Global synchronization of linearly hybrid coupled networks with time-varying delay

被引:301
作者
Yu, Wenwu [1 ,2 ,3 ]
Cao, Jinde [1 ]
Lu, Jinhu [4 ,5 ]
机构
[1] Southeast Univ, Dept Math, Nanjing 210096, Peoples R China
[2] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China
[3] Columbia Univ, Dept Elect Engn, New York, NY 10027 USA
[4] Chinese Acad Sci, Inst Syst Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
[5] Princeton Univ, Dept Ecol & Evolut Biol, Princeton, NJ 08544 USA
关键词
Lyapunov function; linear matrix inequality (LMI); global synchronization; time-varying delay; complex networks;
D O I
10.1137/070679090
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Many real-world large-scale complex networks demonstrate a surprising degree of synchronization. To unravel the underlying mechanics of synchronization in these complex networks, a generally linearly hybrid coupled network with time-varying delay is proposed, and its global synchronization is then further investigated. Several effective sufficient conditions of global synchronization are attained based on the Lyapunov function and a linear matrix inequality (LMI). Both delay-independent and delay-dependent conditions are deduced. In particular, the coupling matrix may be nonsymmetric or nondiagonal. Moreover, the derivative of the time-varying delay is extended to any given value. Finally, a small-world network, a regular network, and scale-free networks with network size are constructed to show the effectiveness of the proposed synchronous criteria.
引用
收藏
页码:108 / 133
页数:26
相关论文
共 40 条
[1]   Emergence of scaling in random networks [J].
Barabási, AL ;
Albert, R .
SCIENCE, 1999, 286 (5439) :509-512
[2]  
Boyd S., 1994, SIAM STUD APPL MATH, V15
[3]   Boundedness and stability for Cohen-Grossberg neural network with time-varying delays [J].
Cao, J ;
Liang, JL .
JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 2004, 296 (02) :665-685
[4]   Global synchronization in arrays of delayed neural networks with constant and delayed coupling [J].
Cao, JD ;
Li, P ;
Wang, WW .
PHYSICS LETTERS A, 2006, 353 (04) :318-325
[5]   Synchronization criteria of Lur'e systems with time-delay feedback control [J].
Cao, JD ;
Li, HX ;
Ho, DWC .
CHAOS SOLITONS & FRACTALS, 2005, 23 (04) :1285-1298
[6]   Global asymptotic and robust stability of recurrent neural networks with time delays [J].
Cao, JD ;
Wang, J .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2005, 52 (02) :417-426
[7]   Absolute exponential stability of recurrent neural networks with Lipschitz-continuous activation functions and time delays [J].
Cao, JD ;
Wang, J .
NEURAL NETWORKS, 2004, 17 (03) :379-390
[8]   A new complex network model and convergence dynamics for reputation computation in virtual organizations [J].
Cao, Jinde ;
Yu, Wenwu ;
Qu, Yuzhong .
PHYSICS LETTERS A, 2006, 356 (06) :414-425
[9]   Global synchronization of coupled delayed neural networks and applications to chaotic CNN models [J].
Chen, GR ;
Zhou, J ;
Liu, ZR .
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 2004, 14 (07) :2229-2240
[10]  
Chen JL., 2001, Special matrices