Stability and Hopf bifurcation analysis of a fractional-order ring-hub structure neural network with delays under parameters delay feedback control

被引:4
|
作者
Ma, Yuan [1 ]
Dai, Yunxian [1 ]
机构
[1] Kunming Univ Sci & Technol, Dept Syst Sci & Appl Math, Kunming 650500, Peoples R China
基金
中国国家自然科学基金;
关键词
fractional-order two-delay neural network; ring-hub structure; Hopf bifurcation; parameters delay feedback control; stability switching curves;
D O I
10.3934/mbe.2023890
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this paper, a fractional-order two delays neural network with ring-hub structure is investigated. Firstly, the stability and the existence of Hopf bifurcation of proposed system are obtained by taking the sum of two delays as the bifurcation parameter. Furthermore, a parameters delay feedback controller is introduced to control successfully Hopf bifurcation. The novelty of this paper is that the characteristic equation corresponding to system has two time delays and the parameters depend on one of them. Selecting two time delays as the bifurcation parameters simultaneously, stability switching curves in (tau 1, tau 2) plane and crossing direction are obtained. Sufficient criteria for the stability and the existence of Hopf bifurcation of controlled system are given. Ultimately, numerical simulation shows that parameters delay feedback controller can effectively control Hopf bifurcation of system.
引用
收藏
页码:20093 / 20115
页数:23
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