Robust decision making for UAV air-to-ground attackunder severe uncertainty
来源期刊：中南大学学报(英文版)2015年第11期
论文作者：HU Xiao-xuan CHEN Yi LUO He
文章页码：4263 - 4273
Key words：unmanned aerial vehicle; severe uncertainty; robust decision making; influence diagram
Abstract: As unmanned aerial vehicles (UAVs) are used more and more in military operations, increasing their level of autonomous decision making becomes necessary. In uncertain battlefield environments, when making sovereign decisions, UAVs must choose low-risk options. An integrated framework is proposed for UAV robust decision making in air-to-ground attack missions under severe uncertainty. In the offline part of the framework, the battlefield scenarios are analyzed and an influence diagram is built to represent the decision situation. In the online part, the UAV evaluates the alternative actions for every scenario, and then the optimal robust action is chosen, using the robust decision model. Results of simulation show that the proposed approach is feasible and effective. The framework can support UAVs in making independent robust decisions under circumstances which require immediate responses under severe uncertainty, and it can also be extended to applications in more complex situations.
HU Xiao-xuan(胡笑旋)1,2, CHEN Yi(陈意)1,2, LUO He(罗贺)1,2
(1.School of Management, Hefei University of Technology, Hefei 230009, China;
2.Key Laboratory of Process Optimization and Intelligent Decision-making,
Ministry of Education, Hefei 230009, China)
Abstract:As unmanned aerial vehicles (UAVs) are used more and more in military operations, increasing their level of autonomous decision making becomes necessary. In uncertain battlefield environments, when making sovereign decisions, UAVs must choose low-risk options. An integrated framework is proposed for UAV robust decision making in air-to-ground attack missions under severe uncertainty. In the offline part of the framework, the battlefield scenarios are analyzed and an influence diagram is built to represent the decision situation. In the online part, the UAV evaluates the alternative actions for every scenario, and then the optimal robust action is chosen, using the robust decision model. Results of simulation show that the proposed approach is feasible and effective. The framework can support UAVs in making independent robust decisions under circumstances which require immediate responses under severe uncertainty, and it can also be extended to applications in more complex situations.
Key words:unmanned aerial vehicle; severe uncertainty; robust decision making; influence diagram
