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2014 Global Exponential Robust Stability of Static Interval Neural Networks with Time Delay in the Leakage Term
Guiying Chen, Linshan Wang
J. Appl. Math. 2014: 1-6 (2014). DOI: 10.1155/2014/972608

Abstract

The stability of a class of static interval neural networks with time delay in the leakage term is investigated. By using the method of M-matrix and the technique of delay differential inequality, we obtain some sufficient conditions ensuring the global exponential robust stability of the networks. The results in this paper extend the corresponding conclusions without leakage delay. An example is given to illustrate the effectiveness of the obtained results.

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Guiying Chen. Linshan Wang. "Global Exponential Robust Stability of Static Interval Neural Networks with Time Delay in the Leakage Term." J. Appl. Math. 2014 1 - 6, 2014. https://doi.org/10.1155/2014/972608

Information

Published: 2014
First available in Project Euclid: 26 March 2014

zbMATH: 07010811
MathSciNet: MR3166798
Digital Object Identifier: 10.1155/2014/972608

Rights: Copyright © 2014 Hindawi

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