摘要
在搜索状态建模和一阶搜索状态方程求解的基础上,建立了对随机运动进行连续搜索的发现概率最优控制模型。应用动态规划原理给出了最优搜索路径的逼近算法。算例表明,在目标初始位置和速度均服从圆正态分布的条件下,最优路径算法收敛。
Based on search state modeling and the first order search state model,the optimal control model of the probability to find a random motion target with a continuous search path is established.An approximation algorithm for the optimal search path is given with the dynamic programming principle.The examples show that the algorithm converges under the condition that the initial location and velocity of the target obey the circular normal distribution.
作者
陈建勇
陈长康
孙明军
CHEN Jianyong;CHEN Changkang;SUN Mingjun(Department of Electronic and Information Engineering,Naval Aeronautical University,Yantai 264001,China;Graduate Students’Brigade,Naval Aeronautical University,Yantai 264001,China)
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2018年第5期1155-1159,共5页
Systems Engineering and Electronics
基金
国家自然科学基金(61271444)资助课题
关键词
最优搜索
搜索路径
最优化
运动目标
动态规划
optimal search
search path
optimization
moving target
dynamic programming
