DocumentCode
2987067
Title
Global Synchronization of Hybrid Coupled Neural Networks with Time-varying Delay
Author
Wu, Xuefei ; Xu, Chen
Author_Institution
Coll. of Inf. & Eng., Shenzhen Univ., Shenzhen, China
fYear
2011
fDate
3-4 Dec. 2011
Firstpage
375
Lastpage
380
Abstract
In this paper, global synchronization in arrays of coupled networks with two time-varying delay coupling is investigated. Based on Lyapunov functional, we derive two synchronization conditions of these new complex network models by using linear matrix inequality(LMI). Due to two time vary delay, it can seen clearly from our results that the synchronization states change. Finally, a numerical example is given to illustrate the theoretical results.
Keywords
Lyapunov methods; linear matrix inequalities; neural nets; time-varying systems; LMI; Lyapunov function; global synchronization; hybrid coupled neural networks; linear matrix inequality; time-varying delay; Biological neural networks; Complex networks; Couplings; Delay; Linear matrix inequalities; Neurons; Synchronization; LMI; complex network; global synchronization; timevarying delay;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security (CIS), 2011 Seventh International Conference on
Conference_Location
Hainan
Print_ISBN
978-1-4577-2008-6
Type
conf
DOI
10.1109/CIS.2011.90
Filename
6128143
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