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Almost sure exponential stability of stochastic Cohen–Grossberg neural networks with continuous distributed delays of neutral type

Optik, 2015
Abstract In this paper, a class of stochastic Cohen–Grossberg neural networks (SCGNNS) with continuous distributed delays of neutral type is considered. Firstly, some conditions are derived to ensure the existence and uniqueness of the almost periodic solution by means of contraction mapping principle and inequality techniques.
Yongqing Yang, Tian Liang, Xianyun Xu
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A Novel Condition for Stability of Cohen-Grossberg Neural Networks of Neutral-Type with Discrete Delays

2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), 2020
In this study, global stability analysis is carried out for neutral-type Cohen-Grossberg neural systems with discrete time delays in state of neurons and discrete neutral delays in the time derivative of states of neurons. A proper Lyapunov functional is utilized to derive a novel sufficient condition for global asymptotic stability of this class of ...
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Passivity analysis of neutral‐type Cohen–Grossberg neural networks involving three kinds of time‐varying delays

Mathematical Methods in the Applied Sciences
This paper discusses the issue of passivity analysis of the neutral‐type Cohen–Grossberg neural networks (NTCGNNs) with distributed, transmission, and neutral time‐varying delays. A new method based on the system solutions was proposed to analyze passivity.
Jiayang Liu, Yantao Wang, Xin Wang
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Robust fixed-time synchronization of delayed Cohen–Grossberg neural networks

Neural Networks, 2016
Ying Wan, Jinde Cao, Guanghui Wen
exaly  

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