检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]空军工程大学信息与导航学院,陕西西安710077
出 处:《计算机仿真》2015年第9期128-132,共5页Computer Simulation
摘 要:在有人/无人机编队决策控制过程中,为充分发挥有人机指挥优势与无人机自主决策的优势,需合理分配两者之间的决策功能。难点在于复杂因素影响下各因素在决策分配中影响权重的确定。划分有人/无人机协同作战的决策等级,分析影响决策等级的属性因素并构建决策矩阵,利用正态区间交叉熵理论计算相似度,并构建动态权重模型确定各因素权重。用算例对算法进行仿真,结果表明,算法得出的结果与预先分析结果相一致,验证算法解决决策分配问题的合理性。In order to make full use of the advantages of manned aerial vehicles (MAV) commander and autono- mous decision-making function of unmanned aerial vehicles (UAV) , we need to allocate the decision-making rights between them in the MAV/UAV formation command and control system. The approach of determining various factors weight on the decision-making level in complex environment is the difficulty in solving this problem. In the paper, the level of decision-making in MAV/UAV cooperative attacking was divided. The factors that influenced decision- making level were analysed and the decision matrix was built. A dynamic entropy weight algorithm based on normal approximation interval cross-entropy theory was proposed. At last, simulation results show the consistency with pre- analysis and effectiveness of this algorithm in solving MAV/UAV cooperative decision allocation problem.
关 键 词:有人/无人机协同 决策分配 交叉熵 动态熵权 区间数
分 类 号:V271.4[航空宇航科学与技术—飞行器设计]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.3