[1] NAGUMO J, NODA A. A learning method for system identification[J]. IEEE Transactions on Automatic Control, 12, 282-287(1967).

[2] ABKOWITZ M A. Measurement of hydrodynamic characteristics from ship maneuvering trials by system identification[J]. SNAME Transactions, 88, 283-318(1980).

[4] HADDARA M R, WANG Y. Parametric identification of manoeuvring models for ships[J]. International Shipbuilding Progress, 46, 5-27(1999).

[6] ZHANG X G, ZOU Z J. Black-box modeling of ship manoeuvring motion based on feed-forward neural network with Chebyshev orthogonal basis function[J]. Journal of Marine Science and Technology, 18, 42-49(2013).

[7] UENO K, KIMURA N, AMAGAI K. Estimation of coefficients of the equation of nonlinear roll motion for fishing boats by improved energy method and genetic algorithm[J]. Japan Journal of Industrial and Applied Mathematics, 20, 155-192(2003).

[8] LUO W L, ZOU Z J. Parametric identification of ship maneuvering models by using support vector machines[J]. Journal of Ship Research, 53, 19-30(2009).

[9] LUO W L, GUEDES SOARES C, ZOU Z J. Parameter identification of ship maneuvering model based on support vector machines and particle swarm optimization[J]. Journal of Offshore Mechanics and Arctic Engineering, 138, 031101(2016).

[10] ZHU M, HAHN A, WEN Y Q et al. Identification-based simplified model of large container ships using support vector machines and artificial bee colony algorithm[J]. Applied Ocean Research, 68, 249-261(2017).

[12] WANG X G, ZOU Z J, HOU X R et al. System identification modelling of ship manoeuvring motion based on ε-support vector regression[J]. Journal of Hydrodynamics, 27, 502-512(2015).

[13] HWANG W Y. Cancellation effect and parameter identifiability of ship steering dynamics[J]. International Shipbuilding Progress, 29, 90-102(1982).

[14] [14] RHEE K P, LEE S Y, SUNG Y J. Estimation of manoeuvring coefficients from PMM test by geic algithm[C]International Symposium Wkshop on Fce Acting on a Manoeuvring Vessel. Val de Reuil, France, 1998: 7787.

[15] LUO W L, LI X Y. Measures to diminish the parameter drift in the modeling of ship manoeuvring using system identification[J]. Applied Ocean Research, 67, 9-20(2017).

[24] XU F, LIU Z P, ZHENG H B et al. On-line modeling of ship maneuvering motion based on LS-SVM[J]. Ship Mechanics, 25, 752-759(2021).

[25] HU Y, SONG L F, LIU Z Y et al. Identification of ship hydrodynamic derivatives based on LS-SVM with wavelet threshold denoising[J]. Journal of Marine Science and Engineering, 9, 1356(2021).

[26] SONG L F, HAO L, TAO H et al. Research on black-box modeling prediction of USV maneuvering based on SSA-WLS-SVM[J]. Journal of Marine Science and Engineering, 11, 324(2023).