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Computational Intelligence in Marine Control Engineering Education Cover

Computational Intelligence in Marine Control Engineering Education

By: Józef Lisowski  
Open Access
|Apr 2021

References

  1. 1. J.H. Ahn, K.P. Rhee, and Y.J You, “A study on the collision avoidance of a ship using neural networks and fuzzy logic,” Applied Ocean Research, vol. 37, pp. 162–173, 2012. DOI: 10.1016/j.apor.2012.05.00810.1016/j.apor.2012.05.008
  2. 2. R.E. Bellman, Dynamic Programming. New York: Dover Publications, 2003. ISBN 0-486-42809-5
  3. 3. M. Borrego, E.P. Douglas, and C.T. Amelink, Quantitative, “Qualitative and mixed research methods in engineering education,” Journal of Engineering Education, vol. 98, no. 1, pp. 53–66, 2009. DOI: 10.1002/j.2168-9830.2009.tb01005.x10.1002/j.2168-9830.2009.tb01005.x
  4. 4. R. Cwilewicz and J. Lisowski, “The integrated maritime education and research activity of Gdynia Maritime University,” in 12th Annual General Assembly of IAMU -Green Ships, Eco Shipping, Clean Seas, Gdynia Maritime University, Gdynia, 17 June 2011, pp. 87–98.
  5. 5. B. Guenin, J. Konemann, and L.A. Tuncel, Gentle Introduction to Optimization. Cambridge, UK: Cambridge University Press, 2014. ISBN 978-1-107-05344-1
  6. 6. S.S. Guzey and M. Aranda, “Student participation in engineering practices and discourse: An exploratory case study,” Journal of Engineering Education, vol. 106, no. 4, pp. 585–606, 2017. DOI: 10.1002/jee.2017610.1002/jee.20176
  7. 7. H. Heiselberg and A. Stateczny, “Remote sensing in vessel detection and navigation,” Sensors, vol. 20, pp. 1–9, 2020. DOI: 10.3390/s2020584110.3390/s20205841760264633076456
  8. 8. M. Henri, M.D. Johnson, and B. Nepal, “A review of competency-based learning: Tools, assessments, and recommendations,” Journal of Engineering Education, vol. 106, no. 4, pp. 607–638, 2017. DOI: 10.1002/jeee.20180
  9. 9. L. Hongguang and Y. Yong, “COLREGS-constrained real-time path planning for autonomous ships using modified artificial potential fields,” Journal of Navigation, vol. 71, pp. 1–21, 2018. DOI: 10.1017/S037346331800079610.1017/S0373463318000796
  10. 10. Y. Huang, L. Chen, P. Chen, R.R. Negenborn, and P.H.A.J.M. van Gelder, “Ship collision avoidance methods: State-ofthe-art,” Safety Science, vol. 121, pp. 451–473, 2020. DOI: 10.1016/j.ssci.2019.09.01810.1016/j.ssci.2019.09.018
  11. 11. K.S. Kula, “Automatic control of ship motion conducting search in open waters,” Polish Maritime Research, vol. 27, no. 4, pp. 157-169, 2020. DOI: 10.2478/pomr-2020-007610.2478/pomr-2020-0076
  12. 12. L.R. Lattuca, D.B. Knight, H.K. Ro, and B.J. Novoselich, “Supporting the development of engineers’ interdisciplinary competence,” Journal of Engineering Education, vol. 106, no. 1, pp. 71–97, 2017. DOI: 10.1002/jeee.20155
  13. 13. A. Lazarowska, “Comparison of discrete artificial potential field algorithm and wave-front algorithm for autonomous ship trajectory planning,” IEEE Access, vol. 8, pp. 221013–221026, 2020. DOI: 10.1109/ACCESS.2020.304353910.1109/ACCESS.2020.3043539
  14. 14. A. Lebkowski, “Evolutionary methods in the management of vessel traffic,” in Proc. Int. Conf. on Marine Navigation and Safety of Sea Transportation, Gdynia, Poland, 17 June 2015, pp. 259–266. DOI: 10.12716/1001.12.01.1310.12716/1001.12.01.13
  15. 15. J. Lisowski, “Multi-criteria optimization of multi-stage positional game of vessels,” Polish Maritime Research, vol. 27, no. 1, pp. 46-52, 2020. DOI: 10.2478/pomr-2020-000510.2478/pomr-2020-0005
  16. 16. Z. Liu, Z. Wu, and Z. Zheng, “A cooperative game approach for assessing the collision risk in multi-vessel encountering,” Ocean Engineering, vol. 187, pp. 1–12, 2019. DOI: 10.1016/j. oceaneng.2019.106175
