Global Exponential Stability Analysis for A Class of Coupled Cyclic Genetic Regulatory Networks with Multiple Time-Varying Delays

被引:1
|
作者
Yu, Tingting [1 ,2 ]
Zhang, Xian [1 ,2 ]
Wang, Xin [1 ,2 ]
机构
[1] Heilongjiang Univ, Sch Math Sci, Harbin 150080, Peoples R China
[2] Heilongjiang Univ, Heilongjiang Prov Key Lab Theory & Computat Compl, Harbin 150080, Peoples R China
来源
IFAC PAPERSONLINE | 2021年 / 54卷 / 18期
关键词
Genetic regulatory networks; exponential stability; coupled repressilators; nonnegative equilibrium points;
D O I
10.1016/j.ifacol.2021.11.110
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The coupled repressilators, as a special case of cyclic genetic regulatory networks, can be used to adjust oscillations at the cellular level, and hence it have received extensive attention from many scholars. This paper addresses the problem of global exponential stability analysis for nonnegative equilibrium points of a class of coupled repressilator models with multiple time-varying delays. Sufficient conditions are investigated to guarantee that the considered model has a unique nonnegative equilibrium point which is globally exponentially stable. The obtained criteria are composed of several simple linear inequalities that are only related to the model parameters, so they can be easily verified by using the standard software tools. The results of two illustrative examples present the effectiveness of the proposed approach. Copyright (C) 2021 The Authors.
引用
收藏
页码:23 / 28
页数:6
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