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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 6/2012

01.09.2012 | Original Article

Exponential stability of genetic regulatory networks with mixed delays by periodically intermittent control

verfasst von: Yang Liu, Haijun Jiang

Erschienen in: Neural Computing and Applications | Ausgabe 6/2012

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Abstract

This paper investigates the exponential stability for a class of mixed delayed genetic regulatory networks by periodically intermittent control, mixed delays here include time-varying delays and finite distributed delays. Some sufficient criteria for exponential stabilization are derived by using mathematical induction methods and the analysis techniques. Finally, an example is presented to demonstrate the effectiveness of the theoretical results.
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Metadaten
Titel
Exponential stability of genetic regulatory networks with mixed delays by periodically intermittent control
verfasst von
Yang Liu
Haijun Jiang
Publikationsdatum
01.09.2012
Verlag
Springer-Verlag
Erschienen in
Neural Computing and Applications / Ausgabe 6/2012
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-011-0551-4

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