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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
会议名称Chinese Control and Decision Conference
会议录名称The 28th Chinese Control and Decision Conference
会议日期2016/5/28-2016/5/30
会议地点宁夏银川
摘要
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.
关键词Experiential Knowledge Bayes Nash Equilibrium Air Combat
收录类别EI
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/11737
专题综合信息系统研究中心
通讯作者He XM(贺雪梅)
作者单位中国科学院自动化研究所
推荐引用方式
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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