Boundedness and stability for discrete-time delayed neural network with complex-valued linear threshold neurons
type: Item
instance of: scholarly article
title: Boundedness and stability for discrete-time delayed neural network with complex-valued linear threshold neurons
zbMATH Open document ID: 1200.39006
DOI: 10.1155/2010/368379
author: Chengjun Duan
author: Qiankun Song
published in: Discrete Dynamics in Nature and Society
publication date: 2010-09-29T00:00:00Z
full work available at URL: https://eudml.org/doc/225860
review text: Summary: Discrete-time delayed neural network with complex-valued linear threshold neurons is considered. By constructing appropriate Lyapunov-Krasovskii functionals and employing a linear matrix inequality technique and analysis method, several new delay-dependent criteria for checking the boundedness and global exponential stability are established. Illustrating examples are also given to show the effectiveness and less conservatism of the proposed criteria.
Mathematics Subject Classification ID: 39A30
Mathematics Subject Classification ID: 93C55
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 93D05
Mathematics Subject Classification ID: 39A22
zbMATH DE Number: 5793488
zbMATH Keywords: discrete-time delayed neural network
zbMATH Keywords: complex-valued linear threshold neurons
zbMATH Keywords: Lyapunov-Krasovskii functionals
zbMATH Keywords: boundedness
zbMATH Keywords: global exponential stability
Wikidata QID: Q58650783
MaRDI profile type: Publication
OpenAlex ID: W1967928782
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description: scientific article; zbMATH DE number 5793488