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New delay-dependent stability criteria of genetic regulatory networks subject to time-varying delays.

Authors :
Li, Zhen
Chen, Dongyan
Liu, Yurong
Zhao, Yanfeng
Source :
Neurocomputing. Sep2016, Vol. 207, p763-771. 9p.
Publication Year :
2016

Abstract

In this paper, the stability analysis problem is investigated for a class of genetic regulatory networks (GRNs) with time-varying delays. Here, the addressed GRNs are modelled by the nonlinear differential equations. A new Lyapunov–Krasovkii functional is constructed by additionally introducing some triple integral terms. By employing the Jensen inequality, the free-weighting matrix and the convex combination idea, a semi-definite programme approach is developed to derive new sufficient condition guaranteeing the global asymptotic stability of the addressed GRNs subject to time-varying delays. Subsequently, a new stability criterion is proposed for GRNs with time-varying delays when the upper bounds of the derivative of the time delays are unknown. It is shown that the feasibility of presented results can be readily checked by using the standard numerical software. Finally, we provide two numerical examples to illustrate the effectiveness and less conservativeness of the proposed stability criteria. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09252312
Volume :
207
Database :
Academic Search Index
Journal :
Neurocomputing
Publication Type :
Academic Journal
Accession number :
117373584
Full Text :
https://doi.org/10.1016/j.neucom.2016.05.066