Synchronization stability in complex interconnected neural networks with nonsymmetric coupling

被引:49
|
作者
Wang, Zhanshan [1 ]
Zhang, Huaguang [1 ]
机构
[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Peoples R China
基金
中国国家自然科学基金;
关键词
Synchronization stability; Neural networks; Nonsymmetric coupling; Complex networks; GLOBAL ASYMPTOTIC STABILITY; DYNAMICAL NETWORKS; EXPONENTIAL SYNCHRONIZATION; ARRAY; MULTISTABILITY; CRITERIA; MULTIPERIODICITY;
D O I
10.1016/j.neucom.2012.11.014
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Some global stability criteria for arrays of linearly coupled delayed neural networks with nonsymmetric coupling are established on the basis of linear matrix inequality (LMI) method, in which the coupling configuration matrix may be arbitrary matrix with appropriate dimensions. Meanwhile, the relations of coupling matrix to stability and synchronization are discussed in detail, and some analysis methods to the synchronization stability of complex networks are also argued. The difficulty arising from the nonsymmetry of the coupling matrix has been overcome in this work. Numerical simulation is also given to verify the effectiveness of the theoretical results. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:84 / 92
页数:9
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