Analysis of Impact of Ship Model Parameters on Changes of Control Quality Index in Ship Dynamic Positioning System

1. Boulkroune, A., N. Bounar, M. M’Saad, M. Farza: Indirect adaptive fuzzy control scheme based on observer for nonlinear systems: A novel SPR-filter approach, Neurocomputing. 135, 2014 pp. 378–387.10.1016/j.neucom.2013.12.011Search in Google Scholar

2. Buhmann, M.D.: Radial basis functions: theory and implementations, Cambridge University Press 2003.10.1017/CBO9780511543241Search in Google Scholar

3. Chan, A.K., G.A. Becus: Online adaptation of RBF centers for adaptive control, in: Proceedings of 1995 American Control Conference – ACC’95, American Autom Control Council, 1995 pp. 3770–3774.Search in Google Scholar

4. Cover, T.M.: Geometrical and Statistical Properties of Systems of Linear Inequalities with Applications in Pattern Recognition, IEEE Transactions on Electronic Computers 1965, pp. 326-334.10.1109/PGEC.1965.264137Search in Google Scholar

5. Cpałka, K.: Design of Interpretable Fuzzy Systems, Springer 2017.10.1007/978-3-319-52881-6Search in Google Scholar

6. Du, J., X. Hu, H. Liu, C.L.P. Chen: Adaptive robust output feedback control for a marine dynamic positioning system based on a high-gain observer, IEEE Transactions on Neural Networks and Learning Systems. 26, 2015, pp. 2775–2786.10.1109/TNNLS.2015.239604425769172Search in Google Scholar

7. Fossen, T.I., S.P. Berge: Nonlinear vectorial backstepping design for global exponential tracking of marine vessels in the presence of actuator dynamics, in: Proceedings of the 36th IEEE Conference on Decision and Control, IEEE, 1998, pp. 4237–4242.Search in Google Scholar

8. Kang Y., Li D., Lao D.: Performance Robustness Comparison of Active Disturbance Rejection Control and Adaptive Backstepping Sliding Mode Control. In: Xiao T., Zhang L., Fei M. (eds) AsiaSim 2012. AsiaSim 2012. Communications in Computer and Information Science, vol 324. Springer, Berlin, Heidelberg10.1007/978-3-642-34390-2_32Search in Google Scholar

9. Katebi, M.R., M.J. Grimble, Y. Zhang: H∞ robust control design of dynamic ship positioning, IEE Process Control Theory Application. 144, 1997, pp. 110–120.10.1049/ip-cta:19971030Search in Google Scholar

10. Krstić, M., I. Kanellakopoulos, P. Kokotović: Nonlinear and adaptive control design, Wiley 1995.Search in Google Scholar

11. Kuczkowski Ł., Śmierzchalski R. (2017) Path planning algorithm for ship collisions avoidance in environment with changing strategy of dynamic obstacles. In: Mitkowski W., Kacprzyk J., Oprzędkiewicz K., Skruch P. (eds) Trends in Advanced Intelligent Control, Optimization and Automation. KKA 2017. Advances in Intelligent Systems and Computing, vol 577. Springer, Cham, pp. 641–650.10.1007/978-3-319-60699-6_62Search in Google Scholar

12. Kwan, C., F.L. Lewis: Robust backstepping control of nonlinear systems using neural networks, Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions Vol. 30, No.6, 2000, pp. 753–766.10.1109/3468.895898Search in Google Scholar

13. Linkens, D.A., Mahfouf, M. Abood, M.: Self-adaptive and self-organising control applied to nonlinear multivariable anesthesia: a comparative model-based study, IEE Proceedings-D, vol. 139, No. 4, July 1992, pp. 381-39410.1049/ip-d.1992.0050Search in Google Scholar

14. Lisowski, J.: Game control methods in avoidance of ships collisions, Polish Maritime Research, No. 19, 2012, pp. 3–10.10.2478/v10012-012-0016-4Search in Google Scholar

