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Multi-optional hybrid functions entropy doctrine advantages for a state maximal probability determination

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Warianty tytułu
PL
Multiopcjonalna hybrydowa funkcja entropii jako zasada dla określenia maksymalnego prawdopodobieństwa stanu systemu dynamicznego
Języki publikacji
EN
Abstrakty
EN
The presented paper considers a comparison of the traditional methods for the state maximal probability determination to the proposed hybrid probabilistic and variational concept. It is shown the advantages of the described multi-optional hybrid-effectiveness functions uncertainty measure conditional optimization doctrine in the sense of avoiding the traditional ways analytical complicatedness concerning the maximal probability of the possible state determination. The results of the numerical example are presented.
PL
W prezentowanym artykule rozważono porównanie tradycyjnych metod określania maksymalnego prawdopodobieństwa stanu systemu dynamicznego z zaproponowaną hybrydową koncepcją probabilistyczną i wariacyjną. pokazano zalety opisanej wielo opcjonalnej funkcji hybrydowo-efektywnościowej niepewności pomiaru i zasadę optymalizacji warunkowej w tym sensie, że prezentowana koncepcja unika tradycyjnych metod analitycznych dotyczących maksymalnego prawdopodobieństwa możliwego określenia stanu układu dynamicznego. Niezawodność urządzeń technicznych w dużym stopniu zależy od stanu systemu utrzymania ruchu i konserwacji. Entropia określenia stanu pozwala na uwzględnienie czynników niepewności działających podczas eksploatacji, obsługi technicznej i naprawy wszelkiego rodzaju obiektów inżynieryjnych, na przykład statków powietrznych. W końcowej części przedstawiono wyniki przykładu numerycznego.
Rocznik
Strony
53--65
Opis fizyczny
Bibliogr. 40 poz., wzory
Twórcy
  • National Aviation University, Aerospace Faculty, Kosmonavta Komarova Avenue, Kyiv, 03058, Ukraine, andygoncharenco@yahoo.com
Bibliografia
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  • [14] Zamfirescu, C. H., Duta, l. and Iantovics, B., 2010, ”On investigating the cognitive complexity of designing the group decision process”, Studies in Informatics and Control 19(3), pp. 263-270.
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  • [16] Goncharenko, A. V., 2018, ”Airworthiness support measures analogy to the prospective roundabouts alternatives: theoretical aspects,” Journal of Advanced Transportation, Article ID 9370597.10.1155/2018/9370597.
  • [17] Goncharenko, A. V., 2018, ”A multi-optional hybrid functions entropy as a tool for transportation means repair optimal periodicity determination,” Aviation, 22(2), pp. 60-66. 10.3846/aviation.2018.5930.
  • [18] Goncharenko, A. V., 2018, ”Development of a theoretical approach to the conditional optimization of aircraft maintenance preference uncertainty,” Aviation, 22(2), pp. 40-44. 10.3846/aviation.2018.5929
  • [19] Goncharenko, A. V., 2018, ”Optimal controlling path determination with the help of hybrid optional functions distributions,” Radio Electronics, Computer Science, Control, 1(44), pp. 149-158. 10.15588/1607-3274-2018-1-17.
  • [20] Goncharenko, A. V., 2018, ”Aeronautical and aerospace materials and structures damages to failures: theoretical concepts,” International Journal of Aerospace Engineering, Article ID 4126085. 10.1155/2018/4126085.
  • [21] Goncharenko, A. V., 2017, ”Aircraft operation depending upon the uncertainty of maintenance alternatives,” Aviation, (21)4, pp. 126-131. 10.3846/16487788.2017.1415227.
  • [22] Goncharenko, A. V., 2017, ”Optimal UAV maintenance periodicity obtained on the multi-optional basis,” Proceedings of the IEEE 4th International Conference on Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD), pp. 65-68, IEEE, Kyiv, Ukraine, October 2017.
  • [23] Goncharenko, A. V., 2019, ”Relative pseudo-entropy functions and variation model theoretically adjusted to an activity splitting,” Proceedings of the 9th International Conference on Advanced Computer Information Technologies (ACIT’2019), pp. 52-55, Ceske budejovice, Czech Republic, June 2019.
  • [24] Goncharenko, A. V., 2018, ”Active systems communicational control assessment in multialternative navigational situations,” in Proceedings of the IEEE 5th International Conference on Methods and Systems of Navigation and Motion Control (MSNMC), pp. 254-257, IEEE, Kyiv, Ukraine, October 2018.
  • [25] Goncharenko, A. V., 2018, ”Multi-optional hybrid effectiveness functions optimality doctrine for maintenance purposes,” Proceedings of the IEEE 14th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET-2018), S8: Quality, reliability and diagnostics of electronic and information systems and devices, pp. 771-775, IEEE, Lviv-Slavske, Ukraine, February 2018.
  • [26] Goncharenko, A. V., 2018, ”An entropy model of the aircraft gas turbine engine blades restoration method choice,” Proceedings of the International Conference on Advanced Computer Information Technologies (ACIT’2018), pp. 2-5, Ceske Budejovice, Czech Republic, June 2018.
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Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6bc34856-0c58-45a6-8d41-f97ebc15c8b2
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