Finite-time synchronization of competitive neural networks with mixed delays
type: Item
instance of: scholarly article
title: Finite-time synchronization of competitive neural networks with mixed delays
zbMATH Open document ID: 1357.34126
author: Tingting Su
author: Xinsong Yang
published in: Discrete and Continuous Dynamical Systems. Series B
publication date: 2016-12-21T00:00:00Z
review text: The authors consider a pair of competitive neural networks (CNNs) with bounded time-varying discrete and distributed delays. They create a control signal, which depends on the states of both networks, and add this to the dynamics of one of the networks (the slave), with the objective of synchronising (i.e.~making identical) the dynamics of the two networks in finite time. They give conditions under which this can occur, and also give an upper bound on the time to synchrony. The results are demonstrated with several numerical examples.
Mathematics Subject Classification ID: 34K35
Mathematics Subject Classification ID: 93C23
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 34K25
zbMATH DE Number: 6667604
zbMATH Keywords: finite-time synchronization
zbMATH Keywords: competitive neural networks
zbMATH Keywords: control
reviewed by: Carlo Laing
MaRDI profile type: Publication
full work available at URL: dcdsb.2016115
OpenAlex ID: W2552392213
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DOI: 10.3934/DCDSB.2016115
description: scientific article; zbMATH DE number 6667604