Master-slave synchronisation criteria of chaotic neural networks systems with time delay feedback control

被引：3
|
作者：
Yan, Cuiying [1 ]
Li, Yang [2 ]
Zhang, Jianhua [3 ]
Hou, Jiaqi [3 ]
机构：
[1] Hebei Univ Sci & Technol, Shijiazhuang 050018, Peoples R China
[2] Hebei Univ Sci & Technol, Inst Informat Sci & Engn, Shijiazhuang 050018, Peoples R China
[3] Hebei Univ Sci & Technol, Inst Elect Engn, 26 Yuxiang St, Shijiazhuang 050018, Peoples R China
来源：
INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL | 2015年 / 24卷 / 02期
关键词：
time delay; chaotic neural networks; synchronisation;
D O I：
10.1504/IJMIC.2015.071892
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 synchronisation problem of chaotic neural networks is discussed. Based on the stability theory of dynamic system, the controller is presented to achieve chaos synchronisation. The effect of the time delay in the feedback control on master-slave synchronisation is considered for chaotic neural networks. The controller gain can be achieved based on criteria of delay dependent synchronisation which in form of linear matrix inequalities (LMIs), and achieved by solving a set of LMIs using MATLAB LMI tool box. Two simulation examples are provided to illustrate the effectiveness of the proposed scheme.
引用
收藏
页码：149 / 155
页数：7
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