Two Methods of Dealing with Large-Scale Logical Networks

被引：0
|
作者：
Liu, Yuna [1 ]
Wang, Shuling [1 ]
Li, Haitao [1 ]
机构：
[1] Shandong Normal Univ, Sch Math & Stat, Jinan 250014, Peoples R China
来源：
2020 IEEE 16TH INTERNATIONAL CONFERENCE ON CONTROL & AUTOMATION (ICCA) | 2020年
基金：
中国国家自然科学基金;
关键词：
BOOLEAN CONTROL NETWORKS; STABILIZATION; CONTROLLABILITY; STABILITY;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In the past few decades, the computational complexity of logical networks (LNs) has become a heated research topic. This paper aims to reduce the computational complexity of the existing results in order to make them applicable to large-scale LNs. The topological structure of large-scale probabilistic logical networks (PLNs) is analyzed via matrix decomposition technique. By virtue of aggregation method, this paper considers the reachability of large-scale logical control networks (LCNs), and some efficient criteria are established. Finally, some illustrative examples are given to demonstrate the effectiveness of the obtained new results.
引用
收藏
页码：813 / 818
页数：6
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