Have a personal or library account? Click to login
Comparison of Fuzzy System with Neural Aggregation FSNA with Classical TSK Fuzzy System in Anti-Collision Problem of USV Cover

Comparison of Fuzzy System with Neural Aggregation FSNA with Classical TSK Fuzzy System in Anti-Collision Problem of USV

By: Piotr Szymak  
Open Access
|Oct 2017

References

  1. 1. D. Driankov, H. Hellendoorn, M. Reinfrank, An Introduction to Fuzzy Control, Springer-Verlag, 1996.10.1007/978-3-662-03284-8
  2. 2. T.J. Fossen, Guidance and Control of Ocean Vehicles, John Wiley and Sons Ltd., 1994.
  3. 3. D.E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison Wesley, Reading, Massachusetts, 1989.
  4. 4. K. Guney, N. Sarikaya, Comparison of Mamdani and Sugeno Fuzzy Inference System Models for Resonant Frequency Calculation of Rectangular Microstrip Antennas, Progress In Electromagnetics Research B, Vol. 12, p. 81–104, 2009.10.2528/PIERB08121302
  5. 5. C. Hwang, “The integrated design of fuzzy collision-avoidance and H∞-autopilots on ships”, The Journal of Navigation, Vol. 55(1), pp.117-136, 2002.10.1017/S0373463301001631
  6. 6. Z. Kitowski, “Autonomous unmanned surface vehicle Edredon”, Polish Hyperbaric Research, Vol. 3(40), 2012, s. 7-22.
  7. 7. J. Lisowski, “Sensitivity of Computer Support Game Algorithms of Safe Ship Control”, International Journal of Applied Mathematics and Computer Science, Vol. 23, No. 2, 439–446, 2013.10.2478/amcs-2013-0033
  8. 8. E. H. Mamdani, S. Assilian, “An experiment in linguistic synthesis with a fuzzy logic controller”, International Journal of Man-machine Studies, Vol. 7, p. 1-13, 1975.10.1016/S0020-7373(75)80002-2
  9. 9. K. Naus, M. Wąż, A simplified navigational chart pyramid dedicated to an autonomous navigational system, Polish Hyperbaric Research, Vol. 3(40), pp. 99-118, 2012.
  10. 10. S. Osowski, Neural networks for data processing, in polish, Publishing House of Technology University in Warsaw, 2006.
  11. 11. M. A. Potter, K. A. De Jong, “Cooperative coevolution: An architecture for evolving coadapted subcomponents”, Evolutionary Computation, Vol. 8(1), p. 1–29, 2000.10.1162/10636560056808610753229
  12. 12. T. Praczyk, “Neural anti-collision system for Autonomous Surface Vehicle”, Neurocomputing, Vol. 149, Part B, p. 559–572, 2015.10.1016/j.neucom.2014.08.018
  13. 13. T. Praczyk, P. Szymak, “Decision System for a Team of Autonomous Underwater Vehicles – Preliminary Report”, Neurocomputing, Vol. 74 (17), pp. 3323-3334, 2011.
  14. 14. T. Praczyk, P. Szymak, “Using Genetic Algorithms to Fix a Route for an Unmanned Surface Vehicle”, in Proceedings of the 17th International Conference on Methods and Models in Automation and Robotics, pp. 487-492, 2012.10.1109/MMAR.2012.6347838
  15. 15. P. Szymak, T. Praczyk, “Using Neural-Evolutionary-Fuzzy Algorithm for Anti-collision System of Unmanned Surface Vehicle”, in Proceedings of the 17th International Conference on Methods and Models in Automation and Robotics, pp. 286-290, 2012.10.1109/MMAR.2012.6347873
  16. 16. P. Szymak, “Course Control of Unmanned Surface Vehicle”, Solid State Phenomena, Vol. 196, pp. 117-123, 2013.10.4028/www.scientific.net/SSP.196.117
  17. 17. T. Takagi, M. Sugeno, “Fuzzy Identification of Systems and its Application to Modelling and Control”, IEEE Transactions on Systems, Man and Cybernetics, vol. 15, pp. 116-132, 1985.10.1109/TSMC.1985.6313399
  18. 18. J. Vieira, F.M. Dias, A. Mota, Neuro-Fuzzy Systems: A Survey, WSEAS Transactions on Systems, 3(2), 2004.
  19. 19. L. Zadeh, “Fuzzy sets”, Information and Control, vol. 8, pp. 338–353, 1965.10.1016/S0019-9958(65)90241-X
  20. 20. Y. Zhuo, “An intelligent decision support system to ship anti-collision in multi-ship encounter”, in Proceedings of the Intelligent Control and Automation 2008, pp. 1066–1071, 2008.
DOI: https://doi.org/10.1515/pomr-2017-0085 | Journal eISSN: 2083-7429 | Journal ISSN: 1233-2585
Language: English
Page range: 3 - 14
Published on: Oct 11, 2017
Published by: Gdansk University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2017 Piotr Szymak, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.