Generalized Projective Synchronization between Two Different Neural Networks with Mixed Time Delays

被引：6
作者：
Wu, Xuefei [2 ,3 ]
Xu, Chen [1 ]
Feng, Jianwen [1 ]
Zhao, Yi [1 ]
Zhou, Xuan [4 ]
机构：
[1] Shenzhen Univ, Coll Math & Computat Sci, Shenzhen 518060, Peoples R China
[2] Shenzhen Univ, Coll Informat & Engn, Shenzhen 518060, Peoples R China
[3] Shenzhen Polytech, Sch Comp Engn, Shenzhen 518055, Peoples R China
[4] Wuhan Univ, Sch Math & Stat, Wuhan 430072, Peoples R China
来源：
DISCRETE DYNAMICS IN NATURE AND SOCIETY | 2012年 / 2012卷
基金：
美国国家科学基金会;
关键词：
COMPLEX NETWORKS; PHASE SYNCHRONIZATION; ANTI-SYNCHRONIZATION; SYSTEMS;
D O I：
10.1155/2012/153542
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
The generalized projective synchronization (GPS) between two different neural networks with nonlinear coupling and mixed time delays is considered. Several kinds of nonlinear feedback controllers are designed to achieve GPS between two different such neural networks. Some results for GPS of these neural networks are proved theoretically by using the Lyapunov stability theory and the LaSalle invariance principle. Moreover, by comparison, we determine an optimal nonlinear controller from several ones and provide an adaptive update law for it. Computer simulations are provided to show the effectiveness and feasibility of the proposed methods.
引用
收藏
页数：19
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