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International Journal of Machine Learning and Cybernetics

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17-02-2017 | Original Article

Global exponential stability of anti-periodic solutions for neutral type CNNs with D operator

Author: Zhibin Chen

Published in: International Journal of Machine Learning and Cybernetics | Issue 7/2018

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Abstract

This paper is concerned with the anti-periodic solution problem for a class of neutral type cellular neural networks with D operator. By using the Banach fixed point theorem and applying inequality techniques, some new sufficient conditions are established to ensure the existence and exponential stability of the unique anti-periodic solution for the proposed neural networks. Finally, an example with its numerical simulation is provided to show the correctness of our study.

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Title: Global exponential stability of anti-periodic solutions for neutral type CNNs with D operator
Author: Zhibin Chen
Publication date: 17-02-2017
Publisher: Springer Berlin Heidelberg
Published in: International Journal of Machine Learning and Cybernetics / Issue 7/2018
Print ISSN: 1868-8071
Electronic ISSN: 1868-808X
DOI: https://doi.org/10.1007/s13042-016-0633-9

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