Robust Control Invariance of Probabilistic Boolean Control Networks via Event-Triggered Control

被引：44

作者：

Tong, Liyun ^{[1
]}

Liu, Yang ^{[1
]}

Li, Yuanyuan ^{[2
]}

Lu, Jianquan ^{[3
]}

Wang, Zhen ^{[4
]}

Alsaadi, Fuad E. ^{[5
]}

机构：

[1] Zhejiang Normal Univ, Coll Math Phys & Informat Engn, Jinhua 321004, Peoples R China

[2] Nanjing Forestry Univ, Dept Appl Math, Nanjing 210037, Jiangsu, Peoples R China

[3] Southeast Univ, Sch Math, Nanjing 210096, Jiangsu, Peoples R China

[4] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao 266590, Peoples R China

[5] King Abdulaziz Univ, Fac Engn, Dept Elect & Comp Engn, Jeddah 21589, Saudi Arabia

来源：

IEEE ACCESS | 2018年 / 6卷

基金：

中国国家自然科学基金;

关键词：

Probabilistic Boolean control network; event-triggered control; semi-tensor product; invariant set; STATE-FEEDBACK STABILIZATION; SET STABILIZATION; SYSTEMS; CONTROLLABILITY; OBSERVABILITY; PARAMETERS; STABILITY;

D O I：

10.1109/ACCESS.2018.2828128

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper investigates the robust control invariance of probabilistic Boolean control networks via the technique of semi-tensor product. Some essential conditions are obtained to check whether the set is a robust event-triggered control invariant set (RETCIS) through the given event-triggeredcontroller (ETC). Moreover, an algorithm is designed for ETC to ensure that the given set is RETCIS. At last, a model of the apoptosis network shows the effectiveness of the main results.

引用

页码：37767 / 37774

页数：8

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