• DocumentCode
    2574175
  • Title

    Identification of submarine´s response model in vertical plane based on support vector machines

  • Author

    Xu Feng ; Zou Zao-Jian ; Song Xin

  • Author_Institution
    Sch. of Naval Archit., Ocean & Civil Eng., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2011
  • fDate
    27-29 June 2011
  • Firstpage
    455
  • Lastpage
    458
  • Abstract
    In this paper, submarine´s response model in vertical plane is transferred into state space model using ´white box´ theory of linear system. Least square support vector machine (LS-SVM) is used to identify zigzag test of submarine´s response model in vertical plane and the identification results verify the validity of this method. The difference of model identification between fixed rudder angle and variable rudder angle is pointed out. Therefore, an emendatory method which is proved to be proper in the simulation test is put forward.
  • Keywords
    identification; least squares approximations; linear systems; support vector machines; underwater vehicles; LS-SVM; fixed rudder angle; least square support vector machine; linear system; state space model; submarine response model identification; variable rudder angle; white box theory; zigzag test identification; Artificial neural networks; Mathematical model; Oceans; Predictive models; Support vector machines; System identification; Underwater vehicles; Model Identification; Response model; Support Vector Machine; Vertical Plane;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Service System (CSSS), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9762-1
  • Type

    conf

  • DOI
    10.1109/CSSS.2011.5972146
  • Filename
    5972146