• DocumentCode
    2569130
  • Title

    Multi UAVs cooperative task assignment using multi agent

  • Author

    Jian-liang, Peng ; Xiu-xia, Sun ; Fan, Zhu ; Xiang-qing, Li

  • Author_Institution
    Dept. of Auto Control, Air Force Eng. Univ., Xian
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    4517
  • Lastpage
    4520
  • Abstract
    Cooperative task assignment for multi UAVs is a key problem of cooperative command and control systems. A cooperative task assignment model is built based on multi agent technology. Every UAV is an agent and every mission is a task. Objective function is the sum weights of threat cost, route cost, time delay, attack cost and so on. At the end, genetic algorithm was adopted for searching the optimal cooperative task assignment policy. The simulation result shows that the model built in the paper is effective and the multi agent technology is an effective approach for cooperative task assignment.
  • Keywords
    command and control systems; mobile robots; multi-agent systems; multi-robot systems; remotely operated vehicles; command and control systems; cooperative task assignment; multiUAV; multiagent systems; Command and control systems; Control systems; Cost function; Delay effects; Educational institutions; Force control; Genetic algorithms; Paper technology; Sun; Unmanned aerial vehicles; Genetic Algorithm; Multi Agent; Task Assignment; UAV;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4598184
  • Filename
    4598184