DocumentCode :
175388
Title :
Study on tactical decision of UAV medium-range air combat
Author :
Wen-xue Geng ; Fan´e Kong ; Dong-qian Ma
Author_Institution :
Sci. & Technol. on Electron-Opt. Control Lab., Luoyang, China
fYear :
2014
fDate :
May 31 2014-June 2 2014
Firstpage :
135
Lastpage :
139
Abstract :
To process the uncertainty of decision-making environment and the real-time during the tactical decision of UAV medium-range air combat, a hybrid tactical decision-making method based on rule sets and Fuzzy Bayesian network (FBN) was proposed. By studying the process of UAV air combat, the main factors that affect the tactical decision were analyzed. A corresponding FBN and expert system were built up. The hybrid system retained the advantage of expert system by the first call to it. In the mean time, the system could also process the uncertainty of decision-making environment by means of the FBN. Finally, through the air combat simulation, the correctness, real-time and effectiveness in an uncertain environment of the hybrid tactical decision-making method were verified.
Keywords :
aerospace computing; autonomous aerial vehicles; belief networks; control engineering computing; decision making; expert systems; fuzzy control; fuzzy neural nets; military aircraft; military computing; neurocontrollers; FBN; UAV air combat; UAV medium-range air combat; air combat simulation; decision-making environment; expert system; fuzzy Bayesian network; hybrid system; hybrid tactical decision-making method; rule sets; uncertain environment; Atmospheric modeling; Bayes methods; Decision making; Expert systems; Missiles; Uncertainty; Fuzzy Bayesian network; UAV; expert system; medium-range air combat;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
Type :
conf
DOI :
10.1109/CCDC.2014.6852132
Filename :
6852132
Link To Document :
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