• DocumentCode
    2888784
  • Title

    Decentralised Optimal Control for Reconnaissance

  • Author

    Mathews, George M. ; Durrant-Whyte, Hugh F.

  • Author_Institution
    Sydney Univ., Sydney
  • fYear
    2007
  • fDate
    12-14 Feb. 2007
  • Firstpage
    314
  • Lastpage
    319
  • Abstract
    This paper introduces a decentralised negotiation algorithm, where multiple distributed decision makers can propose and refine future decisions to optimise a common team objective function. Based on theoretical convergence results, a practical algorithm is developed. The information requirements of the system, that is, what is each platform required to know, are examined and a scalable cooperative control algorithm proposed. This is applied to the control of a reconnaissance or information gathering task consisting of multiple UAVs.
  • Keywords
    convergence; decentralised control; distributed control; optimal control; decentralised negotiation algorithm; decentralised optimal control; distributed decision makers; information gathering task; information requirements; multiple UAV; objective function; reconnaissance; scalable cooperative control; theoretical convergence; Australia; Control systems; Convergence; Electrical equipment industry; Industrial control; Optimal control; Physics; Reconnaissance; Refining; Sensor systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Decision and Control, 2007. IDC '07
  • Conference_Location
    Adelaide, Qld.
  • Print_ISBN
    1-4244-0902-0
  • Electronic_ISBN
    1-4244-0902-0
  • Type

    conf

  • DOI
    10.1109/IDC.2007.374569
  • Filename
    4252521