Identification of Abkowitz Model for Ship Manoeuvring Motion Using ε -Support Vector Regression

[1]  K Nomoto On the steering qualities of ships , 1957 .

[2]  M S Chislett,et al.  PLANAR MOTION MECHANISM TESTS AND FULL SCALE STEERING AND FULL SCALE STEERING MANEUVERING PREDICTIONS FOR A MARINER CLASS VESSEL , 1965 .

[3]  H Kasai,et al.  On the mathematical model of manoeuvring motion of ships , 1978 .

[4]  M A Abkowitz,et al.  MEASUREMENT OF HYDRODYNAMIC CHARACTERISTICS FROM SHIP MANEUVERING TRIALS BY SYSTEM IDENTIFICATION , 1980 .

[5]  C. Guedes Soares,et al.  Dynamic model of manoeuvrability using recursive neural networks , 2003 .

[6]  Mahmoud Haddara,et al.  Effect of the damping and excitation on the identification of the hydrodynamic parameters for an underwater robotic vehicle , 2003 .

[7]  Wei-Chung Chen,et al.  A recursive neural networks model for ship maneuverability prediction , 2004, Oceans '04 MTS/IEEE Techno-Ocean '04 (IEEE Cat. No.04CH37600).

[8]  S. K. Bhattacharyya,et al.  A FREQUENCY DOMAIN SYSTEM IDENTIFICATION METHOD FOR LINEAR SHIP MANEUVERING , 2005 .

[9]  Vladimir Vapnik,et al.  Universal learning technology : Support vector machines , 2005 .

[10]  S. K. Bhattacharyya,et al.  Parametric Identification for Nonlinear Ship Maneuvering , 2006 .

[11]  Zao-Jian Zou,et al.  Identification of Response Models of Ship Maneuvering Motion Using Support Vector Machines , 2007 .

[12]  Tieshan Li,et al.  Application of support vector machine to ship steering , 2009 .

[13]  W. L. Luo,et al.  Parametric Identification of Ship Maneuvering Models by Using Support Vector Machines , 2009 .