Dissipativity Analysis of Switched Gene Regulatory Networks Actuated by Persistent Dwell-Time Switching Strategy

被引：8

作者：

Shen, Hao ^{[1
,2
]}

Huang, Zhengguo ^{[1
]}

Xia, Jianwei ^{[3
]}

Cao, Jinde ^{[2
]}

Park, Ju H. ^{[4
]}

机构：

[1] Anhui Univ Technol, Sch Elect & Informat Engn, Maanshan 243002, Peoples R China

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

[3] Liaocheng Univ, Sch Math Sci, Liaocheng 252059, Shandong, Peoples R China

[4] Yeungnam Univ, Dept Elect Engn, Gyongsan 38541, South Korea

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2021年 / 51卷 / 09期

基金：

中国国家自然科学基金; 新加坡国家研究基金会;

关键词：

Switches; Proteins; Gene expression; Stability analysis; Biological system modeling; Control theory; Dissipativity property; global uniform exponential stability; persistent dwell-time switching strategy; switched gene regulatory networks; NONLINEAR-SYSTEMS; STATE ESTIMATION; NEURAL-NETWORKS; H-INFINITY; STOCHASTIC STABILITY; FEEDBACK-CONTROL; LINEAR-SYSTEMS; STABILIZATION; EXPRESSION;

D O I：

10.1109/TSMC.2019.2956281

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 article concentrates on the global uniform exponential stability analysis and dissipativity property for a class of discrete-time gene regulatory networks (GRNs). To describe the processes at work as cells change phenotype, the time-dependent persistent dwell-time switching strategy is applied to switched GRNs. Formulating the mode-dependent Lyapunov-Krasovskii functional, the global uniform exponential stability and strictly dissipativity property criteria for the GRNs subject to time-varying delays are presented. Ultimately, an example, including three cases is employed to illustrate and discuss the availability of the given criteria.

引用

页码：5535 / 5546

页数：12

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