基于马尔柯夫过程的武器系统目标分配问题决策分析

将防空作战中武器系统目标分配决策作为一个在动态随机系统中实现最优化的问题,并用马尔柯夫过程理论进行建模分析,提出新的算法并运用Matlab编程;通过对实行不同策略时武器系统长期平均效能的分析比较,指出在目标分配问题上仅靠原有的静态线性规划决策方法是不够的,还必须考虑动态随机对抗过程本身的特性.

Decision analysis of weapon target assignment problems based on Markovian process

Regarding the decision of weapon target assignment in antiaircraft operation as a problem of realizing optimization in dynamic stochastic system, this paper makes modeling analysis to the weapon target assignment with Markovian process theory, and gives a new algorithm and assembles program by Matlab. Through the analysis of long-term average effectiveness of weapon system in different strategies, authors point out that it's not enough to solve the problem of weapon larget assignment just by the origind static linear programming, and a new factor-the speciality of dynamic stochastic process should be also considered.