摘要
本文基于矩阵的方法研究作战任务的建模和重组方法,以便高效地完成反导作战任务.首先,应用设计结构矩阵,定量描述任务之间的信息交互强度.其次,基于可达矩阵和强连通矩阵,识别并重组耦合任务集,实现粗粒度任务分解.然后,引入时间-耦合度的细粒度解耦算法,减少局部迭代循环.再采用缩减矩阵和层次递阶矩阵,建立多级递阶层次化模型,优化任务的全局层级结构.最后,结合案例验证了方法的可行性.
In order to accomplish the operational task efficiently, a modeling and reengineering method based on matrix is discussed in this paper. Firstly, we describe the task correlation degree quantitatively based on design structure matrix. Secondly, we apply the reachable matrix and strongly connected matrix to recognize and reengineer coupled task sets, and decompose the coarse-grained task. Thirdly, we use the tearing algorithm based on time-coupling to reduce local iteration cycles. Then, according to the reduced and hierarchical matrices, we establish the multi-level hierarchical model to design global hierarchical structure. Finally, we present an example to verify this method is practicable.
出处
《工程数学学报》
CSCD
北大核心
2013年第5期633-641,共9页
Chinese Journal of Engineering Mathematics
基金
国家重点基础研究发展计划(613900201)
全军军事学研究生课题(2011JY002-504)~~
关键词
建模
重组
设计结构矩阵
可达矩阵
强连通矩阵
缩减矩阵
层次递阶矩阵
modeling
reengineering
design structure matrix
reachable matrix
strongly connected matrix
reduced matrix
hierarchical matrix
