Title :
Complete synchronization in weighted complex networks
Author :
Huang, Lilian ; Gao, Meng ; Sun, Guanghui
Author_Institution :
Coll. of Inf. & Commun. Eng., Harbin Eng. Univ., Harbin, China
Abstract :
In this paper, the model of the weighted NW small-world networks is established when the topology of the network is given. Then the sufficient condition for synchronization in weighted networks is obtained by stability theory and matrix theory under the conditions of the weight is fixed. Moreover, the H-R neurons network is used to verify its feasibility via numerical simulation. Finally, the smallest coupled strength is obtained when connection probability is existent.
Keywords :
complex networks; matrix algebra; network theory (graphs); neural nets; stability; synchronisation; topology; H-R neurons network; matrix theory; network topology; stability theory; weighted NW small world network; weighted complex network; Couplings; Jacobian matrices; Neurons; Numerical models; Numerical stability; Stability analysis; Synchronization;
Conference_Titel :
Systems and Control in Aeronautics and Astronautics (ISSCAA), 2010 3rd International Symposium on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-6043-4
Electronic_ISBN :
978-1-4244-7505-6
DOI :
10.1109/ISSCAA.2010.5632365
