Volume 24, Issue 16 pp. 2574-2596
Research Article

Robust delay-probability-distribution-dependent stability of uncertain stochastic genetic regulatory networks with random discrete delays and distributed delays

Wenqin Wang

Corresponding Author

Wenqin Wang

School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731 China

Correspondence to: Wenqin Wang, School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China.

E-mail: [email protected]

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Shouming Zhong

Shouming Zhong

School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731 China

Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, 610054 China

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Feng Liu

Feng Liu

Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, 610054 China

School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, 610054 China

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Jun Cheng

Jun Cheng

School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731 China

School of Automatic, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731 China

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First published: 03 May 2013
Citations: 34

SUMMARY

This study is concerned with the problem of robust delay-probability-distribution-dependent stability of uncertain stochastic genetic regulatory networks with mixed time-varying delays. The parameter uncertainties are modeled as having a structured linear fractional form. Besides, we consider that the derivatives of the discrete time delays have different upper bounds in various delay intervals. Moreover, less conservative conditions are obtained by choosing an augmented novel Lyapunov–Krasovskii functional and using the lower bound lemma together with the Jensen inequality lemma. Furthermore, the criteria can be applicable to both fast and slow time-varying delays. Finally, numerical examples are presented to illustrate the effectiveness of the theoretical results. Copyright © 2013 John Wiley & Sons, Ltd.

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