Evolution of Conventions and Social Polarization in Dynamical Complex Networks

2010 ◽  
pp. 512-522
Author(s):  
Enea Pestelacci ◽  
Marco Tomassini
Keyword(s):  
Complex Networks ◽  
Social Polarization ◽  
Dynamical Complex Networks

scholarly journals Nonlinear Analysis of Dynamical Complex Networks 2014

2014 ◽  
Vol 2014 ◽  
pp. 1-4 ◽  
Author(s):  
Zidong Wang ◽  
Bo Shen ◽  
Hongli Dong ◽  
Jun Hu ◽  
Xiao He ◽  
...  
Keyword(s):  
Complex Networks ◽  
Nonlinear Analysis ◽  
Dynamical Complex Networks

scholarly journals ROBUST STRUCTURAL SYNCHRONIZATION IN DYNAMICAL COMPLEX NETWORKS

2007 ◽  
Vol 40 (12) ◽  
pp. 264-269
Author(s):  
Sergej Ĉelikovsky ◽  
Volodymyr Lynnyk ◽  
Guanrong Chen
Keyword(s):  
Complex Networks ◽  
Dynamical Complex Networks

scholarly journals Fixed-Time Synchronization Control of Delayed Dynamical Complex Networks

Entropy ◽  
2021 ◽  
Vol 23 (12) ◽  
pp. 1610
Author(s):  
Mei Liu ◽  
Binglong Lu ◽  
Zhanfeng Li ◽  
Haijun Jiang ◽  
Cheng Hu
Keyword(s):  
Complex Networks ◽  
Control Parameter ◽  
Time Synchronization ◽  
Adaptive Controller ◽  
Fixed Time ◽  
Synchronization Control ◽  
Delayed Neural Networks ◽  
Synchronization Problem ◽  
Delayed Dynamical Networks ◽  
Dynamical Complex Networks

Fixed-time synchronization problem for delayed dynamical complex networks is explored in this paper. Compared with some correspondingly existed results, a few new results are obtained to guarantee fixed-time synchronization of delayed dynamical networks model. Moreover, by designing adaptive controller and discontinuous feedback controller, fixed-time synchronization can be realized through regulating the main control parameter. Additionally, a new theorem for fixed-time synchronization is used to reduce the conservatism of the existing work in terms of conditions and the estimate of synchronization time. In particular, we obtain some fixed-time synchronization criteria for a type of coupled delayed neural networks. Finally, the analysis and comparison of the proposed controllers are given to demonstrate the validness of the derived results from one numerical example.

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