Hopf Bifurcation Control for a Single Neuron Model with Delay-Dependent Parameters via State Feedback

被引：0
|
作者：
Xiao, Min [1 ]
机构：
[1] Nanjing Xiaozhuang Univ, Sch Math & Informat Technol, Nanjing 210017, Jiangsu, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2011, PT I | 2011年 / 6675卷
关键词：
Hopf bifurcation control; Delay-dependent parameters; State feedback; STABILITY;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper deals with Hopf bifurcation control for a single neuron model with delay-dependent parameters. It has been shown that the system without control cannot guarantee a stationary state. As the range parameter of the system passes a critical value, Hopf bifurcation occurs early. To control the Hopf bifurcation, a state feedback controller is proposed to postpone the onset of undesirable Hopf bifurcation. Numerical simulation results confirm that the state feedback is efficient in controlling Hopf bifurcation.
引用
收藏
页码：132 / 138
页数：7
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