Literature DB >> 21900072

Delay-independent stability of genetic regulatory networks.

Fang-Xiang Wu1.   

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.

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Year:  2011        PMID: 21900072     DOI: 10.1109/TNN.2011.2165556

Source DB:  PubMed          Journal:  IEEE Trans Neural Netw        ISSN: 1045-9227


  2 in total

1.  M-matrix-based stability conditions for genetic regulatory networks with time-varying delays and noise perturbations.

Authors:  Li-Ping Tian; Zhong-Ke Shi; Li-Zhi Liu; Fang-Xiang Wu
Journal:  IET Syst Biol       Date:  2013-10       Impact factor: 1.615

2.  State observer design for delayed genetic regulatory networks.

Authors:  Li-Ping Tian; Zhi-Jun Wang; Amin Mohammadbagheri; Fang-Xiang Wu
Journal:  Comput Math Methods Med       Date:  2014-05-22       Impact factor: 2.238

  2 in total

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