Synchronization of delayed fractional-order complex-valued neural networks with leakage delay

被引：28
作者：
Zhang, Weiwei [1 ,2 ]
Zhang, Hai [1 ]
Cao, Jinde [2 ]
Zhang, Hongmei [1 ]
Chen, Dingyuan [1 ]
机构：
[1] Anqing Normal Univ, Sch Math & Computat Sci, Anqing 246133, Peoples R China
[2] Southeast Univ, Sch Math, Nanjing 210096, Peoples R China
来源：
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2020年 / 556卷
基金：
中国国家自然科学基金;
关键词：
Synchronization; Leakage delay; Fractional order; Complex valued neural networks; Inequality; STABILITY ANALYSIS; PROJECTIVE SYNCHRONIZATION; BIFURCATION;
D O I：
10.1016/j.physa.2020.124710
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
This paper talks about the global synchronization of delayed fractional-order complex valued neural networks (FOCVNNs) with leakage delay. A new fractional differential inequality is proposed, which offers an important tool in the investigation of synchronization about FOCVNNs. Through constructing appropriate Lyapunov function and using the fractional order comparison theory, some new synchronization conditions are established. A numerical example is given to demonstrate the feasibility of the proposed method. (C) 2020 Elsevier B.V. All rights reserved.
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页数：7
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