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

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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.
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)
出处 《Chinese Physics B》 SCIE EI CAS CSCD 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)。
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