Global synchronization of fractional-order quaternion-valued neural networks with leakage and discrete delays

被引:88
|
作者
Li, Hong-Li [1 ,2 ]
Jiang, Haijun [1 ]
Cao, Jinde [2 ]
机构
[1] Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Peoples R China
[2] Southeast Univ, Sch Math, Nanjing 210096, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Global synchronization; Fractional-order; Quaternion-valued neural networks; Leakage and discrete delays; ROBUST STABILITY ANALYSIS;
D O I
10.1016/j.neucom.2019.12.018
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, without transforming the quaternion-valued neural networks into two equivalent complex-valued systems or four equivalent real-valued systems, a novel class of fractional-order quaternion-valued neural networks with leakage and discrete delays is investigated. To this end, two novel inequalities are established with the aid of properties of quaternion and Caputo fractional derivative. By exploiting Lyapunov method, our established inequalities, fractional-order Razumikhin theorem and some analysis techniques, some criteria ensuring the global asymptotical synchronization and the global Mittag-Leffler synchronization of the considered networks are obtained through designing suitable controllers. Finally, two numerical examples are utilized to show the derived theoretical results. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:211 / 219
页数:9
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