New exponential passivity and stabilization for neural networks with time delays

被引：0
|
作者：
Xiao, Jianying [1 ]
Zhong, Shouming [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Math Sci, Chengdu, Sichuan, Peoples R China
来源：
2017 NINTH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC 2017), VOL 2 | 2017年
关键词：
Lyapunov-Razumikhin; Exponential passivity; Exponential stabilization;
D O I：
10.1109/IHMSC.2017.211
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper investigates new exponential passivity and stabilization for neural networks with time delays. By mainly applying Lyapunov-Razumikhin method, a feedback control law is obtained in the simple form of linear matrix inequality (LMI) to ensure exponential passivity and stabilization of neural networks.
引用
收藏
页码：443 / 446
页数：4
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