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
Link To Document :
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