• DocumentCode
    3512472
  • Title

    Method for predicting a failure risk of the UAV navigation systems

  • Author

    Chumachenko, O. ; Gorbatiuk, V.

  • Author_Institution
    Dept. of Tech. Cybern., Nat. Tech. Univ. of Ukraine KPI, Kiev, Ukraine
  • fYear
    2012
  • fDate
    9-12 Oct. 2012
  • Firstpage
    63
  • Lastpage
    65
  • Abstract
    This paper introduces a new algorithm for predicting a failure risk of the UAV navigation systems using genetic algorithms, fuzzy rules and neural networks. This approach combines the advantages of fuzzy rules and neural networks such as interpretability and learning ability, while using genetic algorithm to construct an initial set of fuzzy rules.
  • Keywords
    autonomous aerial vehicles; failure analysis; fuzzy set theory; genetic algorithms; learning systems; neurocontrollers; UAV navigation system; failure risk prediction; fuzzy rule; genetic algorithm; learning ability; neural network; Artificial neural networks; Biological neural networks; Convergence; Navigation; Psychology; XML; Xenon; Neural networks; fuzzy rules; genetic algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Methods and Systems of Navigation and Motion Control (MSNMC), 2012 2nd International Conference
  • Conference_Location
    Kiev
  • Print_ISBN
    978-1-4673-2551-6
  • Type

    conf

  • DOI
    10.1109/MSNMC.2012.6475088
  • Filename
    6475088
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3512472