  17. 17. Z. Liu, “Pre-filtered backstepping control for underactuated ship path following,” Polish Maritime Research, vol. 26, no. 2, pp. 68-75, 2019. DOI: 10.2478/pomr-2019-002610.2478/pomr-2019-0026
  18. 18. S. Nikolic, “Improving the laboratory learning experience: A process to train and manage teaching assistants,” IEEE Transaction on Education, vol. 58, no. 2, pp.130–139, 2015. DOI: 10.1109/TE.2014.233571210.1109/TE.2014.2335712
  19. 19. N.S. Nise, Control Systems Engineering. New York: John Wiley & Sons, 2019. ISBN 978-1-119-72140-6
  20. 20. M.J. Osborne, An Introduction to Game Theory. New York: Oxford University Press, 2004.
  21. 21. P.V. Reddy and G. Zaccour, “Feedback Nash equilibria in linear-quadratic difference games with constraints,” IEEE Transactions on Automatic Control, vol. 62, pp. 590–604, 2016. DOI: 10.1109/TAC.2016.255587910.1109/TAC.2016.2555879
  22. 22. J. Sanchez-Soriano, “An overview of game theory applications to engineering,” International Game Theory Review, vol. 15, pp. 1–18, 2013. DOI: 10.1142/S021919891340019710.1142/S0219198913400197
  23. 23. L. Song, H. Chen, W. Xiong, et al., “Method of emergency collision avoidance for unmanned surface vehicle (USV) based on motion ability database,” Polish Maritime Research, vol. 26, no. 2, pp. 55-67, 2019. DOI: 10.2478/pomr-2019-002510.2478/pomr-2019-0025
  24. 24. J.L. Speyer and D.H. Jacobson, Primer on Optimal Control Theory. Toronto, Canada: SIAM, 2010. ISBN 978-0-898716-94-810.1137/1.9780898718560
  25. 25. J. Szlapczynska and R. Szlapczynski, “Preference-based evolutionary multi-objective optimization in ship weather routing,” Applied Soft Computing, vol. 84, pp. 1–21, 2019. DOI: 10.1016/j.asoc.2019.10574210.1016/j.asoc.2019.105742
  26. 26. S. Wang, Y. Tuo, “Robust trajectory tracking control of underactuated surface vehicles with prescribed performance,” Polish Maritime Research, vol. 27, no. 4, pp. 148-156, 2020. DOI: 10.2478/pomr-2020-007510.2478/pomr-2020-0075
  27. 27. J. Trevelyan, “Technical coordination in engineering practice,” Journal of Engineering Education, vol. 96, no. 3, pp. 191–204, 2007. DOI: 10.1002/j.2168-9830.2007.tb00929.x10.1002/j.2168-9830.2007.tb00929.x
  28. 28. H.J. Trussell and E.J. Dietz, “A study of the effect of graded homework in a preparatory math course for electrical engineers,” Journal of Engineering Education, vol. 92, no. 2, pp. 141–146, 2003. DOI: 10.1002/j.2168-9830.2003. tb00752.x
  29. 29. T.F. Weisner and W. Lan, “Comparison of student learning in physical and simulated unit operations experiments,” Journal of Engineering Education, vol. 3, no. 3, pp. 5–12, 2004. DOI: 10.1002/2168-9830.2004.tb00806.x
  30. 30. A. Witkowska and R. Smierzchalski, “Adaptive dynamic control allocation for dynamic positioning of marine vessel based on backstepping method and sequential quadratic programming,” Ocean Engineering, vol. 163, pp. 570–582, 2018. DOI: 10.1016/j.oceaneng.2018.05.06110.1016/j.oceaneng.2018.05.061
  31. 31. J. Yong, Optimization Theory – A Concise Introduction. New Jersey: World Scientific, 2018. ISBN 978-981-3237-64-3
  32. 32. J. Zhuang, L. Zhang, Z. Qin, et al., “Motion control and collision avoidance algorithms for unmanned surface vehicle swarm in practical maritime environment,” Polish Maritime Research, vol. 26, no. 1, pp. 107-116, 2019. DOI: 10.2478/pomr-2019-001210.2478/pomr-2019-0012
DOI: https://doi.org/10.2478/pomr-2021-0015 | Journal eISSN: 2083-7429 | Journal ISSN: 1233-2585
Language: English
Page range: 163 - 172
Published on: Apr 30, 2021
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2021 Józef Lisowski, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution 4.0 License.