Adaptive synchronization of the complex dynamical network with non-derivative and derivative coupling

2010 ◽  
Vol 374 (15-16) ◽  
pp. 1673-1677 ◽  
Author(s):  
Yuhua Xu ◽  
Wuneng Zhou ◽  
Jian'an Fang ◽  
Wen Sun
2008 ◽  
Vol 57 (4) ◽  
pp. 2081
Author(s):  
Gao Yang ◽  
Li Li-Xiang ◽  
Peng Hai-Peng ◽  
Yang Yi-Xian ◽  
Zhang Xiao-Hong

2012 ◽  
Vol 69 (4) ◽  
pp. 1813-1824 ◽  
Author(s):  
Qiyang Hu ◽  
Haipeng Peng ◽  
Yunge Wang ◽  
Zhirui Hu ◽  
Yixian Yang

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Miao Shi ◽  
Junmin Li ◽  
Chao He

Adaptive synchronization control is proposed for a new complex dynamical network model with nonidentical nodes and nonderivative and derivative couplings. The distributed adaptive learning laws of periodically time-varying and constant parameters and distributed adaptive control are designed. The new method which can obtain the synchronization error of closed-loop complex network system is asymptotic convergence in the sense of square error norm. What is more, the coupling matrix is not assumed to be symmetric or irreducible. Finally, a simulation example shows the feasibility and effectiveness of the approach.


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