Synchronization Criteria for Delayed Fractional-Order Neural Networks via Linear Feedback Control

被引：0
作者：
Fan, Yingjie [1 ]
Huang, Xia [1 ]
Wang, Xiaohong [2 ]
Yao, Lan [2 ]
机构：
[1] Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao, Peoples R China
[2] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao, Peoples R China
来源：
2019 CHINESE AUTOMATION CONGRESS (CAC2019) | 2019年
基金：
中国国家自然科学基金;
关键词：
fractional-order neural networks; synchronization; time delay; linear feedback; PROJECTIVE SYNCHRONIZATION; STABILITY;
D O I：
10.1109/cac48633.2019.8996178
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 synchronization problem is addressed for delayed fractional-order neural networks (FNNs). First, a simple linear feedback controller is constructed, which is easy to be implemented in practical application. Then, by using appropriate fractional-order Lyapunov functions, fractional Halanay inequality and inequality techniques, two novel synchronization criteria are established, respectively. Numerical examples are finally offered to display the effectiveness of the developed methods.
引用
收藏
页码：4280 / 4284
页数：5
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