Approximation of state variables for discrete-time stochastic genetic regulatory networks with leakage, distributed, and probabilistic measurement delays: a robust stability problem-Reference-Cited by-同舟云学术

Approximation of state variables for discrete-time stochastic genetic regulatory networks with leakage, distributed, and probabilistic measurement delays: a robust stability problem

Published:2018-04-03 Issue:1 Volume:2018 Page:
ISSN:1687-1847
Container-title:Advances in Difference Equations
language:en
Short-container-title:Adv Differ Equ

Author:

Pandiselvi S.,Raja R.,Cao Jinde,Rajchakit G.,Ahmad Bashir

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province of China

Thailand research grant fund

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Algebra and Number Theory,Analysis

Link

http://link.springer.com/content/pdf/10.1186/s13662-018-1569-z.pdf

Reference26 articles.

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3. Cao, J., Ren, F.: Exponential stability of discrete-time genetic regulatory networks with delays. IEEE Trans. Neural Netw. 19(3), 520–523 (2008)

4. Lv, B., Liang, J., Cao, J.: Robust distributed state estimation for genetic regulatory networks with Markovian jumping parameters. Commun. Nonlinear Sci. Numer. Simul. 16, 4060–4078 (2011)

5. Shen, B., Wang, Z., Liang, J., Liu, X.: Sampled-data H ∞ $H_{\infty}$ filtering for stochastic genetic regulatory networks. Int. J. Robust Nonlinear Control 21(15), 1759–1777 (2011)

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