Adaptive synchronization of a class of fractional-order complex-valued chaotic neural network with time-delay*

被引：2
作者：
Li, Mei [1 ,2 ]
Zhang, Ruo-Xun [3 ]
Yang, Shi-Ping [1 ]
机构：
[1] Hebei Normal Univ, Coll Phys, Shijiazhuang 050024, Hebei, Peoples R China
[2] North China Elect Power Univ, Dept Comp Sci, Baoding 071003, Peoples R China
[3] Xingtai Univ, Coll Primary Educ, Xingtai 054001, Peoples R China
来源：
CHINESE PHYSICS B | 2021年 / 30卷 / 12期
关键词：
adaptive synchronization; fractional calculus; complex-valued chaotic neural networks; time-delay; STABILITY ANALYSIS; PROJECTIVE SYNCHRONIZATION; DISCRETE; SYSTEMS;
D O I：
10.1088/1674-1056/abfa09
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
This paper is concerned with the adaptive synchronization of fractional-order complex-valued chaotic neural networks (FOCVCNNs) with time-delay. The chaotic behaviors of a class of fractional-order complex-valued neural network are investigated. Meanwhile, based on the complex-valued inequalities of fractional-order derivatives and the stability theory of fractional-order complex-valued systems, a new adaptive controller and new complex-valued update laws are proposed to construct a synchronization control model for fractional-order complex-valued chaotic neural networks. Finally, the numerical simulation results are presented to illustrate the effectiveness of the developed synchronization scheme.
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页数：6
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