Global asymptotic stability of switched neural networks with delays
type: Item
instance of: scholarly article
title: Global asymptotic stability of switched neural networks with delays
zbMATH Open document ID: 1394.92007
DOI: 10.1155/2015/717513
author: Zhenyu Lu
author: Kai Li
author: Yan Li
published in: Mathematical Problems in Engineering
publication date: 2018-08-27T00:00:00Z
review text: Summary: This paper investigates the global asymptotic stability of a class of switched neural networks with delays. Several new criteria ensuring global asymptotic stability in terms of linear matrix inequalities (LMIs) are obtained via Lyapunov-Krasovskii functional. And here, we adopt the quadratic convex approach, which is different from the linear and reciprocal convex combinations that are extensively used in recent literature. In addition, the proposed results here are very easy to be verified and complemented. Finally, a numerical example is provided to illustrate the effectiveness of the results.
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 34D23
Mathematics Subject Classification ID: 34K20
zbMATH DE Number: 6927073
zbMATH Keywords: matrix inequalities
zbMATH Keywords: Lyapunov-Krasovskii functional
Wikidata QID: Q59119025
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2015/717513
OpenAlex ID: W2217890408
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description: scientific article; zbMATH DE number 6927073