Comparison of Dynamic Games in Application to Safe Ship Control

1. Basar T., Olsder G.J.: Dynamic noncooperative game theory. Siam, Philadelphia, 2013.Search in Google Scholar

2. Baba N. and Jain L.C.: Computational intelligence in games. Physica-Verlag, New York, 2001.10.1007/978-3-7908-1833-8Search in Google Scholar

3. Bist D.S.: Safety and security at sea. Butterworth Heinemann, Oxford-New Delhi, 2000.Search in Google Scholar

4. Bole A., Dineley B., Wall A.: Radar and ARPA manual. Elsevier, Amsterdam-Tokyo, 2006.Search in Google Scholar

5. Cahill R.A.: Collisions and their causes. Te Nautical Institute, London, 2002.Search in Google Scholar

6. Cockcrof A.N., Lameijer N.F.: Collision avoidance rules. Elsevier, Amsterdam-Tokyo, 2006.Search in Google Scholar

7. Engwerda J.C.: LQ dynamic optimization and diferential games. John Wiley and Sons, West Sussex, 2005.Search in Google Scholar

8. Gluver H., Olsen D.: Ship collision analysis. Balkema, Rotterdam, 1998.Search in Google Scholar

9. Isaacs R.: Diferential games. John Wiley and Sons, New York, 1965.Search in Google Scholar

10. Millington I. and Funge J.: Artifcial intelligence for games. Elsevier, Amsterdam-Tokyo, 2009.10.1016/B978-0-12-374731-0.00008-6Search in Google Scholar

11. Modarres M.: Risk analysis in engineering. Taylor and Francis Group, Boca Raton, 2006.Search in Google Scholar

12. Nisan N., Roughgarden T., Tardos E., Vazirani V.V.: Algorithmic game theory. Cambridge University Press, New York, 2007, p. 717-733.10.1017/CBO9780511800481Search in Google Scholar

13. Nise N.S.: Control systems engineering. John Wiley and Sons, New York, 2011.Search in Google Scholar

14. Nowak A.S, Szajowski K.: Advances in dynamic games, applications to economics, fnance, optimization and stochastic control. Birkhauser, Boston, Basel, Berlin, 2000.Search in Google Scholar

15. Osborne M.J.: An introduction to game theory. Oxford University Press, New York, 2004.Search in Google Scholar

16. Pietrzykowski Z.: Te navigational decision support system on a sea-going vessel. Maritime University, Szczecin, 2011.10.1007/978-3-642-13208-7_24Search in Google Scholar

17. Radzik T.: Characterization of optimal strategies in matrix games with convexity properties. Game Teory, Vol. 29, No 2, 2000, p. 211-228.10.1007/s001820000035Search in Google Scholar

18. Straffin P.D.: Game theory and strategy. Scholar, Warszawa, 2001 (in Polish).Search in Google Scholar

19. Szłapczynski R., Śmierzchalski R.: Supporting navigators decisions by visualizing ship collision risk. Polish Maritime Research, Vol. 59, No 1, 2009, p. 83-88.10.2478/v10012-008-0015-7Search in Google Scholar

20. Zio E.: Computational methods for reliability and risk analysis. Quality, Reliability and Engineering Statistics, No 14, Word Scientifc, New Jersey-Chennai, 2009, p. 295-334.10.1142/7190Search in Google Scholar