中国物理B ›› 2008, Vol. 17 ›› Issue (2): 520-528.doi: 10.1088/1674-1056/17/2/029
崔宝同1, 楼旭阳2
Lou Xu-Yang(楼旭阳)a)b)† and Cui Bao-Tong(崔宝同)a)‡
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.
中图分类号: (Synchronization; coupled oscillators)