DocumentCode :
619763
Title :
Research on beyond visual range target allocation and multi-aircraft collaborative decision-making
Author :
Li Fu ; Jianbo Liu ; Guanglei Meng ; Fuhuai Xie
Author_Institution :
Fac. of Aerosp. Eng., Shenyang Aerosp. Univ., Shenyang, China
fYear :
2013
fDate :
25-27 May 2013
Firstpage :
586
Lastpage :
590
Abstract :
The key technologies for beyond visual range target allocation and multi-aircraft cooperative air combat based on the background of unmanned aerial vehicles air combat are detailed description in this paper. beyond visual range target allocation and cooperative air combat are the main forms of modern air combat, there are some key techniques to be studied in the process of the air combat, such as the target recognition and allocation, multi-aircraft communication and information resource sharing, tactical decision -making and the fire control computation tactical decision-making. Multi-aircraft collaborative decision-making is one of the important parts to realize unmanned aerial vehicles air combat of the one-to-many, many-to-many in the beyond visual range air combat, the methods of multi-aircraft collaborative decision-making mainly include artificial intelligence (expert systems, artificial neural networks and fuzzy combat air system), optimization theory (graph theory, multi-target decision making, genetic algorithm and ant colony algorithm), information theory (for example rough set) and so on. These algorithms are able to realize the reasonable allocation of the battlefield and to obtain the maximum benefit at minimum cost.
Keywords :
aerospace control; ant colony optimisation; autonomous aerial vehicles; decision making; fuzzy set theory; genetic algorithms; graph theory; mobile robots; telerobotics; ant colony algorithm; artificial intelligence; artificial neural networks; beyond visual range target allocation; expert systems; fire control computation tactical decision-making; fuzzy combat air system; genetic algorithm; graph theory; information resource sharing; information theory; multiaircraft collaborative decision making; multiaircraft communication; multiaircraft cooperative air combat; multitarget decision making; optimization theory; tactical decision making; unmanned aerial vehicles air combat; Aircraft; Atmospheric modeling; Collaboration; Decision making; Missiles; Resource management; Visualization; beyond visual range air-combat; multi-aircraft cooperative attacking; tactical decision; target allocation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
Type :
conf
DOI :
10.1109/CCDC.2013.6560992
Filename :
6560992
Link To Document :
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