Chaotic Synchronization of Two Electrical Coupled Neurons with Unknown Parameters Based on Adaptive Control  

作　　者：WANG Xing-Yuan REN Xiao-Li 王兴元;任小丽(School of Electronic and Information Engineering,Dalian University of Technology,Dalian 116024)

机构地区：[1]School of Electronic and Information Engineering,Dalian University of Technology,Dalian 116024

出　　处：《Chinese Physics Letters》2011年第5期60-63,共4页中国物理快报（英文版）

基　　金：Supported by the National Natural Science Foundation of China under Grant Nos 60573172 and 60973152;the Superior University Doctor Subject Special Scientific Research Foundation of China under Grant No 20070141014;the Natural Science Foundation of Liaoning province(No 20082165).

摘　　要：Chaotic synchronization of two electrical coupled FitzHugh-Nagumo(FHN)neurons with unknown parameters via adaptive control is investigated.Based on the Lyapunov stability theory,an adaptive controller and a parameter update law are designed,which can achieve the synchronization of the two gap junction coupled FHN neurons when the individual neuron is chaotic,without considering the coupling strength.Moreover,the unknown parameters are identified successfully and the controller is robust to the random noise.The numerical simulation results confirm the effectiveness of the designed controller.

关 键 词：STRENGTH CHAOTIC CHAOTIC 

分 类 号：O41[理学—理论物理]