Synchronization of a class of memristive stochastic bidirectional associative memory neural networks with mixed time-varying delays via sampled-data control
type: Item
instance of: scholarly article
title: Synchronization of a class of memristive stochastic bidirectional associative memory neural networks with mixed time-varying delays via sampled-data control
zbMATH Open document ID: 1427.93033
DOI: 10.1155/2018/9126183
author: Manman Yuan
author: Weiping Wang
author: Xiong Luo
author: Chao Ge
author: Lixiang Li
author: Wenbing Zhao
author: J. Kurths
published in: Mathematical Problems in Engineering
publication date: 2019-02-08T00:00:00Z
review text: Summary: The paper addresses the issue of synchronization of memristive bidirectional associative memory neural networks (MBAMNNs) with mixed time-varying delays and stochastic perturbation via a sampled-data controller. First, we propose a new model of MBAMNNs with mixed time-varying delays. In the proposed approach, the mixed delays include time-varying distributed delays and discrete delays. Second, we design a new method of sampled-data control for the stochastic MBAMNNs. Traditional control methods lack the capability of reflecting variable synaptic weights. In this paper, the methods are carefully designed to confirm the synchronization processes are suitable for the feather of the memristor. Third, sufficient criteria guaranteeing the synchronization of the systems are derived based on the derive-response concept. Finally, the effectiveness of the proposed mechanism is validated with numerical experiments.
Mathematics Subject Classification ID: 93A14
Mathematics Subject Classification ID: 93C57
Mathematics Subject Classification ID: 93E15
Mathematics Subject Classification ID: 94C30
zbMATH DE Number: 7019705
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2018/9126183
OpenAlex ID: W2800251808
cites work: Towards enhancing stacked extreme learning machine with sparse autoencoder by correntropy
cites work: Global exponential almost periodicity of a delayed memristor-based neural networks
cites work: Exponential antisynchronization control of stochastic memristive neural networks with mixed time-varying delays based on novel delay-dependent or delay-independent adaptive controller
cites work: Exponential synchronization of delayed memristor-based chaotic neural networks via periodically intermittent control
cites work: Synchronization of memristor-based recurrent neural networks with two delay components based on second-order reciprocally convex approach
cites work: On the periodic dynamics of memristor-based neural networks with time-varying delays
cites work: Finite-time synchronization control of a class of memristor-based recurrent neural networks
cites work: Synchronization for delayed memristive BAM neural networks using impulsive control with random nonlinearities
cites work: Reliable anti-synchronization conditions for BAM memristive neural networks with different memductance functions
cites work: Non-fragile synchronization of memristive BAM networks with random feedback gain fluctuations
cites work: Improved stabilization criteria for fuzzy systems under variable sampling
cites work: Exponential synchronization of a class of neural networks with sampled-data control
cites work: Finite-time projective synchronization of memristor-based delay fractional-order neural networks
cites work: Synchronization of memristive BAM neural networks with leakage delay and additive time-varying delay components via sampled-data control
cites work: Functional differential inclusions and dynamic behaviors for memristor-based BAM neural networks with time-varying delays
Wikidata QID: Q129969094
description: scientific article; zbMATH DE number 7019705