DocumentCode :
1062733
Title :
Improved delay-dependent stability analysis for uncertain stochastic hopfield neural networks with time-varying delays
Author :
Chen, Yuanfeng ; Xue, Ancheng ; Zhao, Xingang ; Zhou, Shiyu
Author_Institution :
Inst. of Operational Res. & Cybernics, Hangzhou Dianzi Univ., Hangzhou
Volume :
3
Issue :
1
fYear :
2009
fDate :
1/1/2009 12:00:00 AM
Firstpage :
88
Lastpage :
97
Abstract :
The problem of delay-dependent stability analysis for uncertain stochastic Hopfield neural networks with time delays is investigated. The parametric uncertainties are norm-bounded and the delays are time-varying. On the basis of Lyapunov-Krasovskii approach, new stochastic stability conditions with delay dependence are formulated in terms of linear matrix inequalities. In the derivations, some cross terms, which are ignored in the existing methods, are considered by introducing some free-weighting matrices. Two illustrative examples are proposed to demonstrate the improvement of our results over the previous ones.
Keywords :
Hopfield neural nets; Lyapunov methods; delay systems; linear matrix inequalities; neurocontrollers; stability; stochastic systems; uncertain systems; Lyapunov-Krasovskii approach; delay-dependent stability analysis; linear matrix inequalities; stochastic stability conditions; time-varying delays; uncertain stochastic Hopfield neural networks;
fLanguage :
English
Journal_Title :
Control Theory & Applications, IET
Publisher :
iet
ISSN :
1751-8644
Type :
jour
DOI :
10.1049/iet-cta:20070319
Filename :
4745903
Link To Document :
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