Robust synchronization control of coupled chaotic neurons under external electrical stimulation

被引：31
|
作者：
Che, Yan-Qiu [1 ]
Wang, Jiang [1 ]
Zhou, Si-Si [1 ]
Deng, Bin [1 ]
机构：
[1] Tianjin Univ, Sch Elect Engn & Automat, Tianjin 300072, Peoples R China
来源：
CHAOS SOLITONS & FRACTALS | 2009年 / 40卷 / 03期
关键词：
VISUAL-CORTEX; RESPONSES; SYSTEMS;
D O I：
10.1016/j.chaos.2007.09.014
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In this paper, a robust adaptive neural network (NN) controller is proposed to realize the synchronization of two gap junction coupled chaotic FitzHugh-Nagumo (FHN) neurons under external electrical stimulation. Based oil the Lyapunov stability theory, we derive the update laws of NN for approximating the nonlinear uncertain functions of the error dynamical system. The control scheme is robust to the uncertainties such as approximate error, ionic channel noise and external disturbances. Chaos synchronization is obtained by proper choice of the control parameters. The simulation results demonstrate the effectiveness of the proposed control method. (C) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1333 / 1342
页数：10
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