A weak condition for global stability of delayed neural networks
type: Item
instance of: scholarly article
title: A weak condition for global stability of delayed neural networks
zbMATH Open document ID: 1322.93086
author: H. Xu
author: Wu-Sheng Wang
author: Jie Sun
author: Wei Xu
author: Ricai Luo
published in: Journal of Industrial and Management Optimization
publication date: 2015-10-22T00:00:00Z
Mathematics Subject Classification ID: 93D20
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 92B20
zbMATH DE Number: 6497450
zbMATH Keywords: asymptotical stability
zbMATH Keywords: exponential stability
zbMATH Keywords: negative semi-definite
zbMATH Keywords: time delays
zbMATH Keywords: neural networks
MaRDI profile type: Publication
full work available at URL: jimo.2016.12.505
OpenAlex ID: W2284713128
cites work: Exponential stability analysis and impulsive tracking control of uncertain time-delayed systems
cites work: On global asymptotic stability of a class of nonlinear systems arising in neural network theory
cites work: Necessary and sufficient condition for absolute stability of neural networks
cites work: New conditions for global stability of neural networks with application to linear and quadratic programming problems
cites work: Global asymptotic stability of differential equations in the plane
cites work: Stability in asymmetric Hopfield nets with transmission delays
cites work: Neurons with graded response have collective computational properties like those of two-state neurons.
cites work: On the stability of equilibrium for almost periodic systems
cites work: On a class of globally stable neural circuits
cites work: A new result on the global convergence of Hopfield neural networks
cites work: Q3275105
cites work: Q3993366
cites work: A learning method in Hopfield neural network for combinatorial optimization problem
cites work: Dynamical stability conditions for recurrent neural networks with unsaturating piecewise linear transfer functions
cites work: Symmetric functional differential equations and neural networks with memory
cites work: Patterns of sustained oscillations in neural networks with delayed interactions
cites work: Global exponential stability of impulsive discrete-time neural networks with time-varying delays
cites work: \(H_{\infty}\) optimal stabilization of a class of uncertain impulsive systems: An LMI approach
cites work: The Schur complement and its applications
cites work: A weak condition of globally asymptotic stability for neural networks
DOI: 10.3934/JIMO.2016.12.505
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description: scientific article; zbMATH DE number 6497450