Stability Analysis of Anti-periodic Neutral Type SICNNs with D Operator

Stability Analysis of Anti-periodic Neutral Type SICNNs with D Operator In this paper, a class of neutral type shunting inhibitory cellular neural networks with D operator are considered. Several novel conditions which guarantee the existence and exponential stability of anti-periodic solutions for the considered models are established by using Lyapunov functional method and differential inequality techniques. Moreover, an example and its numerical simulations are given to show the effectiveness of the obtained results. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Neural Processing Letters Springer Journals

Stability Analysis of Anti-periodic Neutral Type SICNNs with D Operator

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Publisher
Springer Journals
Copyright
Copyright © 2017 by Springer Science+Business Media, LLC
Subject
Computer Science; Artificial Intelligence (incl. Robotics); Complex Systems; Computational Intelligence
ISSN
1370-4621
eISSN
1573-773X
D.O.I.
10.1007/s11063-017-9696-1
Publisher site
See Article on Publisher Site

Abstract

In this paper, a class of neutral type shunting inhibitory cellular neural networks with D operator are considered. Several novel conditions which guarantee the existence and exponential stability of anti-periodic solutions for the considered models are established by using Lyapunov functional method and differential inequality techniques. Moreover, an example and its numerical simulations are given to show the effectiveness of the obtained results.

Journal

Neural Processing LettersSpringer Journals

Published: Aug 30, 2017

References

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