Cluster synchronization in an array of hybrid coupled neural networks with delay

被引:239
作者
Cao, Jinde [1 ]
Li, Lulu [1 ]
机构
[1] Southeast Univ, Dept Math, Nanjing 210096, Peoples R China
基金
中国国家自然科学基金;
关键词
Cluster synchronization; Lyapunov-Krasovskii function; Linear matrix inequality (LMI); Delayed neural network; Hybrid coupling; TIME-VARYING DELAY; GLOBAL SYNCHRONIZATION; EXPONENTIAL SYNCHRONIZATION; COMPLEX NETWORKS; DISTRIBUTED DELAYS; STABILITY; DISCRETE; DISTURBANCES; LATTICES; SYSTEMS;
D O I
10.1016/j.neunet.2009.03.006
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper investigates cluster synchronization in an array of hybrid coupled neural networks with delay. By constructing a special coupling matrix, a new method is proposed to realize cluster synchronization. In particular, the coupling configuration matrix is not assumed to be symmetric or irreducible and the inner coupling matrix is not assumed to be diagonal or positive definite. Moreover, several sufficient conditions for Cluster synchronization are derived, based on Lyapunov stability theory and the linear matrix inequality (LMI) technique. Finally, an example is given to demonstrate the effectiveness of the theoretical results. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:335 / 342
页数:8
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