New results on global exponential stability for impulsive cellular neural networks with any bounded time-varying delays-Reference-Cited by-同舟云学术

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New results on global exponential stability for impulsive cellular neural networks with any bounded time-varying delays

Published:2012-02 Issue:3-4 Volume:55 Page:837-843
ISSN:0895-7177
Container-title:Mathematical and Computer Modelling
language:en
Short-container-title:Mathematical and Computer Modelling

Author:

Wu Bo,Liu Yang,Lu Jianquan

Funder

National Natural Science Foundations of China (NSFC)

Program for New Century Excellent Talents in University

Alexander von Humboldt Foundation of Germany

Natural Science Foundation of Jiangsu Province of China

Zhejiang Innovation Project

Natural Science Foundation of Zhejiang Province of China

Publisher

Elsevier BV

Subject

Computer Science Applications,Modeling and Simulation

Reference31 articles.

1. Cellular neural networks: theory;Chua;IEEE Trans. Circuits Syst.,1988

2. Cellular neural networks: applications;Chua;IEEE Trans. Circuits Syst.,1988

3. Global exponential stability for impulsive cellular neural networks with time-varying delays;Ahmad;Nonlinear Analysis TMA,2008

4. Exponential stability of impulsive cellular neural networks with time delay via Lyapunov functionals;Wang;Appl. Math. Comput.,2007

5. Global exponential stability of delayed cellular neural networks with impulses;Xia;Neurocomputing,2007

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