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基于支持向量机的船舶操纵运动黑箱建模

徐锋 邹早建 徐小卡 尹建川

徐锋, 邹早建, 徐小卡, 等 . 基于支持向量机的船舶操纵运动黑箱建模[J]. 北京航空航天大学学报, 2013, 39(11): 1553-1557.
引用本文: 徐锋, 邹早建, 徐小卡, 等 . 基于支持向量机的船舶操纵运动黑箱建模[J]. 北京航空航天大学学报, 2013, 39(11): 1553-1557.
Xu Feng, Zou Zaojian, Xu Xiaoka, et al. Black-box modeling of ship manoeuvring motion based on support vector machines[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(11): 1553-1557. (in Chinese)
Citation: Xu Feng, Zou Zaojian, Xu Xiaoka, et al. Black-box modeling of ship manoeuvring motion based on support vector machines[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(11): 1553-1557. (in Chinese)

基于支持向量机的船舶操纵运动黑箱建模

基金项目: 国家自然科学基金资助项目(50979060,51079031)
详细信息
  • 中图分类号: U661.33+1

Black-box modeling of ship manoeuvring motion based on support vector machines

  • 摘要: 根据船舶自航模15°/5°Z形试验结果,应用最小二乘支持向量机对船舶操纵运动进行了黑箱建模,针对支持向量机参数选择的不确定性,使用网格搜索法进行了参数寻优;应用所建立的支持向量机回归模型对该自航模的10°/1°,25°/5°Z形试验及35°回转试验进行了操纵运动预报.预报结果同试验结果相比吻合良好,证明了支持向量机应用于船舶操纵运动黑箱建模的有效性,以及网格搜索法在支持向量机参数寻优中的可行性.

     

  • [1] Haddara M R, Wang Y.Parametric identification of maneuvering models for ships[J].International Shipbuilding Progress, 1999, 46 (445):5-27
    [2] Mahfouz A B, Haddara M R.Effects of the damping and excitation on the identification of the hydrodynamic parameters for an underwater robotic vehicle[J].Ocean Engineering, 2003, 30 (8):1005-1025
    [3] Hess D, Faller W, Minnick L, et al.Maneuvering simulation of Sea Fighter using a fast nonlinear time domain technique[C]//9th International Conference on Numerical Ship Hydrodynamics.Michigan:University of Michigan, 2007
    [4] Hess D, Faller W, Lee J.Real-time nonlinear simulation of maneuvers for US navy combatant DTMB 5415[C]//SIMMAN 2008, Workshop on Verification and Validation of Ship Manoeuvring Simulation Methods, 2008
    [5] Luo W L, Zou Z J.Parametric identification of ship maneuvering models by using support vector machines[J].Journal of Ship Research, 2009, 53 (1):19-30
    [6] Luo W L, Zou Z J, Li T S.Application of support vector machine to ship steering[J].Journal of Shanghai Jiao Tong University:Science Edition, 2009, 14 (4):462-466
    [7] Vapnik V N.The nature of statistical learning theory[M].2nd ed.New York:Springer, 1999
    [8] 李殿璞.船舶运动与建模[M].北京:国防工业出版社, 2008 Li Dianpu.Ship motion and modeling[M].Beijing:National Defense Industry Press, 2008 (in Chinese)
    [9] 祁亨年.支持向量机及其应用研究综述[J].计算机工程, 2004, 30 (10):6-9 Qi Hengnian.Support vector machines and application research overview[J].Computer Engineering, 2004, 30 (10):6-9 (in Chinese)
    [10] Suykens J A, Vandewalle J, De Moor B.Optimal control by least squares support vector machines[J].Neural Networks, 2001, 14 (1):23-35
    [11] 史峰, 王小川, 郁磊, 等.MATLAB神经网络30个案例分析[M].北京:北京航空航天大学出版社, 2010 Shi Feng, Wang Xiaochuan, Yu Lei, et al.MATLAB neural network analysis of 30 cases[M].Beijing:Beijing University of Aeronautics & Astronautics Press, 2010 (in Chinese)
    [12] SIMMAN 2008.Workshop on verification and validation of ship manoeuvring simulation methods.Copenhagen: [C/OL], 2008-04.http://www.simman2008.dk/
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出版历程
  • 收稿日期:  2012-12-14
  • 网络出版日期:  2013-11-30

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