Extended LaSalle's invariance principle for full-range cellular neural networks
type: Item
instance of: scholarly article
title: Extended LaSalle's invariance principle for full-range cellular neural networks
zbMATH Open document ID: 1184.94151
DOI: 10.1155/2009/730968
author: M. Di Marco
author: Mauro Forti
author: Massimo Grazzini
author: Luca Pancioni
published in: EURASIP Journal on Advances in Signal Processing
publication date: 2010-04-24T00:00:00Z
Mathematics Subject Classification ID: 94A12
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 34A60
zbMATH DE Number: 5701126
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2009/730968
OpenAlex ID: W2146737639
Wikidata QID: Q59248914
cites work: Current-mode techniques for the implementation of continuous- and discrete-time cellular neural networks
cites work: Cellular neural networks: theory
cites work: Dynamical Analysis of Full-Range Cellular Neural Networks by Exploiting Differential Variational Inequalities
cites work: Comparison between the dynamic behaviour of Chua-Yang and full-range cellular neural networks
cites work: Lyapunov stability theory of nonsmooth systems
cites work: Stability and Stabilization of Discontinuous Systems and Nonsmooth Lyapunov Functions
DBLP publication ID: journals/ejasp/MarcoFGP09
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description: scientific article; zbMATH DE number 5701126