Global Exponential Stability for Uncertain Dynamic Neural Networks with Discrete and Distributed Time-varying Delays

被引：0
|
作者：
Wu, Liang [1 ]
Ma, Baolin [1 ]
Cheng, Jianfeng [2 ]
Yin, Jingben [1 ]
机构：
[1] Henan Inst Sci & Technol, Dept Math, Henan Xinxiang 453003, Peoples R China
[2] Henan Inst Sci & Technol, Dept Foreign Languages, Henan Xinxiang 453003, Peoples R China
来源：
2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5 | 2010年
关键词：
Uncertain; Distributed; Discrete; Lyapunov Functional; LMI; Global Exponential Stability;
D O I：
10.1109/CCDC.2010.5498172
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the global exponential stability was discussed for the uncertain dynamic neural networks with discrete and distributed time-varying delays. The parameter uncertainties are assumed to be norm bounded. Then based on Lyapunov-Krasovskii functional stability analysis and linear matrix inequality (LMI) approach, a new sufficient condition is derived to assure the global exponential stability of the equilibrium, which generalizes the previous results in literature less conservatively.
引用
收藏
页码：1273 / +
页数：2
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