Synchronization of chaotic delayed neural networks via impulsive control
type: Item
instance of: scholarly article
title: Synchronization of chaotic delayed neural networks via impulsive control
zbMATH Open document ID: 1406.34080
DOI: 10.1155/2014/305264
author: Yang Fang
author: Kang Yan
author: Ke-Lin Li
published in: Journal of Applied Mathematics
publication date: 2019-02-01T00:00:00Z
review text: Summary: This paper is concerned with the impulsive synchronization problem of chaotic delayed neural networks. By employing Lyapunov stability theorem, impulsive control theory and linear matrix inequality (LMI) technique, several new sufficient conditions ensuring the asymptotically synchronization for coupled chaotic delayed neural networks are derived. Based on these new sufficient conditions, an impulsive controller is designed. Moreover, the stable impulsive interval of synchronized neural networks is objectively estimated by combining the MATLAB LMI toolbox and one of the two given equations. Two examples with numerical simulations are given to illustrate the effectiveness of the proposed method.
Mathematics Subject Classification ID: 34D06
Mathematics Subject Classification ID: 34C60
Mathematics Subject Classification ID: 34K45
Mathematics Subject Classification ID: 34C28
Mathematics Subject Classification ID: 34H05
Mathematics Subject Classification ID: 92B20
zbMATH DE Number: 7010594
Wikidata QID: Q59050813
describes a project that uses: LMI toolbox
describes a project that uses: Matlab
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/305264
OpenAlex ID: W2056700172
DBLP publication ID: journals/jam/FangYL14
description: scientific article; zbMATH DE number 7010594