• DocumentCode
    720462
  • Title

    Certification considerations for adaptive systems

  • Author

    Bhattacharyya, S. ; Cofer, D. ; Musliner, D. ; Mueller, J. ; Engstrom, E.

  • fYear
    2015
  • fDate
    9-12 June 2015
  • Firstpage
    270
  • Lastpage
    279
  • Abstract
    Advanced capabilities planned for the next generation of unmanned aircraft will be based on complex new algorithms and non-traditional software elements. These aircraft will incorporate adaptive and intelligent control algorithms that will provide enhanced safety, autonomy, and high-level decision-making functions normally performed by human pilots, as well as robustness in the presence of failures and adverse flight conditions. This paper discusses the characteristics of adaptive algorithms and the challenges they present to certification for operation in the National Airspace System (NAS). We provide mitigation strategies that may make it possible to overcome these challenges.
  • Keywords
    adaptive control; adaptive systems; aircraft control; autonomous aerial vehicles; certification; decision making; intelligent control; mobile robots; adaptive control algorithm; adaptive system; certification; decision-making function; intelligent control algorithm; unmanned aircraft; Adaptive control; Aircraft; Artificial intelligence; Convergence; Military aircraft; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Unmanned Aircraft Systems (ICUAS), 2015 International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    978-1-4799-6009-5
  • Type

    conf

  • DOI
    10.1109/ICUAS.2015.7152300
  • Filename
    7152300