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

页码：813 / 818

页数：6

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