Complete Periodic Synchronization of Memristor-Based Neural Networks with Time-Varying Delays

This paper investigates the complete periodic synchronization of memristor-based neural networks with time-varying delays. Firstly, under the framework of Filippov solutions, by using M-matrix theory and the Mawhin-like coincidence theorem in set-valued analysis, the existence of the periodic soluti...

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Bibliographic Details

Published in:	Discrete Dynamics in Nature and Society
Main Authors:	Huaiqin Wu, Luying Zhang, Sanbo Ding, Xueqing Guo, Lingling Wang
Format:	Article
Language:	English
Published:	Wiley 2013-01-01
Online Access:	http://dx.doi.org/10.1155/2013/140153