Further Improvement on Delay-Dependent Global Robust Exponential Stability for Delayed Cellular Neural Networks with Time-Varying Delays

Further Improvement on Delay-Dependent Global Robust Exponential Stability for Delayed Cellular... This paper is concerned with global robust exponential stability for a class of delayed cellular neural networks with time-varying delays. Some new sufficient conditions are presented for the uniqueness of equilibrium point and the global stability of cellular neural networks with time varying delay by constructing Lyapunov functional and using linear matrix inequality and the integral inequality approach. Numerical examples are illustrated to show the effectiveness of the proposed method. From the simulation results, significant improvement over the recent results can be observed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Neural Processing Letters Springer Journals

Further Improvement on Delay-Dependent Global Robust Exponential Stability for Delayed Cellular Neural Networks with Time-Varying Delays

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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/s11063-017-9683-6
Publisher site
See Article on Publisher Site

Abstract

This paper is concerned with global robust exponential stability for a class of delayed cellular neural networks with time-varying delays. Some new sufficient conditions are presented for the uniqueness of equilibrium point and the global stability of cellular neural networks with time varying delay by constructing Lyapunov functional and using linear matrix inequality and the integral inequality approach. Numerical examples are illustrated to show the effectiveness of the proposed method. From the simulation results, significant improvement over the recent results can be observed.

Journal

Neural Processing LettersSpringer Journals

Published: Aug 16, 2017

References

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