Multi-UAV counter-game model based on uncertain information

Jiwei Xu, Zhenghong Deng, Qun Song, Qian Chi, Tao Wu, Yijie Huang, Dan Liu and Mingyu Gao

Applied Mathematics and Computation, 2020, vol. 366, issue C

Abstract: When a multi-UAV is performing a mission, the information obtained by the commander could be highly uncertain. How to choose strategies based on uncertain information will directly affect the success or failure of the UAV mission. In this paper, we present a multi-UAV confrontation model based on uncertain information, which can provide a powerful reference for strategy selection. We established a multi-UAV game model, and proposed a game payment function, and introduce a situation matrix to imitate the uncertainty of war information. In order to complete the calculation of uncertain information, the paper introduces a complex calculation method and establishes an interval decision model. The simulated experiment results show that the situation matrix proposed in this paper could represents the uncertainty in the battle field, and the interval decision method could process data effectively. Furthermore, the proposed algorithm could provide optimal strategy for decision support in battle field with uncertain information, and provide new research direction for game with uncertain information.

Keywords: Multi-UAV counter-game; Interval decision; Dominant equilibrium; Situation matrix; Uncertain information (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:366:y:2020:i:c:s0096300319306769

DOI: 10.1016/j.amc.2019.124684

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