Globalμ-Stability Analysis for Impulsive Stochastic Neural Networks with Unbounded Mixed Delays-Reference-Cited by-同舟云学术

Globalμ-Stability Analysis for Impulsive Stochastic Neural Networks with Unbounded Mixed Delays

Published:2013 Issue: Volume:2013 Page:1-12
ISSN:1085-3375
Container-title:Abstract and Applied Analysis
language:en
Short-container-title:Abstract and Applied Analysis

Author:

Yin Lizi¹,Wang Xinchun²

Affiliation:

1. School of Mathematical Sciences, University of Jinan, Jinan 250022, China

2. Computer Department, Jinan Vocational College, Jinan 250103, China

Abstract

We investigate the globalμ-stability in the mean square of impulsive stochastic neural networks with unbounded time-varying delays and continuous distributed delays. By choosing an appropriate Lyapunov-Krasovskii functional, a novel robust stability condition, in the form of linear matrix inequalities, is derived. These sufficient conditions can be tested by MATLAB LMI software packages. The results extend and improve the earlier publication. Two numerical examples are provided to illustrate the effectiveness of the obtained theoretical results.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Applied Mathematics,Analysis

Link

http://downloads.hindawi.com/journals/aaa/2013/746241.pdf

Reference32 articles.

1. Computing with Neural Circuits: A Model

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4. Mean square exponential stability of stochastic recurrent neural networks with time-varying delays

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