[1. Muscari R., Dubbioso G., Viviani M., Mascio A. D. (2017): Analysis of the asymmetric behavior of propeller–rudder system of twin screw ships by CFD. Ocean Engineering, 143, 269–281.10.1016/j.oceaneng.2017.07.056]Search in Google Scholar
[2. Lidtke A. D., Turnock S. R., Downes J. (2017): Hydrodynamic design of underwater gliders using k-kL-ω RANS transition model. IEEE Journal of Oceanic Engineering, 43(2), 356–368.]Search in Google Scholar
[3. Chen J., Wei J., Yang L. (2018): Hydrodynamic optimization of appendages on ROPAX by using CFD and model tests. Ship Building of China, 59(2), 33–41.]Search in Google Scholar
[4. Jianglong S., Haiwen T., Yongnian C., De X., Jiajian Z. (2016): A study on trim optimization for a container ship based on effects due to resistance. Journal of Ship Research, 60(1), 30–47.10.5957/JOSR.60.1.150022]Search in Google Scholar
[5. Haiwen T., Yunfei Y. et al. (2018): A modified admiralty coefficient for estimating power curves in EEDI calculations. Ocean Engineering, 150, 309–317.10.1016/j.oceaneng.2017.12.068]Search in Google Scholar
[6. Chuang Z., Steen S. (2013): Speed loss of a vessel sailing in oblique waves. Ocean Engineering, 64, 88–99.10.1016/j.oceaneng.2013.02.018]Search in Google Scholar
[7. Lee P.-M., Jun B.-H., Kim K.-H., Lee J.-H., Aoki T., Hyakudome T. (2007: Simulation of an inertial acoustic navigation system with range aiding for an autonomous underwater vehicle. IEEE Journal of Oceanic Engineering, 32(2), 327–345.10.1109/JOE.2006.880585]Search in Google Scholar
[8. Li B., Su T.-C. (2016): Nonlinear heading control of an autonomous underwater vehicle with internal actuators. Ocean Engineering, 125, 103–112.10.1016/j.oceaneng.2016.08.010]Search in Google Scholar
[9. Kim J.-Y., Kim K.-H., Choi H.-S., Seong W.-J., Lee K.-Y. (2002): Estimation of hydrodynamic coefficients for an AUV using nonlinear observers. IEEE Journal of Oceanic Engineering, 27(4), 830–840.10.1109/JOE.2002.805098]Search in Google Scholar
[10. Mansoorzadeh S., Javanmard E. (2014): An investigation of free surface effects on drag and lift coefficients of an autonomous underwater vehicle (AUV) using computational and experimental fluid dynamics methods. Journal of Fluids & Structures, 51(1), 161–171.10.1016/j.jfluidstructs.2014.09.001]Search in Google Scholar
[11. Gala F. L., Dubbioso G., Ortolani F., et al. (2012): Preliminary evaluation of control and manoeuvring qualities for the AUTODROP-UUV vehicle. IFAC Proceedings Volumes, 45(27), 132–137.10.3182/20120919-3-IT-2046.00023]Search in Google Scholar
[12. Li G. (2011): Numerical and experimental research on hydrodynamic characters of shuttle submersible. Harbin Engineering University, Harbin, 2011.]Search in Google Scholar
[13. Avila J. P. J., Adamowski J. C. (2011): Experimental evaluation of the hydrodynamic coefficients of a ROV through Morison’s equation. Ocean Engineering, 38(17), 2162–2170.10.1016/j.oceaneng.2011.09.032]Search in Google Scholar
[14. Xu F., Zou Z. J., Yin J. C., et al. (2013): Identification modeling of underwater vehicles’ nonlinear dynamics based on support vector machines. Ocean Engineering, 67, 68–76.10.1016/j.oceaneng.2013.02.006]Search in Google Scholar
[15. Zhao J.-X. (2011): The hydrodynamic performance calculation and motion simulation of an AUV with appendages. Harbin Engineering University, Harbin.]Search in Google Scholar
[16. Pang Y.-J., Wang Q.-Y., Li W.-P. (2017): Model test study of influence of propeller and its rotation on hydrodynamics of submarine maneuverability. Journal of Harbin Engineering University, 38(1), 109–114.]Search in Google Scholar
[17. Kijima K., Nakiri Y. (1990): On a numerical simulation for predicting of ship manoeuvring performance. 19th International Towing Tank Conference, Madrid, Spain, Vol. 2, 559–568.]Search in Google Scholar
[18. Maekawa K., Shuto C., Karasuno K., Nonaka K. (1999): Estimation of added mass coefficients mx’, my’ by using CFD through oblique towing test with constant acceleration. Journal of Kansai Society of Naval Architects Japan, 232, 55–61.]Search in Google Scholar
[19. Kijima K., Nakari Y., Furukawa Y. (2000): On a prediction method for ship manouevrability. International Workshop on Ship Manoeuvrability at the Hamburg Ship Model Basin, Hamburg, Germany, pp. 536–543.]Search in Google Scholar
[20. Petersen, J. B., Lauridsen, B. (2000): Prediction of hydrodynamic forces from a database of manoeuvring derivatives. MARSIM 2000, Orlando, FL, USA, pp. 401–420.]Search in Google Scholar
[21. Yang C.-F., Wu B.-S., Shen H.-C. (2006): Analysis of experiment validation for full- ship maneuverability hydrodynamic forces prediction. Journal of Ship Mechanics, 10(4), 559–568.]Search in Google Scholar
[22. Gao T., Wang Y.-X., Pang Y.-J., Chen Q.-L., Tang Y.-G. (2018): A time-efficient CFD approach for hydrodynamic coefficient determination and model simplification of submarine. Ocean Engineering, 154, 16–26.10.1016/j.oceaneng.2018.02.003]Search in Google Scholar
[23. Stewart D. (1966): A platform with six degrees of freedom. Aircraft Engineering and Aerospace Technology, 38(4), 30–35.10.1108/eb034141]Search in Google Scholar
[24. Yurt S. N., Ozkol I., Hajiyev C. (2004): Error analysis and motion determination of a flight simulator. Aircraft Engineering and Aerospace Technology, 76(2), 185–192.10.1108/00022660410526051]Search in Google Scholar
[25. Landry S. J., Jacko J. (2012): Pilot Procedure-Following Behavior during Closely Spaced Parallel Approaches. International Journal of Human-Computer Interaction, 28(2), 131–139.10.1080/10447318.2012.634766]Search in Google Scholar
[26. Phoemsapthawee S., Le Boulluec M. (2013): A potential flow based flight simulator for an underwater glider. Journal of Marine Science and Application, 12(1), 112–121.10.1007/s11804-013-1165-x]Search in Google Scholar
[27. Kim G. S. (2007): Design of a six-axis wrist force/moment sensor using FEM and its fabrication for an intelligent robot. Sensors and Actuators A Physical, 133(1), 27–34.10.1016/j.sna.2006.03.038]Search in Google Scholar
[28. Nekrasov V: (2019): Mean-Square Non-Local Stability of Ship in Storm Conditions of Operation. Polish Maritime Research, 26(4), 6-15.10.2478/pomr-2019-0061]Search in Google Scholar
[29. Kun D., Yunbo L. (2019): Manoeuvring Prediction of KVLCC2 with Hydrodynamic Derivatives Generated by a Virtual Captive Model Test. Polish Maritime Research, 26(4), 16-26.10.2478/pomr-2019-0062]Search in Google Scholar
[30. CSSRC (2018): Ship test report for KELC tank ship. Report (Wuhan China), pp. 17–24.]Search in Google Scholar