Mittag-Leffler synchronization of fractional neural networks with time-varying delays and reaction–diffusion terms using impulsive and linear controllers-Reference-Cited by-同舟云学术

Mittag-Leffler synchronization of fractional neural networks with time-varying delays and reaction–diffusion terms using impulsive and linear controllers

Published:2017-12 Issue: Volume:96 Page:22-32
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Stamova Ivanka,Stamov Gani

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference56 articles.

1. Topics in fractional differential equations;Abbas,2012

2. Lyapunov functions for fractional order systems;Aguila-Camacho;Communications in Nonlinear Science and Numerical Simulation,2014

3. On a time fractional reaction diffusion equation;Ahmad;Applied Mathematics and Computation,2015

4. Pseudo-almost periodic solution on time-space scales for a novel class of competitive neutral-type neural networks with mixed time-varying delays and leakage delays;Arbi;Neural Processing Letters,2017

5. An analysis of exponential stability of delayed neural networks with time varying delays;Arik;Neural Networks,2004

Cited by 114 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. Stability and synchronization of fractional-order reaction–diffusion inertial time-delayed neural networks with parameters perturbation;Neural Networks;2024-11

2. Synchronization of Fractional Reaction-Diffusion Complex Networks With Unknown Couplings;IEEE Transactions on Network Science and Engineering;2024-09

3. Synchronization for Delayed Fractional-Order Memristive Neural Networks Based on Intermittent-Hold Control with Application in Secure Communication;Fractal and Fractional;2024-08-30

4. New synchronization results for fractional neural networks with parameter uncertainty and reaction-diffusion terms;Chinese Journal of Physics;2024-07

5. Stabilization of coupled delayed nonlinear time fractional reaction diffusion systems using sampled‐in‐space sensing and actuation;Asian Journal of Control;2024-04-15