• DocumentCode
    1751601
  • Title

    Real-time adaptive resource management for multi-model control

  • Author

    Agrawal, Mukul ; Cofer, Darren ; Samad, Tariq

  • Author_Institution
    Honeywell Inc., Minneapolis, MN, USA
  • Volume
    5
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    3451
  • Abstract
    Uninhabited air vehicles (UAVs) currently under development for the military present unique challenges that push the limits of current control and software technologies. The objective of our work is to develop advanced control and computational models along with the necessary software infrastructure to fully exploit available onboard computing resources for optimizing the performance of UAV missions
  • Keywords
    aircraft control; computerised control; military aircraft; mobile robots; model reference adaptive control systems; real-time systems; resource allocation; UAV mission performance; computational models; control models; control software; military vehicles; multi-model control; onboard computing resources; real-time adaptive resource management; software infrastructure; uninhabited air vehicles; unmanned air vehicles; Adaptive control; Military aircraft; Military computing; Programmable control; Resource management; Unmanned aerial vehicles; Vehicle dynamics; Weapons; Weather forecasting; Wind;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2001. Proceedings of the 2001
  • Conference_Location
    Arlington, VA
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-6495-3
  • Type

    conf

  • DOI
    10.1109/ACC.2001.946164
  • Filename
    946164