Robust adaptive synchronization of chaotic neural networks by slide technique  

作　　者：楼旭阳 崔宝同 

机构地区：[1]College of Communication and Control Engineering,Jiangnan University [2]CSIRO Division of Mathematical and Information Sciences,University of Adelaide

出　　处：《Chinese Physics B》2008年第2期520-528,共9页中国物理B（英文版）

基　　金：Project supported by the National Natural Science Foundation of China (Grant No 60674026);the Key Project of Chinese Ministryof Education (Grant No 107058);the Jiangsu Provincial Natural Science Foundation of China (Grant No BK2007016);the Jiangsu Provincial Program for Postgraduate Scientific Innovative Research of Jiangnan University (Grant No CX07B 116z)

摘　　要：In this paper, we focus on the robust adaptive synchronization between two coupled chaotic neural networks with all the parameters unknown and time-varying delay. In order to increase the robustness of the two coupled neural networks, the key idea is that a sliding-mode-type controller is employed. Moreover, without the estimate values of the network unknown parameters taken as an updating object, a new updating object is introduced in the constructing of controller. Using the proposed controller, without any requirements for the boundedness, monotonicity and differentiability of activation functions, and symmetry of connections, the two coupled chaotic neural networks can achieve global robust synchronization no matter what their initial states are. Finally, the numerical simulation validates the effectiveness and feasibility of the proposed technique.In this paper, we focus on the robust adaptive synchronization between two coupled chaotic neural networks with all the parameters unknown and time-varying delay. In order to increase the robustness of the two coupled neural networks, the key idea is that a sliding-mode-type controller is employed. Moreover, without the estimate values of the network unknown parameters taken as an updating object, a new updating object is introduced in the constructing of controller. Using the proposed controller, without any requirements for the boundedness, monotonicity and differentiability of activation functions, and symmetry of connections, the two coupled chaotic neural networks can achieve global robust synchronization no matter what their initial states are. Finally, the numerical simulation validates the effectiveness and feasibility of the proposed technique.

关 键 词：robust adaptive synchronization slide technique chaotic neural networks time-varying delay 

分 类 号：O415.5[理学—理论物理]