Synchronization between Bidirectional Coupled Nonautonomous Delayed Cohen-Grossberg Neural Networks [PDF]
Abstract and Applied Analysis, 2012 Based on using suitable Lyapunov function and the properties of M-matrix, sufficient conditions for complete synchronization of bidirectional coupled nonautonomous Cohen-Grossberg neural networks are obtained.
Qiming Liu, Rui Xu
doaj +3 more sources
New conditions for stability of multiple delayed Cohen-Grossberg Neural Networks of neutral-type. [PDF]
PLoS ONEIn this research article, we essentially aim to examine the stability properties of a certain type of Cohen-Grossberg neural network. The analysed neural network involves multiple delay parameters.
Neyir Ozcan
doaj +2 more sources
Stability Analysis of Cohen-Grossberg Neural Networks With Multiple Time-Varying Delays
IEEE Access, 2022 By improving a previously introduced Lyapunov functional,this paper addressed the stability issue about neutral-type Cohen-Grossberg neural networks with multiple time-varying delays in the states of neurons and the time derivative of states of neurons ...
Binbin Gan, Biao Xu, Hao Chen
doaj +1 more source
Mathematics, 2023 This article is concerned with fixed-time synchronization and preassigned-time synchronization of Cohen–Grossberg quaternion-valued neural networks with discontinuous activation functions and generalized time-varying delays.
Shichao Jia, Cheng Hu, Haijun Jiang
doaj +1 more source
Stability Analysis of Neutral-Type Cohen-Grossberg Neural Networks With Multiple Time-Varying Delays
IEEE Access, 2020 This paper deals with the problem for stability of neutral-type Cohen-Grossberg neural networks involving delay parameters. In the neutral-type neural networks, the states of the neurons involve multiple time-varying delays and time derivative of states ...
Li Wan, Qinghua Zhou
doaj +1 more source
Impulsive Fractional Cohen-Grossberg Neural Networks: Almost Periodicity Analysis
Fractal and Fractional, 2021 In this paper, a fractional-order Cohen–Grossberg-type neural network with Caputo fractional derivatives is investigated. The notion of almost periodicity is adapted to the impulsive generalization of the model.
Ivanka Stamova +3 more
doaj +1 more source
The stability of Cohen–Grossberg neural networks with time dependent delays
Известия высших учебных заведений. Поволжский регион: Физико-математические науки, 2023 Background. The study is devoted to the analysis of stability in the sense Lyapunov Cohen-Grossberg neural networks with time-dependent delays. To do this, we study the stability of the steady-state solutions of systems of linear differential equations ...
Il'ya V. Boykov +2 more
doaj +1 more source
IEEE Access, 2021 This paper deals with the problem for exponential stability of a more general class of neutral-type Cohen-Grossberg neural networks. This class of neutral-type Cohen-Grossberg neural networks involves multiple time-varying delays in the states of neurons
Li Wan, Qinghua Zhou
doaj +1 more source
Stability analysis of impulsive stochastic Cohen–Grossberg neural networks with mixed time delays [PDF]
, 2008 This is the post print version of the article. The official published version can be obtained from the link - Copyright 2008 Elsevier LtdIn this paper, the problem of stability analysis for a class of impulsive stochastic Cohen–Grossberg neural networks ...
Arik +38 more
core +1 more source
Stability analysis for stochastic Cohen-Grossberg neural networks with mixed time delays [PDF]
, 2006 Copyright [2006] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Li, M, Liu, X, Liu, Y, Wang, Z
core +1 more source