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Neural Processing Letters

Erschienen in:

01.06.2015

New Results on Exponential Convergence for Cellular Neural Networks with Continuously Distributed Leakage Delays

verfasst von: Aiping Zhang

Erschienen in: Neural Processing Letters | Ausgabe 3/2015

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Abstract

This paper discusses the issue of a class of cellular neural networks with continuously distributed delays in the leakage terms. By applying Lyapunov functional method and differential inequality techniques, without assuming the boundedness conditions on the activation functions, a new delay dependent sufficient condition is derived to ensure that all solutions of the networks converge exponentially to the zero point, which corrects some recent results of Xiong and Meng (Electron J Qual Theory Differ Equ, (10):1–12, 2013. http://www.math.u-szeged.hu/ejqtde/).

Vorheriger Artikel Exponential Generalized Filtering of Delayed Static Neural Networks

Nächster Artikel Complete Stability Analysis of Complex-Valued Neural Networks with Time Delays and Impulses

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Titel: New Results on Exponential Convergence for Cellular Neural Networks with Continuously Distributed Leakage Delays
verfasst von: Aiping Zhang
Publikationsdatum: 01.06.2015
Verlag: Springer US
Erschienen in: Neural Processing Letters / Ausgabe 3/2015
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI: https://doi.org/10.1007/s11063-014-9348-7

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