Synchronization of Chaotic Neurons via Variable Universe Adaptive Fuzzy Sliding Mode Control

被引：0
|
作者：
Che, Yan-Qiu [1 ]
Wang, Jiang [1 ]
Chan, Wai-Lok [2 ]
Tsang, Kai-Ming [2 ]
Wei, Xi-Le [1 ]
Deng, Bin [1 ]
机构：
[1] Tianjin Univ, Fac Sch Elect Engn & Automat, Tianjin 300072, Peoples R China
[2] Hong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Peoples R China
来源：
ASCC: 2009 7TH ASIAN CONTROL CONFERENCE, VOLS 1-3 | 2009年
基金：
美国国家科学基金会;
关键词：
COUPLED NEURONS; VISUAL-CORTEX; RESPONSES; SYSTEMS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a hybrid control strategy, variable universe adaptive fuzzy sliding mode control, is proposed to realize the chaos synchronization of two gap junction coupled FitzHugh-Nagumo (FHN) neurons under external electrical stimulation. According to the Lyapunov stability theory, the stability of the closed error system is guaranteed. The control scheme is robust to the uncertainties such as approximate error, ionic channel noise and external disturbances. Chaos synchronization are obtained by proper choice of the control parameters. The simulation results demonstrate the effectiveness of the proposed control method.
引用
收藏
页码：577 / 582
页数：6
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