A novel Lyapunov stability analysis of neutral-type Cohen–Grossberg neural networks with multiple delays
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Cognitive Neuroscience
Reference42 articles.
1. Global asymptotic stability of Cohen-Grossberg neural networks of neutral type;Akca;Journal of Mathematical Sciences,2015
2. An analysis of stability of neutral-type neural systems with constant time delays;Arik;Journal of the Franklin Institute,2014
3. A modified Lyapunov functional with application to stability of neutral-type neural networks with time delays;Arik;Journal of the Franklin Institute,2019
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5. Exponential stability for neutral stochastic Markov systems with time-varying delay and its applications;Chen;IEEE Transactions on Cybernetics,2016
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1. Hopf bifurcations in a fractional-order neural network introducing delays into neutral terms;The European Physical Journal Plus;2024-08-10
2. Global robust exponential synchronization of neutral-type interval Cohen–Grossberg neural networks with mixed time delays;Information Sciences;2024-08
3. Passivity analysis of neutral‐type Cohen–Grossberg neural networks involving three kinds of time‐varying delays;Mathematical Methods in the Applied Sciences;2024-07-15
4. Guaranteed performance control for delayed Markov jump neural networks with output quantization and data-injection attacks;International Journal of Machine Learning and Cybernetics;2024-06-03
5. A norm stability condition of neutral-type Cohen-Grossberg neural networks with multiple time delays;Chaos, Solitons & Fractals;2023-10
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