A new inequality of L $\mathcal{L}$ -operator and its application to stochastic non-autonomous impulsive neural networks with delays-Reference-Cited by-同舟云学术

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A new inequality of L $\mathcal{L}$ -operator and its application to stochastic non-autonomous impulsive neural networks with delays

Published:2016-01-13 Issue:1 Volume:2016 Page:
ISSN:1687-1847
Container-title:Advances in Difference Equations
language:en
Short-container-title:Adv Differ Equ

Author:

Luo Tianqi^ORCID,Long Shujun

Funder

Fundamental Research Fund of Sichuan Provincial Science and Technology Department

National Natural Science Foundation of China

Project of Leshan Normal University

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Algebra and Number Theory,Analysis

Link

http://link.springer.com/content/pdf/10.1186/s13662-015-0697-y.pdf

Reference47 articles.

1. Cao, J, Zhou, D: Stability analysis of delayed cellular neural networks. Neural Netw. 11, 1601-1605 (1998)

2. Chua, LO, Yang, L: Cellular neural networks: theory. IEEE Trans. Circuits Syst. 35, 1257-1272 (1988)

3. Arik, S: An analysis of global asymptotic stability of delayed cellular neural networks. IEEE Trans. Neural Netw. 13, 1239-1242 (2002)

4. Liao, X, Wang, J: Algebraic criteria for global exponential stability of cellular neural networks with multiple time delays. IEEE Trans. Circuits Syst. 50, 268-274 (2003)

5. Lakshmikantham, V, Bainov, D, Simeonov, P: Theory of Impulsive Differential Equations. World Scientific, Singapore (1989)

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