New delay-dependent stability criteria for neural networks with time-varying delay

被引：396
|
作者：
He, Yong [1 ]
Liu, Guoping
Rees, D.
机构：
[1] Univ Glamorgan, Fac Adv Technol, Pontypridd CF37 1DL, M Glam, Wales
[2] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Peoples R China
[3] Chinese Acad Sci, CSIS Lab, Inst Automat, Beijing 100080, Peoples R China
来源：
IEEE TRANSACTIONS ON NEURAL NETWORKS | 2007年 / 18卷 / 01期
关键词：
delay-dependent; neural networks (NNs); time-varying delay; linear matrix inequality (LMI); stability;
D O I：
10.1109/TNN.2006.888373
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this letter, a new method is proposed for stability analysis of neural networks (NNs) with a time-varying delay. Some less conservative delay-dependent stability criteria are established by considering the additional useful terms, which were ignored in previous methods, when estimating the upper bound of the derivative of Lyapunov functionals and introducing the new free-weighting matrices. Numerical examples are given to demonstrate the effectiveness and the benefits of the proposed method.
引用
收藏
页码：310 / 314
页数：5
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