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The sensitivity of state differential game vessel traffic model

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Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents the application of the theory of deterministic sensitivity control systems for sensitivity analysis implemented to game control systems of moving objects, such as ships, airplanes and cars. The sensitivity of parametric model of game ship control process in collision situations have been presented. First-order and k-th order sensitivity functions of parametric model of process control are described. The structure of the game ship control system in collision situations and the mathematical model of game control process in the form of state equations, are given. Characteristics of sensitivity functions of the game ship control process model on the basis of computer simulation in Matlab/Simulink software have been presented. In the end , have been given proposals regarding the use of sensitivity analysis to practical synthesis of computer-aided system navigator in potential collision situations.
Rocznik
Tom
Strony
14--18
Opis fizyczny
Bibliogr. 22 poz., rys.
Twórcy
autor
  • Gdynia Maritime University 83 Morska Str. 81-225 Gdynia POLAND
Bibliografia
  • 1. Astrom K.J.: Model uncertainty and robust control. Lecture notes on iterative identification and control design. Lund Institute of Technology, Sweden, 2000, pp. 63-100.
  • 2. Cruz J.B.: Feedback systems. Mc Graw-Hill Book Company, New York, 1972.
  • 3. Dorf R.C. and Bishop R.H.: Modern control systems. Addison-Wesley, California, 1998.
  • 4. Eslami M.: Theory of sensitivity in dynamic systems. Springer-Verlag, Berlin, 1994.
  • 5. Fossen T.I.: Marine craft hydrodynamics and motion control. Wiley, Trondheim, 2011.
  • 6. Fujarewicz K.: Structural sensitivity analysis of systems with time delay ( in Polish), XVIII Krajowa Konferencja Procesów Dyskretnych ( 18th Domestic Conference on Discrete Systems), Zakopane, 2014.
  • 7. Gierusz W. and Lebkowski A.: The research ship “Gdynia”. Polish Maritime Research, Vol. 19, No. 74, 2012, pp. 11-18.
  • 8. Isaacs R.: Differential games. John Wiley and Sons, New York, 1965.
  • 9. Lazarowska A.: Safe ship control method with the use of ant colony optimization. Solid State Phenomena, Vol. 210, 2014, pp. 95–101.
  • 10. Miller A., Rybczak M.: Model predictive control algorithm verification with the use of real time xPC target platform. Joint Proceedings, No. 84, 2014, pp. 73-84.
  • 11. Mohamed-Seghir M.: The branch-and-bound method, genetic algorithm, and dynamic programming to determine a safe ship trajectory in fuzzy environment. 18th International Conference on Knowledge Based and Intelligent Information and Engineering Systems. Procedia Computer Science, No. 35, 2014, pp. 634-643.
  • 12. Nisan N., Roughgarden T., Tardos E., Vazirani V.V.: Algorithmic game theory. Cambridge University Press, New York, 2007, pp. 717-733.
  • 13. Nise N.S.: Control systems engineering. Wiley, California, 2015.
  • 14. Osborne M.J.: An introduction to game theory. Oxford University Press, New York, 2004.
  • 15. Rosenwasser E. and Yusupov R.: Sensitivity of automatic control systems. CRC Press, Boca Raton, 2000.
  • 16. Rudnicki J.: Application issues of the semi-Markov reliability model. Polish Maritime Research, Vol. 22, No. 1, pp. 55-64.
  • 17. Sanchez-Pena R.S. and Sznaier M.: Robust systems theory and applications. Wiley, New York, 1998.
  • 18. Skogestad S. and Postlethwaite I.: Multivariable feedback control. Wiley, Chichester, 2005.
  • 19. Szlapczynski R.: Evolutionary sets of safe ship trajectories with speed reduction manoeuvres within traffic separation schemes. Polish Maritime Research, Vol. 81, No. 1, 2014, pp. 20-27.
  • 20. Tomera M.: Dynamic positioning system for a ship on harbour manoeuvring with different observers. Experimental results. Polish Maritime Research, Vol. 83, No. 3, 2014, pp. 13-21.
  • 21. Wierzbicki A.: Models and sensitivity of control systems. Wydawnictwa Naukowo-Techniczne, Warszawa, 1977.
  • 22. Zwierzewicz Z.: The design of ship autopilot by applying observer – based feedback linearization. Polish Maritime Research, Vol. 22, No. 1, pp. 16-21.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0bc0a4c4-7a0d-4f28-b1e9-c161c8164916
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