DocumentCode :
232027
Title :
Algebraic conditions for synchronization stability of memristive neural networks
Author :
Chao Yang ; Kai Zhong ; Song Zhu ; Yi Shen
Author_Institution :
Coll. of Sci., China Univ. of Min. & Technol., Xuzhou, China
fYear :
2014
fDate :
28-30 July 2014
Firstpage :
5055
Lastpage :
5058
Abstract :
Memristive neural network is a special structure of the power system, Its stability plays a very important role in practical applications. In this paper, by analyzing the stability of the system and the synchronization of two memristive neural networks, we get a new stability and synchronization criterion with using lyapunov functional method and inequality method. In addition, the new proposed algebraic criteria are very easy to verify, and they also enrich and improve the earlier publications.
Keywords :
Lyapunov methods; algebra; neural nets; stability; synchronisation; Lyapunov functional method; algebraic conditions; inequality method; memristive neural networks; stability criterion; synchronization criterion; synchronization stability; Circuit stability; Educational institutions; Memristors; Power system stability; Stability criteria; Synchronization; Lyapunov functions; Synchronization stability; neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
Type :
conf
DOI :
10.1109/ChiCC.2014.6895799
Filename :
6895799
Link To Document :
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