点击次数：

论文类型：期刊论文

发表时间：2015-03-03

发表刊物：NEUROCOMPUTING

收录刊物：SCIE、EI

卷号：151

期号：P3

页面范围：1414-1422

ISSN号：0925-2312

关键字：Recurrent neural networks; Stability; Lyapunov-Krasovskii functional; Time-varying delays

摘要：This work is concerned with the delay-dependentstability problem for recurrent neural networks with time-varying delays. A new improved delay-dependent stability criterion expressed in terms of linear matrix inequalities is derived by constructing a dedicated Lyapunov-Krasovskii functional via utilizing Wirtinger inequality and convex combination approach. Moreover, a further improved delay-dependent stability criterion is established by means of a new partitioning method for bounding conditions on the activation function and certain new activation function conditions presented. Finally, the application of these novel results to an illustrative example from the literature has been investigated and their effectiveness is shown via comparison with the existing recent ones. (C) 2014 Elsevier B.V. All rights reserved.