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

作　　者：Mei Li Ruo-Xun Zhang Shi-Ping Yang 李梅;张若洵;杨世平(College of Physics,Hebei Normal University,Shijiazhuang 050024,China;Department of Computer Science,North China Electric Power University,Baoding 071003,China;College of Primary Education,Xingtai University,Xingtai 054001,China)

机构地区：[1]College of Physics,Hebei Normal University,Shijiazhuang 050024,China [2]Department of Computer Science,North China Electric Power University,Baoding 071003,China [3]College of Primary Education,Xingtai University,Xingtai 054001,China

出　　处：《Chinese Physics B》2021年第12期248-253,共6页中国物理B（英文版）

基　　金：Project supported by the Science and Technology Support Program of Xingtai,China(Grant No.2019ZC054)。

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.

关 键 词：adaptive synchronization fractional calculus complex-valued chaotic neural networks TIME-DELAY 

分 类 号：O415.5[理学—理论物理] TP183[理学—物理]