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论文类型：期刊论文

发表时间：2011-06-01

发表刊物：ICIC Express Letters, Part B: Applications

收录刊物：EI、Scopus

卷号：2

期号：3

页面范围：735-741

ISSN号：21852766

摘要：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.