A Note on the Robust Stability of Genetic Regulatory Networks with Time-Varying Delays

被引：0
|
作者：
Feng, Wei [1 ,2 ]
Zhang, Wei [2 ]
Xu, Guangxia [3 ]
Wu, Haixia [2 ]
机构：
[1] Chongqing Univ, Coll Automat, Chongqing 400044, Peoples R China
[2] Chongqing Educ Coll, Dept Comp & Modern Educ Technol, Chongqing 400067, Peoples R China
[3] Chongqing Univ Posts & Telecommun, Coll Software, Chongqing 400065, Peoples R China
来源：
2008 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2 | 2008年
关键词：
genetic regulatory networks; robust stability; time-varying delays; Lyapunov-Krasovskii functional; LMI;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper is concerned the robust stability analysis problem for genetic regulatory networks with time-varying delays. By utilizing a Lyapunov-Krasovskii functional, we show that the addressed genetic regulatory networks are robustly, asymptotically stable if a convex optimization problem is feasible. A stability criterion is derived and formulated by means of the feasibility of a linear matrix inequality (LMI), which can be effectively solved by some standard numerical packages. A numerical example is given to demonstrate the usefulness of the proposed robust stability criterion.
引用
收藏
页码：524 / +
页数：2
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