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Autonomous Maneuvering Decision Research of UAV Based on Experience Knowledge Representation
He XM(贺雪梅); Zu W(祖伟); Chang HX(常红星); Gao Y(高阳); He XM(贺雪梅)
2016-05
Conference NameChinese Control and Decision Conference
Source PublicationThe 28th Chinese Control and Decision Conference
Conference Date2016/5/28-2016/5/30
Conference Place宁夏银川
Abstract
An autonomous maneuvering decision algorithm based on experiences of pilots and tactics theories in one-
to-one air combat is proposed. Firstly a method of situation assessment based on n¨aive Bayes is addressed, in which
the historical situation is taken into consideration when predicting the next moment situation. Then preferences of
experienced pilots and tactics theories are mathematically modeled. This model is more flexible and extensible than
that models made up from a bunch of rules, because the mathematical model is easier to code and can adaptively adjust
flying state of aircraft according to the output of situation assessment. Finally a maneuvering scoring function and a
maneuvering matrix are described. The whole process of combating is regarded as a static complete information game
where an optimal maneuvering solution by Nash equilibrium solution exists. Simulations are devised by one unmanned
aircraft running the proposed algorithm against one manned aircraft adversary. Results show that the unmanned aircraft
will reach an advantageous situation regardless of starting from offensive or defensive state.
KeywordExperiential Knowledge Bayes Nash Equilibrium Air Combat
Indexed ByEI
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/11737
Collection综合信息系统研究中心
Corresponding AuthorHe XM(贺雪梅)
Affiliation中国科学院自动化研究所
Recommended Citation
GB/T 7714
He XM,Zu W,Chang HX,et al. Autonomous Maneuvering Decision Research of UAV Based on Experience Knowledge Representation[C],2016.
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