Robust stability analysis of neutral-type hybrid bidirectional associative memory neural networks with time-varying delays
type: Item
instance of: scholarly article
title: Robust stability analysis of neutral-type hybrid bidirectional associative memory neural networks with time-varying delays
zbMATH Open document ID: 1474.34493
DOI: 10.1155/2014/560861
author: Wei Feng
author: Simon X. Yang
author: Haixia Wu
published in: Abstract and Applied Analysis
publication date: 2019-02-14T00:00:00Z
review text: Summary: The global asymptotic robust stability of equilibrium is considered for neutral-type hybrid bidirectional associative memory neural networks with time-varying delays and parameters uncertainties. The results we obtained in this paper are delay-derivative-dependent and establish various relationships between the network parameters only. Therefore, the results of this paper are applicable to a larger class of neural networks and can be easily verified when compared with the previously reported literature results. Two numerical examples are illustrated to verify our results.
Mathematics Subject Classification ID: 34K20
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 93D09
zbMATH DE Number: 7022609
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/560861
OpenAlex ID: W2157677239
Wikidata QID: Q59039423
cites work: Q4211561
cites work: LMI criteria on exponential stability of BAM neural networks with both time-varying delays and general activation functions
cites work: Existence and global exponential stability of a periodic solution for a discrete-time interval general BAM neural networks
cites work: Stability analysis of Takagi-Sugeno fuzzy Cohen-Grossberg BAM neural networks with discrete and distributed time-varying delays
cites work: Stability of Bidirectional Associative Memory networks with impulses
cites work: Global exponential stability of BAM neural networks with time-varying delays: the discrete-time case
cites work: Existence and global exponential stability of a periodic solution to interval general bidirectional associative memory (BAM) neural networks with multiple delays on time scales
cites work: Exponential stability for stochastic reaction-diffusion BAM neural networks with time-varying and distributed delays
cites work: Multistability and multiperiodicity of delayed bidirectional associative memory neural networks with discontinuous activation functions
cites work: Global exponential stability for BAM neural networks with time-varying delays in the leakage terms
cites work: Existence and global exponential stability of periodic solution for high-order discrete-time BAM neural networks
cites work: Dynamics of bidirectional associative memory networks with distributed delays and reaction-diffusion terms
cites work: Global robust exponential stability of discrete-time interval BAM neural networks with time-varying delays
cites work: New results for global robust stability of bidirectional associative memory neural networks with multiple time delays
cites work: Novel global robust exponential stability criterion for uncertain BAM neural networks with time-varying delays
cites work: Global robust asymptotic stability analysis of BAM neural networks with time delay and impulse: an LMI approach
cites work: New robust stability results for bidirectional associative memory neural networks with multiple time delays
cites work: LMI-based criteria for global robust stability of bidirectional associative memory networks with time delay
cites work: Q3633618
cites work: Global asymptotic stability to a generalized Cohen-Grossberg BAM neural networks of neutral type delays
cites work: A new stability criterion for bidirectional associative memory neural networks of neutral-type
cites work: A new sufficient condition for global robust stability of bidirectional associative memory neural networks with multiple time delays
cites work: A new upper bound for the norm of interval matrices with application to robust stability analysis of delayed neural networks
cites work: Global robust stability of delayed recurrent neural networks
cites work: Global robust stability of delayed neural networks: estimating upper limit of norm of delayed connection weight matrix
description: scientific article; zbMATH DE number 7022609