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2012 | Special Issue S1 |

Tytuł artykułu

Game control methods in avoidance of ships collisions

Autorzy

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
The paper introduces application of selected methods of a game theory for automation of the processes of moving marine objects, the game control processes in marine navigation and the base mathematical model of game ship control. State equations, control and state constraints have been defined first and then control goal function in the form of payments – the integral payment and the final one. Multi-stage positional and multi-step matrix, non-cooperative and cooperative, game and optimal control algorithms in a collision situation has been presented. The considerations have been illustrated as an examples of a computer simulations mspg.12 and msmg.12 algorithms to determine a safe own ship’s trajectory in the process of passing ships encountered in Kattegat Strait

Słowa kluczowe

Wydawca

-

Rocznik

Opis fizyczny

p.3-10,fig.,ref.

Twórcy

autor
  • Faculty of Marine Electrical Engineering, Gdynia Maritime University, Morska 81-87, 81-225 Gdynia, Poland

Bibliografia

  • 1. Lisowski J.: Computational intelligence methods in the safe ship control process. Polish Maritime Research. No 1,Vol. 8, 2001, p. 18-24.
  • 2. Nise N.S.: Control systems engineering. John Wiley and Sons, New York, 2011.
  • 3. Bole A., Dineley B., Wall A.: Radar and ARPA manual. Elsevier, Amsterdam-Tokyo, 2006.
  • 4. Cahill R.A.: Collisions and their causes. The Nautical Institute, London, 2002.
  • 5. Gluver H., Olsen D.: Ship collision analysis. Balkema, Rotterdam, 1998.
  • 6. Cockcroft A.N., Lameijer N.F.: Collision avoidance rules. Elsevier, Amsterdam-Tokyo, 2006.
  • 7. Bist D.S.: Safety and security at sea. Butterworth Heinemann, Oxford-New Delhi, 2000.
  • 8. Modarres M.: Risk analysis in engineering. Taylor and Francis Group, Boca Raton, 2006.
  • 9. Lisowski J.: Multi-step matrix game with the risk of ship collision. In C.A. Brebbia (Ed), Risk Analysis IV: Simulation and Hazard Mitigation, WIT Press Computational Mechanics Inc., Southampton-Boston, 2004, p. 669-680.
  • 10. Lisowski J.: Mathematical modeling of a safe ship optimal control process. Polish Journal of Environmental Studies, Vol. 14, 2005, p. 68-75.
  • 11. Zio E.: Computational methods for reliability and risk analysis. Quality, Reliability and Engineering Statistics, No 14, Word Scientific, New Jersey-Chennai, 2009, p. 295-334.
  • 12. Lisowski J.: Game control methods in navigator decision support system. The Archives of Transport, No 3-4, Vol. XVII, 2005, p. 133-147.
  • 13. Lisowski J.: Computer support of navigator manoeuvring decision in congested waters. Polish Journal of Environmental Studies, Vol. 17, No 5A, 2008, p. 1-9.
  • 14. Lisowski J.: Optimization decision support system for safe ship control. In C.A. Brebbia (Ed), Risk Analysis VII: Simulation and Hazard Mitigation, WIT Press Computational Mechanics Inc., Southampton-Boston, 2010, p. 259-272.
  • 15. Łebkowski A.: Hybrydowy system sterowania obiektem ruchomym w środowisku dynamicznym. Doctoral thesis, Gdańsk Technology University, Gdańsk, 2006.
  • 16. Pietrzykowski Z.: The navigational decision support system on a sea-going vessel. Maritime University, Szczecin, 2011.
  • 17. Szłapczynski R., Śmierzchalski R.: Supporting navigators decisions by visualizing ship collision risk. Polish Maritime Research, Vol. 59, No 1, 2009, p. 83-88.
  • 18. Lisowski J.: Comparative analysis of safe ship control methods. Proc. of 11th Int. Conf. on Methods and Models in Automation and Robotics, Międzyzdroje, 2005, p. 149-154.
  • 19. Lisowski J., Mohamed-Seghir M.: Safe ship control methods based on fuzzy set theory. Polish Journal of Environmental Studies, Vol. 17, No 3C, 2008, p. 55-58.
  • 20. Lisowski J., Pachciarek A.: Transmisja danych nawigacyjnych w układzie komputerowego wspomagania decyzji manewrowej nawigatora w sytuacji kolizyjnej. Przegląd Telekomunikacyjny, nr 1, 2009, s. 33-35.
  • 21. Lisowski J.: Safety of navigation based on game theory – mathematical models of game ship control. Journal of Shanghai Maritime University, Vol. 25, No 104, 2004, p. 65-74.
  • 22. Lisowski J.: The dynamic game theory methods applied to ship control with minimum risk of collision. In C.A. Brebbia (Ed), Risk Analysis V: Simulation and Hazard Mitigation, WIT Press Computational Mechanics Inc., Southampton-Boston, 2006, p. 293-302.
  • 23. Lisowski J.: Game and optimal safe ship control. Chapter in monograph: Recent advances in control and automation, Exit, Warszawa, 2008, p. 302-312.
  • 24. Isaacs R.: Differential games. John Wiley and Sons, New York, 1965
  • 25. Baba N. and Jain L.C.: Computational intelligence in games. Physica-Verlag, New York, 2001.
  • 26. Millington I. and Funge J.: Artificial intelligence for games. Elsevier, Amsterdam-Tokyo, 2009.
  • 27. Nisan N., Roughgarden T., Tardos E., Vazirani V.V.: Algorithmic game theory. Cambridge University Press, New York, 2007, p. 717-733.
  • 28. Osborne M.J.: An introduction to game theory. Oxford University Press, New York, 2004.
  • 29. Straffin P.D.: Game theory and strategy. Scholar, Warszawa, 2001 (in polish).
  • 30. Engwerda J.C.: LQ dynamic optimization and differential games. John Wiley and Sons, West Sussex, 2005.
  • 31. Lisowski J.: Optimal and game ship control algorithms for avoiding collisions at sea. In C.A. Brebbia (Ed), Risk Analysis VI: Simulation and Hazard Mitigation, WIT Press Computational Mechanics Inc., Southampton-Boston, 2008, p. 525-534.
  • 32. Lisowski J.: Sensitivity of safe game ship control on base information from ARPA radar. Chapter in monograph: Radar Technology, In-Teh, Croatia, 2009, p. 61-86.
  • 33. Lisowski J.: Dynamic programming of safe ship trajectory with neural state constraints. Polish Journal of Environmental Studies, Vol. 18, No 4B, 2009, p. 126-129.
  • 34. Lisowski J.: The optimal and safe trajectories for different forms of neural state constraints. Solid State Phenomena, Trans Tech Publications, Switzerland, Vol. 180, 2012, p. 64-69.
  • 35. Lisowski J.: Optimization of safe ship control using Matlab/Simulink. Polish Journal of Environmental Studies, Vol. 19, No 4A, 2010, p. 73-76.
  • 36. Lisowski J.: The multistage positional game of marine objects with different degree of cooperation. Solid State Phenomena. Vol. 180, Trans Tech Publications, Switzerland, 2012, p. 56-63.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

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