Finite-time synchronization of memristor-based neural networks

被引：0
|
作者：
Bao, Haibo [1 ,2 ]
Park, Ju H. [2 ]
机构：
[1] Southwest Univ, Sch Math, Chongqing 400715, Peoples R China
[2] Yeungnam Univ, Dept Elect Engn, Nonlinear Dynam Grp, 280 Daehak Ro, Kyongsan 712749, South Korea
来源：
2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2015年
关键词：
Finite-time synchronization; drive-response systems; memristor; Filippov's solution; nonlinear control; VARYING DELAYS; ELEMENT;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper investigates finite-time synchronization of memristor-based neural networks. The purpose of the addressed problem is to design a suitable controller to realize the finite-time synchronization between the drive and response systems. Unlike the previous works, such finite-time synchronization will be realized for memristor-based neural networks which are with discontinuous right-hand side. Based on finite-time stability theory and nonsmooth analysis in mathematics, sufficient conditions are derived to ensure the finite time synchronization of memristor-based neural networks. An example is used to demonstrate the correctness of the main results.
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页码：1732 / 1735
页数：4
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