DocumentCode
232405
Title
Polystability in Lagrange sense for a class of delayed neural networks
Author
Zhao Zhihua ; Jian Jigui ; Li Liangliang
Author_Institution
Coll. of Sci., China Three Gorges Univ. Yichang, Yichang, China
fYear
2014
fDate
28-30 July 2014
Firstpage
6099
Lastpage
6102
Abstract
In this paper, the polystability of a class of neural networks with constant delay is discussed. By constructing a new Lyapunov function, a delay-dependent criterion is obtained to ensure the system is bounded and exponentially bounded with respect to partial states. The result derived here generalizes and improves the earlier publications. Finally, one numerical example is given and analyzed to demonstrate our result..
Keywords
Lyapunov methods; delays; neurocontrollers; stability; Lagrange sense; Lyapunov function; delay-dependent criterion; delayed neural networks; exponentially bounded system; polystability; Artificial neural networks; Educational institutions; Lyapunov methods; Numerical stability; Stability criteria; Delayed neural networks; Lyapunov function; inequality; polystability in Lagrange sense;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2014 33rd Chinese
Conference_Location
Nanjing
Type
conf
DOI
10.1109/ChiCC.2014.6895987
Filename
6895987
Link To Document