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The dynamic game models of safe navigation

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Języki publikacji
EN
Abstrakty
EN
The paper introduce the application of selected methods of a game theory for automation of the processes of moving object steering, the game control processes in marine navigation and mathematical models of the safe ship control. The control goal has been defined first and then description of the base model, the approximated models of multi-stage positional game and multi-step matrix game of the safe ship steering in a collision situation has been presented.
Twórcy
autor
  • Gdynia Maritime University, Gdynia, Poland
Bibliografia
  • 1. Baba N., & Jain L.C., 2001. Computational Intelligence in Games. New York: Physica-Verlag.
  • 2. Cahill R.A., 2002., Collisions and thair Causes. London: The Nautical Institute.
  • 3. Engwerda J.C., 2005. LQ Dynamic Optimization and Differential Games. West Sussex: John Wiley and Sons.
  • 4. Isaacs R., 1965. Differential games. New York: John Wiley and Sons.
  • 5. Lisowski J., 2000. Computational intelligence and optimizationmethods applied to safe ship’s control – the dynamic programming and neural network methods. Journal of Shanghai Maritime University. No 3, Vol. 21: 33-41.
  • 6. Lisowski J., Rak A. & Czechowicz W., 2000. Neural network classifier for ship domain assessment. Journal of Mathematics and Computers in Simulation. No 3-4, Vol. 51:399-406.
  • 7. Lisowski J., 2001a. Computational intelligence methods in the safe ship control process. Polish Maritime Research. No 1,Vol. 8: 18-24.
  • 8. Lisowski J., 2001b. Optimal and safe ship control as a multistep matrix game. Systems Science. No 3, Vol. 27: 97-113.
  • 9. Lisowski J., 2002. Game control of moving objects. Proc. of the 15th IFAC World Congress, Barcelona.
  • 10. Lisowski J., 2004a. Multi-step matrix game with the risk of ship collision. Risk Analysis IV: Simulation and Hazard Mitigation. Southampton, Boston: WIT Press Computational Mechanics Inc.: 669-680.
  • 11. Lisowski J., 2004b. Safety of navigation based on game theory – mathematical models of game ship control. Journal of Shanghai Maritime University, No 104, Vol. 25: 65-74.
  • 12. Lisowski J., 2005a. Dynamic games methods in navigator decision support system for safety navigation. Advances in Safety and Reliability, Vol. 2, London-Singapore: Balkema Publishers: 1285-1292.
  • 13. Lisowski J., 2005b. Comparative analysis of safe ship control methods. Proc. of the 11thInt. Conf. on Methods and Models in Automation and Robotics, Międzyzdroje: 149-154.
  • 14. Lisowski J., 2005c. Game and computational intelligence decision making algorithms for avoiding collision at sea. Proc. of the IEEE Int. Conf. on Technologies for Homeland Security and Safety, Gdańsk: 71-78.
  • 15. Lisowski J., 2005d. Game control methods in navigator decision support system. The Archives of Transport. No 3-4,Vol. XVII: 133-147
  • 16. Lisowski, J. 2005e. Mathematical modeling of a safe ship optimal control process. Polish Journal of Environmental Studies. Vol. 14: 68-75.
  • 17. Lisowski J., 2006. The dynamic game theory methods applied to ship control with minimum risk of collision. Risk Analysis V: Simulation and Hazard Mitigation. Southampton, Boston: WIT Press: 293-302.
  • 18. Lisowski J., 2007. Intelligent safe ship control methods in collision avoidance. Proc. of European Control Conference, Kos: 1-6.
  • 19. Osborne M.J., 2004. An Introduction to Game Theory. New York: Oxford University Press.
  • 20. Segal A. & Miloh T., 1998. A new three dimensional differential game of pursuit and evasion. Proc. of the 8thInternational Symposium on Dynamic Games and Applications. Maastricht.
  • 21. Straffin P.D., 2001. Game Theory and Strategy. Warszawa: Scholar (in Polish).
Typ dokumentu
Bibliografia
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