Delay-Dependent Stability Analysis for Recurrent Neural Networks with Time-Varying Delays. (15th October 2012)

• Record Type: Journal Article
• Authors: Lv, Shu; Tian, Junkang; Zhong, Shouming
• Other Names: Shu Zhan Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2012(2012)
• Publication Date: 2012-10-15
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2012/910140
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : This paper concerns the problem of delay-dependent stability criteria for recurrent neural networks with time varying delays. By taking more information of states and activation functions as augmented vectors, a new class of the Lyapunov functional is proposed. Then, some less conservative stability criteria are obtained in terms of linear matrix inequalities (LMIs). Finally, two numerical examples are given to illustrate the effectiveness of the proposed method.