New results on passivity analysis for uncertain neural networks with time-varying delay
type: Item
instance of: scholarly article
title: New results on passivity analysis for uncertain neural networks with time-varying delay
zbMATH Open document ID: 1406.93241
DOI: 10.1155/2014/303575
author: Xueying Shao
author: Qing Lu
author: Hamid Reza Karimi
author: Jin Zhu
published in: Abstract and Applied Analysis
publication date: 2019-02-14T00:00:00Z
review text: Summary: The paper investigates the stability and passivity analysis problems for a class of uncertain neural networks with time-delay via delta operator approach. Both the parameter uncertainty and the generalized activation functions are considered in this paper. By constructing an appropriate Lyapunov-Krasovskii functional, some new stability and passivity conditions are obtained in terms of linear matrix inequalities (LMIs). The main characteristic of this paper is to obtain novel stability and passivity analysis criteria for uncertain neural networks with time-delay in the delta operator system framework. A numerical example is presented to demonstrate the effectiveness of the proposed results.
Mathematics Subject Classification ID: 93D05
Mathematics Subject Classification ID: 93C41
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 7022122
zbMATH Keywords: passivity
zbMATH Keywords: stability
zbMATH Keywords: uncertain neural networks
zbMATH Keywords: time-varying delay
Wikidata QID: Q59037939
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/303575
OpenAlex ID: W2124933540
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description: scientific article; zbMATH DE number 7022122