On sampled-data control for stabilization of genetic regulatory networks with leakage delays

被引：40

作者：

Li, Li ^{[1
]}

Yang, Yongqing ^{[1
]}

机构：

[1] Jiangnan Univ, Sch Sci, Key Lab Adv Proc Control Light Ind, Minist Educ, Wuxi 214122, Peoples R China

来源：

NEUROCOMPUTING | 2015年 / 149卷

基金：

中国国家自然科学基金;

关键词：

Genetic regulatory network; Sampled-data control; Stabilization; Leakage delay; TIME-VARYING DELAYS; BAM NEURAL-NETWORKS; EXPONENTIAL STABILITY; STATE ESTIMATOR; SYSTEMS BIOLOGY; DESIGN; SYNCHRONIZATION;

D O I：

10.1016/j.neucom.2014.09.005

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The leakage delay has large impacts on the dynamical behavior of genetic regulatory networks (GRNs) and can bring tendency to destabilize systems. This paper is concerned with the stabilization of genetic regulatory networks with leakage delays. Some novel conditions for stabilizing the GRNs are obtained based on Lyapunov method. The sampled-data controller is designed by solving linear matrix inequalities (LMIs). Two numerical examples are given to demonstrate the effectiveness of the theoretical results. (c) 2014 Elsevier B.V All rights reserved.

引用

页码：1225 / 1231

页数：7

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