DocumentCode
46533
Title
An Improved Integral Inequality to Stability Analysis of Genetic Regulatory Networks With Interval Time-Varying Delays
Author
Xian Zhang ; Ligang Wu ; Shaochun Cui
Author_Institution
Sch. of Math. Sci., Heilongjiang Univ., Harbin, China
Volume
12
Issue
2
fYear
2015
fDate
March-April 2015
Firstpage
398
Lastpage
409
Abstract
This paper focuses on stability analysis for a class of genetic regulatory networks with interval time-varying delays. An improved integral inequality concerning on double-integral items is first established. Then, we use the improved integral inequality to deal with the resultant double-integral items in the derivative of the involved Lyapunov-Krasovskii functional. As a result, a delay-range-dependent and delay-rate-dependent asymptotical stability criterion is established for genetic regulatory networks with differential time-varying delays. Furthermore, it is theoretically proven that the stability criterion proposed here is less conservative than the corresponding one in [ Neurocomputing, 2012, 93: 19-26]. Based on the obtained result, another stability criterion is given under the case that the information of the derivatives of delays is unknown. Finally, the effectiveness of the approach proposed in this paper is illustrated by a pair of numerical examples which give the comparisons of stability criteria proposed in this paper and some literature.
Keywords
asymptotic stability; bioinformatics; genetics; stability criteria; time-varying systems; delay-rate-dependent asymptotical stability criterion; differential time-varying delays; genetic regulatory networks; improved integral inequality; interval time-varying delays; involved Lyapunov-Krasovskii functional; resultant double-integral items; stability analysis; Asymptotic stability; Bioinformatics; Computational biology; Delays; IEEE transactions; Stability criteria; Genetic regulatory networks (GRNs); asymptotic stability; integral inequality; interval time-varying delays;
fLanguage
English
Journal_Title
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
Publisher
ieee
ISSN
1545-5963
Type
jour
DOI
10.1109/TCBB.2014.2351815
Filename
6883208
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