DocumentCode
1343665
Title
Exponential Synchronization of Complex Networks With Finite Distributed Delays Coupling
Author
Hu, Cheng ; Yu, Juan ; Jiang, Haijun ; Teng, Zhidong
Author_Institution
Coll. of Math. & Syst. Sci., Xinjiang Univ., Urumqi, China
Volume
22
Issue
12
fYear
2011
Firstpage
1999
Lastpage
2010
Abstract
In this paper, the exponential synchronization for a class of complex networks with finite distributed delays coupling is studied via periodically intermittent control. Some novel and useful criteria are derived by utilizing a different technique compared with some correspondingly previous results. As a special case, some sufficient conditions ensuring the exponential synchronization for a class of coupled neural networks with distributed delays are obtained. Furthermore, a feasible region of the control parameters is derived for the realization of exponential synchronization. It is worth noting that the synchronized state in this paper is not an isolated node but a non-decoupled state, in which the inner coupling matrix and the degree of the nodes play a central role. Additionally, the traditional assumptions on control width, non-control width, and discrete delays are removed in our results. Finally, some numerical simulations are given to demonstrate the effectiveness of the proposed control method.
Keywords
complex networks; delays; distributed control; matrix algebra; neurocontrollers; periodic control; synchronisation; complex networks; coupled neural networks; coupling matrix; exponential synchronization; finite distributed delays coupling; numerical simulations; periodic intermittent control; Complex networks; Couplings; Delay; Manifolds; Neural networks; Synchronization; Complex networks; coupled neural networks; exponential synchronization; finite distributed delays; periodically intermittent control; Algorithms; Computer Simulation; Feedback; Models, Theoretical; Neural Networks (Computer);
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/TNN.2011.2167759
Filename
6036180
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