New Results on Passivity for Discrete-Time Stochastic Neural Networks with Time-Varying Delays-Reference-Cited by-同舟云学术

New Results on Passivity for Discrete-Time Stochastic Neural Networks with Time-Varying Delays

Published:2015 Issue: Volume:2015 Page:1-10
ISSN:1024-123X
Container-title:Mathematical Problems in Engineering
language:en
Short-container-title:Mathematical Problems in Engineering

Author:

Kang Wei¹²,Cheng Jun³^ORCID,Cheng Xiangyang⁴

Affiliation:

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

2. School of Information Engineering, Fuyang Teachers College, Fuyang 236041, China

3. School of Electrical and Information Technology, Yunnan Minzu University, Kunming 650500, China

4. School of Business, Fuyang Teachers College, Fuyang 236041, China

Abstract

The problem of passivity analysis for discrete-time stochastic neural networks with time-varying delays is investigated in this paper. New delay-dependent passivity conditions are obtained in terms of linear matrix inequalities. Less conservative conditions are obtained by using integral inequalities to aid in the achievement of criteria ensuring the positiveness of the Lyapunov-Krasovskii functional. At last, numerical examples are given to show the effectiveness of the proposed method.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Link

http://downloads.hindawi.com/journals/mpe/2015/341839.pdf

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