Delay-dependent stability criterion of delayed recurrent neural networks via LMI approach

Authors:
Weiping Bi;Yonghua Zhao;Xuegang Mu;Junfeng Zhang
Affiliations:
College of Mathematics and Information Science, Henan Normal University, Xinxiang, P. R. China;College of Mathematics and Information Science, Henan Normal University, Xinxiang, P. R. China;College of Mathematics and Information Science, Henan Normal University, Xinxiang, P. R. China;College of Mathematics and Information Science, Henan Normal University, Xinxiang, P. R. China
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Year:
2009

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Abstract

In this paper, we consider the problem of the stability for a delayed recurrent neural networks. The delay-dependent criterion is presented in terms of linear matrix inequalitiy (LMI). Numerical examples are given to show that our result is less conservative than the existing result.