复杂环境下的无人机任务决策模型

为实现不确定环境下无人机(unmanned aerial vehicle, UAV)自主动态任务决策，提出一种基于变结构离散动态贝叶斯网络(structure-varied discrete dynamic Bayesian network, SVDDBN)的任务决策模型。该模型由威胁等级评估、目标价值评估和态势优势评估三部分组成，在此基础上可完成突变过程建模。根据以上三部分的评估结果，运用变结构离散动态贝叶斯网络推理算法得到当前时刻的任务决策。仿真结果表明，给出的决策模型满足突发威胁下的任务决策需求。

Mission decision-making for UAV under dynamic environment

To carry out automatic mission planning and decision-making in an uncertain environment for unmanned aerial vehicles(UAVs),a model based on structure-varied discrete dynamic Bayesian network(SVDDBN) is proposed.This model is composed of three parts including threat level evaluation,target value assessment and situation assessment,which is the basis of dynamic procedure modeling.According to the evaluative results of the above three parts,the SVDDBN inference algorithm is applied to obtain the current missio...