Robust Stability of Fuzzy Elman Neural Network

被引:2
作者
Araghi, Leila Fallah [1 ]
Hosseini, Hamed Shah [2 ]
机构
[1] Islamic Azad Univ, Elect Eng Dept, Sci & Res Branch Tehran, Tehran, Iran
[2] Shahid Beheshti Univ, Fac Elect & Comp Engn, Tehran, Iran
来源
2009 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING ( GRC 2009) | 2009年
关键词
D O I
10.1109/GRC.2009.5255173
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper proposed three methods for existence of a common quadratic Lyapunov function for Robust Stability Analysis of Fuzzy Elman Neural Network.
引用
收藏
页码:13 / +
页数:3
相关论文
共 19 条
[1]  
ARAGHI LF, 2009, INT MULT ENG COMP SC
[2]  
BARABANOV NE, 2002, IEEE T NEURAL NE MAR
[3]  
BLONDEL V, 2003, P HSSC
[4]  
CAO J, 2005, IEEE T CIRCUIT SYSTE, V52
[5]  
FREITAG F, 1996, INT C SPOK LANG PROC
[6]  
GURVITZ L, 2007, IEEE T AUTOMATIC CON
[7]  
HETEL L, 2007, THESIS I NATL POLYTE
[8]   Global stability of a class of discrete-time recurrent neural networks [J].
Hu, SQ ;
Wang, J .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2002, 49 (08) :1104-1117
[9]  
LEE C, 1999, P IEEE, V87
[10]  
LI L, 1997, CITESEER SCI LIT DIG