Chaos Synchronization of Coupled Neurons via H-Infinity Control with Cooperative Weights Neural Network

被引：0
|
作者：
Liu, Yuliang [1 ]
Li, Ruixue [1 ]
Che, Yanqiu [1 ]
Han, Chunxiao [1 ]
机构：
[1] Tianjin Univ Technol & Educ, Tianjin Key Lab Informat Sensing & Intelligent Co, Tianjin 300222, Peoples R China
来源：
ADVANCES IN FUTURE COMPUTER AND CONTROL SYSTEMS, VOL 2 | 2012年 / 160卷
关键词：
Chaos synchronization; FitzHugh-Nagumo (FHN) model; Synchronization control; H-infinity control; Cooperative weights neural networks; SYSTEMS; DESIGN;
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：
In this paper, an H-infinity control with a cooperative weights neural network is proposed to realize the synchronization of two gap junction coupled chaotic FitzHugh-Nagumo (FHN) neurons. We first use a cooperative weights neural network to approximate the unknown nonlinear function. Then we employ the H-infinity control technique to attenuate the effects caused by unmodelled dynamics, disturbances and approximate errors. Finally, by Lyapunov method, the overall closed-loop system is shown to be stable and chaos synchronization is obtained. The control scheme is robust to the uncertainties such as unmodelled dynamics, ionic channel noises and external disturbances. The simulation results demonstrate the effectiveness of the proposed control method.
引用
收藏
页码：369 / 374
页数：6
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