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中文
Wang Zhelong

Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates


Academic Titles:Professor, Head of Lab of Intelligent System
Other Post:自动化技术研究所所长
Gender:Male
Alma Mater:University of Durham
Degree:Doctoral Degree
School/Department:School of Control Science and Engineering
Discipline:Control Theory and Control Engineering
Pattern Recognition and Intelligence System
Detection Technology and Automation Device
Business Address:Lab of Intelligent System
http://lis.dlut.edu.cn/

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An improved delay-range-dependent robust stability criterion for uncertain stochastic hopfield neural networks with mixed delays

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Indexed by:Journal Article

Date of Publication:2011-06-01

Journal:ICIC Express Letters, Part B: Applications

Included Journals:Scopus、EI

Volume:2

Issue:3

Page Number:735-741

ISSN:21852766

Abstract:This paper investigates the problem of robustly stable in the mean square for stochastic Hopfield neural networks (HNNs) with time-varying delays and uncertainties. The time-varying discrete delay is assumed to belong to an interval. By defining a new Lyapunov-Krasovskii functional (LKF) and employing the stochastic stability theory and some new analysis techniques, an improved delay-range-dependent stability criterion is established in terms of linear matrix inequalities (LMIs). Some novel techniques are utilized to reduce the conservativeness. Finally, two numerical examples are given to illustrate the effectiveness and the improvement of our results. ? 2011 ICIC International.