Spatio-temporal synchronization of reaction–diffusion BAM neural networks via impulsive pinning control-Reference-Cited by-同舟云学术

Spatio-temporal synchronization of reaction–diffusion BAM neural networks via impulsive pinning control

Published:2020-12 Issue: Volume:418 Page:300-313
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Lin Jiazhe,Xu Rui,Li Liangchen

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference41 articles.

1. A theory for synchronization of dynamical systems;Luo;Communications in Nonlinear Science and Numerical Simulation,2009

2. Impulsive synchronization of reaction-diffusion neural networks with mixed delays and its application to image encryption;Chen;IEEE Transactions on Neural Networks and Learning Systems,2016

3. Stability of stochastic impulsive reaction-diffusion neural networks with S-type distributed delays and its application to image encryption;Wei;Neural Networks,2019

4. A new chaos synchronization scheme and its application to secure communications;Zhang;Nonlinear Dynamics,2013

5. Adaptive synchronization of reaction-diffusion neural networks and its application to secure communication;Shanmugam;IEEE Transactions on Cybernetics,2018

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Novel LMI-based adaptive boundary synchronisation of fractional-order fuzzy reaction–diffusion BAM neural networks with leakage delay;International Journal of Systems Science;2023-10-10

2. Fixed/Preassigned-Time Synchronization of Complex Variable BAM Neural Networks with Time-Varying Delays;Neural Processing Letters;2023-06-13

3. Finite-time synchronization for delayed BAM neural networks by the approach of the same structural functions;Chaos, Solitons & Fractals;2022-11

4. Linkage-constraint criteria for robust exponential stability of nonlinear BAM system with derivative contraction coefficients and piecewise constant arguments;Information Sciences;2022-10

5. Periodic Oscillatory Phenomenon in Fractional-Order Neural Networks Involving Different Types of Delays;Mathematical Problems in Engineering;2021-10-25