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Neural Processing Letters

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01-06-2015

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

Author: Aiping Zhang

Published in: Neural Processing Letters | Issue 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/).

previous article Exponential Generalized Filtering of Delayed Static Neural Networks

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Title: New Results on Exponential Convergence for Cellular Neural Networks with Continuously Distributed Leakage Delays
Author: Aiping Zhang
Publication date: 01-06-2015
Publisher: Springer US
Published in: Neural Processing Letters / Issue 3/2015
Print ISSN: 1370-4621
Electronic ISSN: 1573-773X
DOI: https://doi.org/10.1007/s11063-014-9348-7

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