DocumentCode
1314410
Title
Delay-Independent Stability of Genetic Regulatory Networks
Author
Wu, Fang-Xiang
Author_Institution
Dept. of Mech. Eng., Univ. of Saskatchewan, Saskatoon, SK, Canada
Volume
22
Issue
11
fYear
2011
Firstpage
1685
Lastpage
1693
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.
Keywords
delays; genetics; matrix algebra; nonlinear differential equations; proteins; stability; delay-independent stability; global delay-independent stability; local delay-independent stability; nonlinear differential equations; nonnegative matrix theory; ribonucleic acid; synthetic gene regulatory network; time delays; Circuit stability; Delay effects; Eigenvalues and eigenfunctions; Genetics; Proteins; Splicing; Stability analysis; Delay-independent stability; M-matrix multiple time delays; genetic regulatory networks; messenger ribonucleic acid alternative splicing; Algorithms; Alternative Splicing; Artificial Intelligence; Computer Simulation; Gene Expression Regulation; Genetics; Models, Genetic; Neural Networks (Computer); RNA, Messenger; Thermodynamics;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/TNN.2011.2165556
Filename
6009229
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