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
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;
Conference_Titel :
Computational Intelligence and Security (CIS), 2011 Seventh International Conference on
Conference_Location :
Hainan
Print_ISBN :
978-1-4577-2008-6
DOI :
10.1109/CIS.2011.90
