Global exponential stability of non-autonomous FCNNs with Dirichlet boundary conditions and reaction–diffusion terms-Reference-Cited by-同舟云学术

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Global exponential stability of non-autonomous FCNNs with Dirichlet boundary conditions and reaction–diffusion terms

Published:2010-10 Issue:10 Volume:34 Page:3022-3029
ISSN:0307-904X
Container-title:Applied Mathematical Modelling
language:en
Short-container-title:Applied Mathematical Modelling

Author:

Wu Ailong,Fu Chaojin

Funder

Fok Ying Tung Education Foundation

Natural Science Foundation of China

Key Program of Educational Ministry of China

Key Program of Educational Department of Hubei Province

Innovation Teams of Hubei Normal University

Publisher

Elsevier BV

Subject

Applied Mathematics,Modelling and Simulation

Reference18 articles.

1. Dynamical behaviors of Cohen–Grossberg neural networks with delays and reaction–diffusion terms;Zhao;Neurocomputing,2006

2. Periodic oscillation of discrete-time bidirectional associative memory neural networks;Zhao;Neurocomputing,2007

3. Stability analysis of stochastic fuzzy cellular neural networks with delays;Chen;Neurocomputing,2008

4. Exponential stability and periodic solutions of fuzzy cellular neural networks with time-varying delays;Yuan;Neurocomputing,2006

5. Exponential stability of fuzzy cellular neural networks with distributed delay;Huang;Physics Letter A,2006

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1. Dynamical stability in a delayed neural network with reaction–diffusion and coupling;Nonlinear Dynamics;2018-02-07

2. A new inequality of L $\mathcal{L}$ -operator and its application to stochastic non-autonomous impulsive neural networks with delays;Advances in Difference Equations;2016-01-13

3. Adaptive synchronization of delayed reaction-diffusion FCNNs via learning control approach;Journal of Intelligent & Fuzzy Systems;2015

4. Exponential stability of FCNNs with time-varying leakage delays and reaction–diffusion terms;Neurocomputing;2014-12

5. New results on the stability of fuzzy cellular neural networks with time-varying leakage delays;Neural Computing and Applications;2014-07-23

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