Global Mittag-Leffler synchronization of coupled delayed fractional reaction-diffusion Cohen-Grossberg neural networks via sliding mode control

被引：7
|
作者：
Kao, Yonggui [1 ]
Cao, Yue [1 ]
Chen, Xiangyong [2 ]
机构：
[1] Harbin Inst Technol, Dept Math, Weihai 264209, Peoples R China
[2] Linyi Univ, Sch Automat & Elect Engn, Linyi 276005, Peoples R China
来源：
CHAOS | 2022年 / 32卷 / 11期
基金：
中国国家自然科学基金;
关键词：
TIME SYNCHRONIZATION; STABILITY;
D O I：
10.1063/5.0102787
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This paper studies the sliding mode control method for coupled delayed fractional reaction-diffusion Cohen-Grossberg neural networks on a directed non-strongly connected topology. A novel fractional integral sliding mode surface and the corresponding control law are designed to realize global Mittag-Leffler synchronization. The sufficient conditions for synchronization and reachability of the sliding mode surface are derived via the hierarchical method and the Lyapunov method. Finally, simulations are provided to verify our theoretical findings.
引用
收藏
页数：10
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