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Neural Processing Letters

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14-02-2017

Exponential Stability of Weighted Pseudo Almost Periodic Solutions for HCNNs with Mixed Delays

Author: Yanli Xu

Published in: Neural Processing Letters | Issue 2/2017

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Abstract

This paper deals with a class of high-order cellular neural networks with mixed delays. By using fixed point theorem and differential inequality technique, several sufficient conditions for the existence and exponential stability of weighted pseudo almost periodic solutions for the addressed model are established. Moreover, an example with its numerical simulation is given to demonstrate the effectiveness and improvements of the proposed results.

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Title: Exponential Stability of Weighted Pseudo Almost Periodic Solutions for HCNNs with Mixed Delays
Author: Yanli Xu
Publication date: 14-02-2017
Publisher: Springer US
Published in: Neural Processing Letters / Issue 2/2017
Print ISSN: 1370-4621
Electronic ISSN: 1573-773X
DOI: https://doi.org/10.1007/s11063-017-9595-5

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