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Delay-Independent Stability of Genetic Regulatory Networks.

Authors :
Wu, Fang-Xiang
Source :
IEEE Transactions on Neural Networks; Nov2011, Vol. 22 Issue 11, p1685-1693, 9p
Publication Year :
2011

Abstract

Genetic regulatory networks can be described by nonlinear differential equations with time delays. In this paper, we study both locally and globally delay-independent stability of genetic regulatory networks, taking messenger ribonucleic acid alternative splicing into consideration. Based on nonnegative matrix theory, we first develop necessary and sufficient conditions for locally delay-independent stability of genetic regulatory networks with multiple time delays. Compared to the previous results, these conditions are easy to verify. Then we develop sufficient conditions for global delay-independent stability for genetic regulatory networks. Compared to the previous results, this sufficient condition is less conservative. To illustrate theorems developed in this paper, we analyze delay-independent stability of two genetic regulatory networks: a real-life repressilatory network with three genes and three proteins, and a synthetic gene regulatory network with five genes and seven proteins. The simulation results show that the theorems developed in this paper can effectively determine the delay-independent stability of genetic regulatory networks. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10459227
Volume :
22
Issue :
11
Database :
Complementary Index
Journal :
IEEE Transactions on Neural Networks
Publication Type :
Academic Journal
Accession number :
66964445
Full Text :
https://doi.org/10.1109/TNN.2011.2165556