Results 31 to 40 of about 4,331 (178)

Mean Square Exponential Stability of Stochastic Cohen-Grossberg Neural Networks with Unbounded Distributed Delays

open access: yesDiscrete Dynamics in Nature and Society, 2010
This paper addresses the issue of mean square exponential stability of stochastic Cohen-Grossberg neural networks (SCGNN), whose state variables are described by stochastic nonlinear integrodifferential equations.
Chuangxia Huang, Lehua Huang, Yigang He
doaj   +1 more source

Mittag-Leffler stability analysis of fractional-order fuzzy Cohen-Grossberg neural networks with deviating argument

open access: yesAdvances in Difference Equations, 2017
This paper is concerned with the Mittag-Leffler stability of fractional-order fuzzy Cohen-Grossberg neural networks with deviating argument. Applying the Lyapunov method, the generalized Gronwall-Bellman inequality, and the theory of fractional-order ...
Liguang Wan, Ailong Wu
doaj   +1 more source

Asymptotical Mean Square Stability of Cohen-Grossberg Neural Networks with Random Delay

open access: yesJournal of Inequalities and Applications, 2010
The asymptotical mean-square stability analysis problem is considered for a class of Cohen-Grossberg neural networks (CGNNs) with random delay. The evolution of the delay is modeled by a continuous-time homogeneous Markov process with a finite number of ...
Enwen Zhu, Hanjun Zhang, Jiezhong Zou
doaj   +2 more sources

Periodic Oscillation of Fuzzy Cohen-Grossberg Neural Networks with Distributed Delay and Variable Coefficients

open access: yesJournal of Applied Mathematics, 2008
A class of fuzzy Cohen-Grossberg neural networks with distributed delay and variable coefficients is discussed. It is neither employing coincidence degree theory nor constructing Lyapunov functionals, instead, by applying matrix theory and inequality ...
Hongjun Xiang, Jinde Cao
doaj   +1 more source

Multistability and Multiperiodicity for a General Class of Delayed Cohen-Grossberg Neural Networks with Discontinuous Activation Functions

open access: yesDiscrete Dynamics in Nature and Society, 2013
A general class of Cohen-Grossberg neural networks with time-varying delays, distributed delays, and discontinuous activation functions is investigated.
Yanke Du, Yanlu Li, Rui Xu
doaj   +1 more source

Attractor and Boundedness of Switched Stochastic Cohen-Grossberg Neural Networks

open access: yesDiscrete Dynamics in Nature and Society, 2016
We address the problem of stochastic attractor and boundedness of a class of switched Cohen-Grossberg neural networks (CGNN) with discrete and infinitely distributed delays.
Chuangxia Huang, Jie Cao, Peng Wang
doaj   +1 more source

Impulsive control of a class of multiple unstable neural networks

open access: yesJournal of Inequalities and Applications, 2021
This paper addresses the issue of stability of a class of multiple unstable Cohen–Grossberg neural networks(CGNNs) under impulsive control. Some novel sufficient conditions are given to make the unstable equilibrium points of the model locally μ-stable ...
Songfang Jia, Yanheng Chen
doaj   +1 more source

Exponential Synchronization of Cohen-Grossberg Neural Networks With Delays

open access: yesIEEE Access, 2023
This article analyzes exponential synchronization for a class of Cohen-Grossberg neural networks with time-varying delays. Firstly, according to the concept of synchronization, a controlled response system is constructed, and the error system is obtained.
Juncao Huang, Xuemei Wu, Zhengwen Tu
doaj   +1 more source

Restrictions and Stability of Time-Delayed Dynamical Networks

open access: yes, 2012
This paper deals with the global stability of time-delayed dynamical networks. We show that for a time-delayed dynamical network with non-distributed delays the network and the corresponding non-delayed network are both either globally stable or unstable.
Afraimovich V   +12 more
core   +1 more source

Global exponential convergence of delayed inertial Cohen–Grossberg neural networks

open access: yesNonlinear Analysis, 2023
In this paper, the exponential convergence of delayed inertial Cohen–Grossberg neural networks (CGNNs) is studied. Two methods are adopted to discuss the inertial CGNNs, one is expressed as two first-order differential equations by selecting a variable ...
Yanqiu Wu   +4 more
doaj   +1 more source

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