舰艇CGF搜潜过程马氏决策规划模型  

Markov Decision Programming Model of Warship CGF Searching Submarine Process

作　　者：孙珠峰[1] 肖明彦[1] 宋汝刚[1] 

机构地区：[1]海军潜艇学院,山东青岛266071

出　　处：《指挥控制与仿真》2009年第4期40-42,共3页Command Control & Simulation

摘　　要：舰艇搜索潜艇的过程可以近似地看作一种马尔可夫过程。研究了潜艇训练仿真系统中舰艇CGF(计算机生成兵力)搜索潜艇过程中的状态转移过程和随机搜索发现目标的概率模型,将舰艇CGF搜索潜艇的过程分为若干独立的阶段,建立了搜潜过程马氏决策规划模型,提出了在各种不同初始搜索状态下的舰艇搜索策略。仿真结果给出了舰艇CGF的最优搜索策略集合和发现概率,验证了马氏决策规划模型的有效性。The process of warship CGF searching submarine could be nearly regarded as a Markov process. This paper researched the state transfer process and the random searching target probability model of the process of warship CGF searching submarine in Submarine Training Simulation System . The process of warship searching submarine was separated to several independent stages. Then established the Markov decision programming model and brought forward warship＇s searching strategy based on deferent initial searching state of the warship. Simulation results gave the optimized searching strategy set and success probability of the warship and verified the Markov decision programming model of warship searching submarine.

关 键 词：舰艇CGF 搜索 马氏决策规划 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术] O211.62[自动化与计算机技术—计算机科学与技术]