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Stability Analysis of Genetic Regulatory Networks With Switching Parameters and Time Delays.

Authors :
Yu, Tingting
Liu, Jianxing
Zeng, Yi
Zhang, Xian
Zeng, Qingshuang
Wu, Ligang
Source :
IEEE Transactions on Neural Networks & Learning Systems. Jul2018, Vol. 29 Issue 7, p3047-3058. 12p.
Publication Year :
2018

Abstract

This paper is concerned with the exponential stability analysis of genetic regulatory networks (GRNs) with switching parameters and time delays. In this paper, a new integral inequality and an improved reciprocally convex combination inequality are considered. By using the average dwell time approach together with a novel Lyapunov–Krasovskii functional, we derived some conditions to ensure the switched GRNs with switching parameters and time delays are exponentially stable. Finally, we give two numerical examples to clarify that our derived results are effective. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2162237X
Volume :
29
Issue :
7
Database :
Academic Search Index
Journal :
IEEE Transactions on Neural Networks & Learning Systems
Publication Type :
Periodical
Accession number :
130351519
Full Text :
https://doi.org/10.1109/TNNLS.2016.2636185