Asymptotic Stability Criterion for Fuzzy Recurrent Neural Networks with Interval Time-Varying Delay

被引：0

作者：

Chandran, R. ^{[1
]}

Balasubramaniam, P. ^{[2
]}

机构：

[1] Govt Arts Coll, Dept Comp Sci, Melur 626106, Tamil Nadu, India

[2] Deemed Univ, Gandhigram Rural Inst, Dept Math, Gandhigram, Tamil Nadu, India

来源：

MATHEMATICAL MODELLING AND SCIENTIFIC COMPUTATION | 2012年 / 283卷

关键词：

Fuzzy recurrent neural networks; Interval time-varying delay; Delay decomposition approach; Linear Matrix Inequalities; Maximum Admissible Upper Bound (MAUB); DEPENDENT STABILITY; DECOMPOSITION APPROACH; SYSTEMS;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper focuses on the delay-dependent, asymptotic stability for fuzzy recurrent neural networks (FRNNs) with interval time-varying delay. The delay interval is decomposed into multiple uniform subintervals. Lyapunov-Krasovskii functionals (LKFs) are constructed on these intervals. By employing these LKFs, new delay-dependent, asymptotic stability criterion is proposed in terms of Linear Matrix Inequalities (LMIs), which can be easily solved by MATLAB LMI toolbox. Numerical example is given to illustrate the effectiveness of the proposed method.

引用

页码：271 / +

页数：3

共 50 条

[1] Delay Dependent Exponential Stability for Fuzzy Recurrent Neural Networks with Interval Time-Varying Delay
Chandran, R.
Balasubramaniam, P.
NEURAL PROCESSING LETTERS, 2013, 37 (02) : 147 - 161
[2] Delay Dependent Exponential Stability for Fuzzy Recurrent Neural Networks with Interval Time-Varying Delay
R. Chandran
P. Balasubramaniam
Neural Processing Letters, 2013, 37 : 147 - 161
[3] Improved asymptotic stability criteria for neural networks with interval time-varying delay
Tian, Junkang
Zhou, Xiangbing
EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (12) : 7521 - 7525
[4] Delay-Interval-dependent stability of recurrent neural networks with time-varying delay
Li, Chuandong
Feng, Gang
NEUROCOMPUTING, 2009, 72 (4-6) : 1179 - 1183
[5] New stability criteria for recurrent neural networks with interval time-varying delay
Bai, Yong-Qiang
Chen, Jie
NEUROCOMPUTING, 2013, 121 : 179 - 184
[6] Stability analysis of static recurrent neural networks with interval time-varying delay
Sun, Jian
Chen, Jie
APPLIED MATHEMATICS AND COMPUTATION, 2013, 221 : 111 - 120
[7] Interval time-varying delay stability for neural networks
Souza, Fernando de Oliveira
Palhares, Reinaldo Martinez
NEUROCOMPUTING, 2010, 73 (13-15) : 2789 - 2792
[8] New delay-dependent criterion for the stability of recurrent neural networks with time-varying delay
Zhang HuaGuang
Wang ZhanShan
SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES, 2009, 52 (06): : 942 - 948
[9] New delay-dependent criterion for the stability of recurrent neural networks with time-varying delay
ZHANG HuaGuang WANG ZhanShan School of Information Science and Engineering Northeastern University Shenyang China
ScienceinChina(SeriesF:InformationSciences), 2009, 52 (06) : 942 - 948
[10] New delay-dependent criterion for the stability of recurrent neural networks with time-varying delay
HuaGuang Zhang
ZhanShan Wang
Science in China Series F: Information Sciences, 2009, 52 : 942 - 948

← 1 2 3 4 5 →