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
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;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6895799