DocumentCode :
2524551
Title :
New delay segment-dependent asymptotic stability for stochastic neural networks with interval time-varying delay and distributed delays
Author :
Xia, Jianwei ; Chen, Xianping ; Chen, Yonggang ; Li, Yongmin
Author_Institution :
Sch. of Autom., Southeast Univ., Nanjing, China
fYear :
2011
fDate :
23-25 May 2011
Firstpage :
2888
Lastpage :
2892
Abstract :
This paper deals with the problem of stability for a class of stochastic neural networks with interval time-varying delays and distributed delay. Based on the idea of nonuniform partitioning the delay interval, new delay-interval dependent stability are proposed by constructing a novel Augmented Lyapunov-Krasovskii functional in terms of linear matrix inequalities(LMIs).
Keywords :
Lyapunov methods; asymptotic stability; delay systems; linear matrix inequalities; neurocontrollers; stochastic systems; LMI; augmented Lyapunov-Krasovskii functional; delay segment-dependent asymptotic stability; delay-interval dependent stability; distributed delay; interval time-varying delay; linear matrix inequalities; nonuniform partitioning; stochastic neural network; Artificial neural networks; Asymptotic stability; Biological neural networks; Delay; Educational institutions; Stability criteria; Stochastic neural networks; interval time-varying delays; nonuniform delay partitioning; stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
Type :
conf
DOI :
10.1109/CCDC.2011.5968900
Filename :
5968900
Link To Document :
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