|
|
Generalized chaos synchronization of a weighted complex network with different nodes |
Lü Ling(吕翎)†, Li Gang(李钢), Guo Li(郭丽), Meng Le(孟乐),Zou Jia-Rui(邹家蕊), and Yang Ming(杨明) |
College of Physics and Electronic Technology, Liaoning Normal University, Dalian 116029, China |
|
|
Abstract This paper proposes a method of realizing generalized chaos synchronization of a weighted complex network with different nodes. Chaotic systems with diverse structures are taken as the nodes of the complex dynamical network, the nonlinear terms of the systems are taken as coupling functions, and the relations among the nodes are built through weighted connections. The structure of the coupling functions between the connected nodes is obtained based on Lyapunov stability theory. A complex network with nodes of Lorenz system, Coullet system, Rössler system and the New system is taken as an example for simulation study and the results show that generalized chaos synchronization exists in the whole weighted complex network with different nodes when the coupling strength among the nodes is given with any weight value. The method can be used in realizing generalized chaos synchronization of a weighted complex network with different nodes. Furthermore, both the weight value of the coupling strength among the nodes and the number of the nodes have no effect on the stability of synchronization in the whole complex network.
|
Received: 16 December 2009
Revised: 25 January 2010
Accepted manuscript online:
|
PACS:
|
05.45.Xt
|
(Synchronization; coupled oscillators)
|
|
89.75.Hc
|
(Networks and genealogical trees)
|
|
Fund: Project supported by the Natural Science Foundation of Liaoning Province, China (Grant No. 20082147) and the Innovative Team Program of Liaoning Educational Committee, China (Grant No. 2008T108). |
Cite this article:
Lü Ling(吕翎), Li Gang(李钢), Guo Li(郭丽), Meng Le(孟乐),Zou Jia-Rui(邹家蕊), and Yang Ming(杨明) Generalized chaos synchronization of a weighted complex network with different nodes 2010 Chin. Phys. B 19 080507
|
[1] |
Newman M E J, Strogatz S H and Watts D J 2001 Phys. Rev. E 64 26118
|
[2] |
Watts D J and Strogatz S H 1998 Nature 393 440
|
[3] |
Albert R, Jeong H and Barab'asi A L 1999 Nature 401 130
|
[4] |
Adamic L A and Huberman B A 2000 Science 287 2115
|
[5] |
Ravasz E and Barab'asi A L 2003 Phys. Rev. E 67 26112
|
[6] |
Pan Z F and Wang X F 2006 Acta Phys. Sin. 55 4058 (in Chinese)
|
[7] |
Xu D, Li X and Wang X F 2007 Acta Phys. Sin. 56 1313 (in Chinese)
|
[8] |
Zhang Q Z and Li Z K 2009 Chin. Phys. B 18 2176
|
[9] |
Meng G F, ChenY H and Peng Y H 2009 Chin. Phys. B 18 2194
|
[10] |
Guo J L 2008 Acta Phys. Sin. 57 756 (in Chinese)
|
[11] |
Atay F M, Jost J and Wende A 2004 Phys. Rev. Lett. 92 144101
|
[12] |
Motter A E, Zhou C and Kurths J 2005 Phys. Rev. E 71 16116
|
[13] |
Timme M, Wolf F and Geisel T 2004 Phys. Rev. Lett. 92 74101
|
[14] |
Checco P, Biey M and Kocarev L 2008 Chaos, Solitons and Fractals 35 562
|
[15] |
L"u J H, Yu X H and Chen G R 2004 Physica A 334 281
|
[16] |
Lu W and Chen T 2004 Physica D 198 148
|
[17] |
Han X P and Lu J A 2007 Sci. Chin. F bf50 615
|
[18] |
He G M and Yang J Y 2008 Chaos, Solitons and Fractals 38 1254
|
[19] |
Hung Y C, Huang Y T, Ho M C and Hu C K 2008 Phys. Rev. E 77 16202
|
[20] |
Barrat A, Barth'elemy M and Vespignani A 2004 Phys. Rev. Lett. 92 228701
|
[21] |
Li W and Cai X 2004 Phys. Rev. E 69 46106
|
[22] |
Fang J Q, Bi Q, Li Y, Lu X B and Liu Q 2007 Sci. Chin. G 50 379
|
[23] |
Xiang L Y, Liu Z X, Chen Z Q and Yuan Z Z 2008 Sci. Chin. F 51 511
|
[24] |
L"u L 2000 Nonlinear Dynamics and Chaos (Dalian: Dalian Publishing House) (in Chinese)
|
[25] |
Lorenz E N 1963 J. Atmos. Sci. 20 130
|
[26] |
Wu C W and Chua L O 1996 J. Bifur. Chaos 6 801
|
[27] |
Epstein I R 1984 J Phys. Chem. 88 187
|
[28] |
Liu W B and Chen G R 2004 J. Bifur. Chaos 14 1395
|
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|