Stability analysis of a dynamical model representing gene regulatory networks
Date
2012
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Source Title
International Federation of Automatic Control
IFAC Proceedings Volumes
Print ISSN
1474-6670
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Volume
10
Issue
14
Pages
191 - 196
Language
English
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Volume Title
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Abstract
In this paper we perform stability analysis of a class of cyclic biological processes involving time delayed feedback. More precisely, we analyze the genetic regulatory network having nonlinearities with negative Schwarzian derivatives. We derive a set of conditions implying global stability of the genetic regulatory network under positive feedback. As a special case, we also consider homogenous genetic regulatory networks and obtain an appropriate stability condition which depends only on the parameters of the nonlinearity function. © 2012 IFAC.
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Keywords
Asymptotic stability, Gene regulatory networks, Hill functions, Nonlinear time delay networks, Schwarzian derivatives, Biological process, Dynamical model, Gene regulatory networks, Genetic regulatory networks, Global stability, Hill function, Nonlinear time delays, Nonlinearity function, Schwarzian derivative, Stability analysis, Stability condition, Time-delayed feedback, Asymptotic stability, Genes, Time delay