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Finite-time stability of genetic regulatory networks with impulsive effects

Authors :
Jianlong Qiu
Chengdong Yang
Kaiyun Sun
Xiao Chen
Xiangyong Chen
Ancai Zhang
Source :
Neurocomputing. 219:9-14
Publication Year :
2017
Publisher :
Elsevier BV, 2017.

Abstract

We study the finite-time stability of genetic regulatory networks with impulsive effects. Using the method of Lyapunov function, sufficient conditions of the finite-stability, in terms of linear matrix inequalities, are established. A numerical example is provided to further illustrate the significance of our results.

Subjects

Subjects :
Lyapunov function
0209 industrial biotechnology
Operations research
Computer science
Cognitive Neuroscience
02 engineering and technology
Stability (probability)
Computer Science Applications
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020901 industrial engineering & automation
Artificial Intelligence
0202 electrical engineering, electronic engineering, information engineering
symbols
Applied mathematics
020201 artificial intelligence & image processing
Finite time

Details

ISSN :
09252312
Volume :
219
Database :
OpenAIRE
Journal :
Neurocomputing
Accession number :
edsair.doi...........47e910a9ee7607cc71828f5d4c314697

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