Delay dependent stability criteria for recurrent neural networks with time varying delays
Zhanshan WANG
Huaguang ZHANG
摘要：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.
机标关键词：timerecurrent neural networksresultsglobal asymptotic stabilityeffectivenessdelaycomparisonform of
资助基金：the National Natural Science Foundation of China(60534010)the National Natural Science Foundation of China(60572070)the National Natural Science Foundation of China(60728307)the National Natural Science Foundation of China(60774048)the National Natural Science Foundation of China(60774093)the Program for Cheung Kong Scholars and Innovative Research Groups of China(60521003)the National High Technology Research and Development Program of China(2006AA04Z183)the Postdoctor Foundation of Northeastern University(20080314)the Natural Science Foundation of Liaoning Province(20072025)China Postdoctoral Science Foundation(20080431150)
论文发表日期：2009-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：5( 9-13 )
英文信息