15. Lisowski, J., A. Lazarowska: The radar data transmission to computer support system of ship safety, Solid State Phenomena. 196, 2013, pp. 95–101.10.4028/www.scientific.net/SSP.196.95Search in Google Scholar

16. Mingyu, F., X. Yujie, Z. Li: Bio-inspired Trajectory Tracking Algorithm for Dynamic Positioning Ship with System Uncertainties, Proceedings of the 35th Chinese Control Conference, 2016, pp. 4562–4566.Search in Google Scholar

17. Niksa-Rynkiewicz,T.,Szłapczyński R.: A framework of a ship domain – based near-miss detection method using Mamdani neuro-fuzzy classification, Polish Maritime Research, SI (97), 2018, vol. 25, pp. 14-21.10.2478/pomr-2018-0017Search in Google Scholar

18. Orr, M.J.L.: Introduction to Radial Basis Function Networks, 1996.Search in Google Scholar

19. Sorensen, A.: A survey of dynamic positioning control systems, Annual Reviews in Control, 35, 2011, pp. 123–136.10.1016/j.arcontrol.2011.03.008Search in Google Scholar

20. Swaroop, D., J.K. Hedrick, P.P. Yip, J.C. Gerdes: Dynamic surface control for a class of nonlinear systems, IEEE Transactions on Automatic Control. 45, 2000, pp. 1893–1899.10.1109/TAC.2000.880994Search in Google Scholar

21. Szczypta J., Przybył A., Cpałka K. (2013) Some Aspects of Evolutionary Designing Optimal Controllers. In: Rutkowski L., Korytkowski M., Scherer R., Tadeusiewicz R., Zadeh L.A., Zurada J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2013. Lecture Notes in Computer Science, vol 7895. Springer, Berlin, Heidelberg.10.1007/978-3-642-38610-7_9Search in Google Scholar

22. Szlapczynski, R., J. Szlapczynska: Customized crossover in evolutionary sets of safe ship trajectories, International Journal of Applied Mathematics and Computer Science. 22, 2012.10.2478/v10006-012-0074-xSearch in Google Scholar

23. Tannuri, E.A., A.C. Agostinho, H.M. Morishita, L. Moratelli: Dynamic positioning systems: An experimental analysis of sliding mode control, Control Engineering Practice. 18, 2010, pp. 1121–1132.10.1016/j.conengprac.2010.06.007Search in Google Scholar

24. Witkowska, A., R. Śmierzchalski: Adaptive Dynamic Control Allocation for Dynamic Positioning of Marine Vessel Based on Backstepping Method and Sequential Quadratic Programming. Ocean Engineering 163, 2018, pp. 570-582.10.1016/j.oceaneng.2018.05.061Search in Google Scholar

25. Witkowska, A., T. Niksa-Rynkiewicz: Motion control of dynamically positioned unit by using backstepping method and artificial neural networks, to be published in Polish Maritime Research.Search in Google Scholar

26. Yang, Y., J. Du, G. Li, W. Li, C. Guo: Dynamic Surface Control for Nonlinear Dynamic Positioning System of Ship, in: Advances in Intelligent and Soft Computing, Springer, Berlin, Heidelberg, 2012, pp. 237–244.10.1007/978-3-642-27329-2_33Search in Google Scholar

27. Ye, L., Zong, Q., Zhang, X.: Cascade Disturbance Rejection Control of the Uncertain Nonlinear Systems with Nonlinear Parameterization, Proceedings of the 34^th Chinese Control Conference, July 28-30, 2015, Hangzhou, China, pp. 991-996.Search in Google Scholar

28. Wei W., Donghai L., Jing W.: Adaptive Control for a Non-minimum Phase Hypersonic Vehicle Model. American Control Conference (ACC) Washington, DC, USA, June 17-19, 2013.Search in Google Scholar

29. Tykocki J., Jordan A., Surowik D.: Pareto – ABC Analysis of Temperature Field in High Voltage Three-Phase Cable Systems. Electrical Review, No. 5, (2014) R 91, pp. 107-112.10.15199/48.2015.05.26Search in Google Scholar