摘要: |
|
关键词: |
DOI: |
Received:June 18, 2007Revised:May 22, 2008 |
基金项目: |
|
Delay dependent stability criteria for recurrent neural networks with time varying delays |
Zhanshan WANG, Huaguang ZHANG |
(School of Information Science and Engineering, Northeastern University, Shenyang Liaoning 110004, China) |
Abstract: |
This paper aims to present some delay-dependent global asymptotic stability criteria for recurrent neural networks with time varying delays. The obtained results have no restriction on the magnitude of derivative of time varying delay, and can be easily checked due to the form of linear matrix inequality. By comparison with some previous results, the obtained results are less conservative. A numerical example is utilized to demonstrate the effectiveness of the obtained results. |
Key words: Recurrent neural networks Stability Time varying delay Linear matrix inequality |