Neural sliding-mode pinning control for output synchronization for uncertain general complex networks

Automatica ◽  
2020 ◽  
Vol 112 ◽  
pp. 108694 ◽  
Author(s):  
Oscar J. Suarez ◽  
Carlos J. Vega ◽  
Edgar N. Sanchez ◽  
Guanrong Chen ◽  
Jose Santiago Elvira-Ceja ◽  
...  
2019 ◽  
Vol 49 (4) ◽  
pp. 1314-1326 ◽  
Author(s):  
Jin-Liang Wang ◽  
Zhen Qin ◽  
Huai-Ning Wu ◽  
Tingwen Huang ◽  
Pu-Chong Wei

2013 ◽  
Vol 51 (2) ◽  
pp. 1395-1416 ◽  
Author(s):  
Wenwu Yu ◽  
Guanrong Chen ◽  
Jinhu Lü ◽  
Jürgen Kurths

Kybernetika ◽  
2018 ◽  
pp. 1011-1032
Author(s):  
Oscar J. Suarez ◽  
Carlos J. Vega ◽  
Santiago Elvira-Ceja ◽  
Edgar N. Sanchez ◽  
David I. Rodriguez

2014 ◽  
Vol 144 ◽  
pp. 215-221 ◽  
Author(s):  
Mo Zhao ◽  
Huaguang Zhang ◽  
Zhiliang Wang ◽  
Hongjing Liang

2011 ◽  
Vol 2011 ◽  
pp. 1-23 ◽  
Author(s):  
Jianwen Feng ◽  
Jingyi Wang ◽  
Chen Xu ◽  
Francis Austin

We consider a method for driving general complex networks into prescribed cluster synchronization patterns by using pinning control. The coupling between the vertices of the network is nonlinear, and sufficient conditions are derived analytically for the attainment of cluster synchronization. We also propose an effective way of adapting the coupling strengths of complex networks. In addition, the critical combination of the control strength, the number of pinned nodes and coupling strength in each cluster are given by detailed analysis cluster synchronization of a special topological structure complex network. Our theoretical results are illustrated by numerical simulations.


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