[3] [3] WANG S W, YAN X P, MA F, et al. A novel path following approach for autonomous ships based on fast marching method and deep reinforcement learning[J]. Ocean Engineering, 2022, 257: 111495.

[4] [4] WANG S Z, SUN Z Y, YUAN Q M, et al. Autonomous piloting and berthing based on long short time memory neural networks and nonlinear model predictive control algorithm[J]. Ocean Engineering, 2022, 264: 112269.

[5] [5] LIU Y, BU R X, GAO X R. Ship trajectory tracking control system design based on sliding mode control algorithm[J]. Polish Maritime Research, 2018, 25(3): 26-34.

[6] [6] HUO H W. Research on unmanned ship control system based on fuzzy PID[C]//Journal of Physics: Conference Series. Lijiang: IOP Publishing Ltd., 2021, 1852: 022066.

[7] [7] LIU Z Q. Practical backstepping control for underactuated ship path following associated with disturbances[J]. IET Intelligent Transport Systems, 2019, 13(5): 834-840.

[13] [13] TANG L G, WANG L, WANG Y T, et al. An enhanced trajectory tracking control of the dynamic positioning ship based on nonlinear model predictive control and disturbance observer[J]. Ocean Engineering, 2022, 265: 112482.

[15] [15] ZHANG T, SHI P, LI W L, et al. EKF enhanced MPC for rapid attitude stabilization of space robots with bounded control torque in postcapture[J]. Journal of the Franklin Institute, 2023, 360(11): 7105-7127.

[16] [16] SOLIMAN A I, FARHAN A, KAHIA B. Direct sensorless model predictive control of induction motor for three-level inverter based on extended Kalman filter[C]//21st International Middle East Power Systems Conference (MEPCON). Cairo: IEEE, 2019: 976-981.

[18] [18] FOSSEN T I. Handbook of marine craft hydrodynamics and motion control[M]. New York: John Wiley and Sons Ltd., 2011.

[20] [20] SKJETNE R, SMOGELI Y, FOSSEN T I. Modeling, identification, and adaptive maneuvering of CyberShip II: a complete design with experiments[J]. IFAC Proceedings Volumes, 2004, 37(10): 203-208.