Mean-square exponential stability of stochastic Hopfield neural networks with time-varying discrete and distributed delays

DOI10.1016/j.physleta.2009.04.031zbMath1229.92006OpenAlexW2011274300MaRDI QIDQ653176

Li Ma, Fei-Peng Da

Publication date: 6 January 2012

Published in: Physics Letters. A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physleta.2009.04.031

zbMATH Keywords

exponential stabilityneural networkslinear matrix inequalitystochastic systemstime-varying delay systems

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Dynamical systems in biology (37N25) Neural networks for/in biological studies, artificial life and related topics (92B20) Special processes (60K99) Qualitative investigation and simulation of models involving functional-differential equations (34K60)

Related Items (10)

Asymptotic behaviors of stochastic Cohen-Grossberg neural networks with mixed time-delays ⋮ New delay-dependent exponential stability criteria for neural networks with mixed time-varying delays ⋮ Robust stability analysis for fuzzy stochastic Hopfield neural networks with time–varying delays ⋮ Dynamical behaviors of the stochastic Hopfield neural networks with mixed time delays ⋮ Stability analysis of recurrent neural networks with random delay and Markovian switching ⋮ Robust exponential stability criteria for T-S fuzzy stochastic delayed neural networks of neutral type ⋮ Delay-dependent stochastic stability criteria for Markovian jumping neural networks with mode-dependent time-varying delays and partially known transition rates ⋮ Stochastic exponential synchronization of jumping chaotic neural networks with mixed delays ⋮ Mean square almost periodic solutions for impulsive stochastic differential equations with delays ⋮ Improved delay-dependent stability criteria for neural networks with discrete and distributed time-varying delays using a delay-partitioning approach

Cites Work

• Mean square exponential stability of uncertain stochastic delayed neural networks
• Robust stability results for uncertain stochastic neural networks with discrete interval and distributed time-varying delays
• Global robust exponential stability analysis for stochastic interval neural networks with time-varying delays
• Delay-dependent stability for uncertain cellular neural networks with discrete and distribute time-varying delays
• Exponential convergence estimates for neural networks with discrete and distributed delays
• Robust stability for stochastic Hopfield neural networks with time delays
• Exponential stability of stochastic delayed Hopfield neural networks
• A new criterion for exponential stability of uncertain stochastic neural networks with mixed delays
• Exponential stability of recurrent neural networks with time-varying discrete and distributed delays
• Delay-dependent robust \({\mathcal H}_\infty\) of uncertain linear state-delayed systems
• Stochastic stability of uncertain Hopfield neural networks with discrete and distributed delays
• On global stability criterion of neural networks with continuously distributed delays
• A delay-dependent asymptotic stability criterion of cellular neural networks with time-varying discrete and distributed delays
• An analysis of global robust stability of uncertain cellular neural networks with discrete and distributed delays
• Delay-dependent asymptotic stability for stochastic delayed recurrent neural networks with time varying delays
• Mean square exponential stability of stochastic recurrent neural networks with time-varying delays
• ANALYSIS ON GLOBAL STABILITY OF STOCHASTIC NEURAL NETWORKS OF NEUTRAL TYPE
• Global stability conditions for delayed CNNs
• Global asymptotic and robust stability of recurrent neural networks with time delays
• Stability of stochastic delay neural networks
• Hopfield neural networks for optimization: Study of the different dynamics

This page was built for publication: Mean-square exponential stability of stochastic Hopfield neural networks with time-varying discrete and distributed delays