DocumentCode :
2420691
Title :
Neural network approach for solving UAV team cooperative control
Author :
Luxemburg, Leon ; Rogers, Steven C.
Author_Institution :
Inst. for Sci. Res., Fairmont, WV, USA
fYear :
2003
fDate :
8-8 Oct. 2003
Firstpage :
761
Lastpage :
766
Abstract :
One of the key algorithm research areas for unpiloted aerial vehicles team cooperative control is solution of network optimization models. Computational speed is an important success criterion as much of the cooperative work is done in real time. The linear programming (LP) class of approaches has been shown to be the fastest technique according to AFRL´s work. In this paper a neural network (NN) approach to solving the constrained LP problem will be introduced and compared to a typical public domain LP solver. Computational time will be used as a comparison and it will be shown that significant time savings results from the NN approach.
Keywords :
computational geometry; constraint theory; cooperative systems; linear programming; neural nets; optimisation; remotely operated vehicles; UAV team cooperative control; computational speed; computational time; constrained LP problem; linear programming class; network optimization models; neural network approach; unpiloted aerial vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control. 2003 IEEE International Symposium on
Conference_Location :
Houston, TX, USA
ISSN :
2158-9860
Print_ISBN :
0-7803-7891-1
Type :
conf
DOI :
10.1109/ISIC.2003.1254731
Filename :
1254731
Link To Document :
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