A New Globally Exponential Stability Criterion for Neural Networks with Discrete and Distributed Delays-Reference-Cited by-同舟云学术

A New Globally Exponential Stability Criterion for Neural Networks with Discrete and Distributed Delays

Published:2015 Issue: Volume:2015 Page:1-9
ISSN:1024-123X
Container-title:Mathematical Problems in Engineering
language:en
Short-container-title:Mathematical Problems in Engineering

Author:

Chen Hao¹²,Zhong Shouming¹,Yang Jinxiang¹

Affiliation:

1. School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China

2. School of Mathematical Science, Huaibei Normal University, Huaibei, Anhui 235000, China

Abstract

This paper concerns the problem of the globally exponential stability of neural networks with discrete and distributed delays. A novel criterion for the globally exponential stability of neural networks is derived by employing the Lyapunov stability theory, homomorphic mapping theory, and matrix theory. The proposed result improves the previously reported global stability results. Finally, two illustrative numerical examples are given to show the effectiveness of our results.

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Link

http://downloads.hindawi.com/journals/mpe/2015/807150.pdf

Reference24 articles.

1. Novel delay-dependent robust stability criteria for neutral systems with mixed time-varying delays and nonlinear perturbations

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