Exponential stability for the neutral-type singular neural network with time-varying delays

被引：0
|
作者：
Yuechao Ma
Nannan Ma
Lin Chen
Yuqing Zheng
Yu Han
机构：
[1] Yanshan University,College of Science
[2] Southwest Petroleum University,College of Science
[3] Tianjin University,College of Electrical Engineering
来源：
International Journal of Machine Learning and Cybernetics | 2019年 / 10卷
关键词：
Neutral type descriptor system; Neural network; Exponential stability; Linear matrix inequality;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper deals with the problem of global exponential stability for neutral type singular networks with time-varying delays. Delay-dependent criterion is proposed to guarantee the exponential stability of neutral type singular networks via linear matrix inequality (LMI) approach. Improved global exponential stability condition is derived by employing a new Lyapunov–Krasovskii functional and a rarely integral inequality. The developed result is less conservative than previous published ones in the literature, which is illustrated by representative numerical examples.
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页码：853 / 858
页数：5
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