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
Link To Document :
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