; 082401 ;
摘要：
The Least-square support vector machine (LS-SVM) is used to estimate the dynamic parameters of a nonlinear marine vessel steering model in real-time. First, manoeuvring tests are carried out based on a scaled free-running ship model. The parameters are estimated using standard LS-SVM and compared with the theoretical solutions. Then, an online version, a sequential least square support vector machine, is derived and used to estimate the parameters of vessel steering in real-time. The results are compared with the values estimated by standard LS-SVM with batched training data. By comparison, sequential least square support vector machine can dynamically estimate the parameters successfully, and it can be used for designing a dynamic model-based controller of marine vessels.
引用
收藏
页数：10
相关论文
共 50 条
  • [1] Real-Time Parameter Estimation of a Nonlinear Vessel Steering Model Using a Support Vector Machine
    Xu, Haitong
    Hinostroza, M. A.
    Hassani, Vahid
    Soares, C. Guedes
    JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME, 2019, 141 (06):
  • [2] Real-time flood forecast using a Support Vector Machine
    Li, Xiaoli
    Lu, Haishen
    An, Tianqing
    Jia, Yangwen
    Liu, Di
    HYDROLOGICAL CYCLE AND WATER RESOURCES SUSTAINABILITY IN CHANGING ENVIRONMENTS, 2011, 350 : 584 - +
  • [3] DYNAMIC PARAMETER ESTIMATION OF A NONLINEAR VESSEL STEERING MODEL FOR OCEAN NAVIGATION
    Perera, Lokukaluge P.
    Oliveira, Paulo
    Guedes Soares, C.
    OMAE2011: PROCEEDINGS OF THE ASME 30TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING, VOL 6: OCEAN ENGINEERING, 2011, : 881 - +
  • [4] Support vector machine based real-time terrain estimation for tracked robots
    Sebastian, Bijo
    Ben-Tzvi, Pinhas
    MECHATRONICS, 2019, 62
  • [5] Real-time Pedestrian Detection Using a Support Vector Machine and Stixel Information
    Mi Thi-Tra Nguyen
    Vinh Dinh Nguyen
    Jeon, Jae Wook
    2017 17TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), 2017, : 1350 - 1355
  • [6] Real-time parameter estimation of Zika outbreaks using model averaging
    Sebrango-Rodriguez, C. R.
    Martinez-Bello, D. A.
    Sanchez-Valdes, L.
    Thilakarathne, P. J.
    Del Fava, E.
    Van Der Stuyft, P.
    Lopez-Quilez, A.
    Shkedy, Z.
    EPIDEMIOLOGY AND INFECTION, 2017, 145 (11): : 2313 - 2323
  • [7] Electromyography signal analysis with real-time support vector machine
    Murshid, Mohammad Manzur
    Salehi, Hassan S.
    SIGNAL PROCESSING, SENSOR/INFORMATION FUSION, AND TARGET RECOGNITION XXIX, 2020, 11423
  • [8] A Real-Time Model Based Support Vector Machine for Emotion Recognition Through EEG
    Viet Hoang Anh
    Manh Ngo Van
    Bang Ban Ha
    Thang Huynh Quyet
    2012 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND INFORMATION SCIENCES (ICCAIS), 2012, : 191 - 196
  • [9] Real-Time Classification of EMG Myo Armband Data Using Support Vector Machine
    Tepe, C.
    Demir, M. C.
    IRBM, 2022, 43 (04) : 300 - 308
  • [10] Real-time hand motion estimation using EMG signals with support vector machines
    Yoshikawa, Masahiro
    Mikawa, Masahiko
    Tanaka, Kazuyo
    2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13, 2006, : 4331 - +
12345