DocumentCode
2281690
Title
New passivity result for discrete-time stochastic neural networks with time-varying delays
Author
Zhao, Zhenjiang ; Song, Qiankun
Author_Institution
Dept. of Math., Huzhou Teachers Coll., Huzhou, China
Volume
3
fYear
2011
fDate
10-12 June 2011
Firstpage
731
Lastpage
735
Abstract
In this paper, the problem on passivity is investigated for a class of discrete-time stochastic neural networks with time-varying delays. By constructing a novel Lyapunov-Krasovskii functional and employing a combination of the free-weighting matrix method and stochastic analysis technique, a delay-dependent passivity criterion in linear matrix inequalities (LMIs) is derived, which is different from the existing passivity results.
Keywords
Lyapunov matrix equations; delays; discrete time systems; linear matrix inequalities; neural nets; stochastic processes; stochastic systems; Lyapunov-Krasovskii functional; delay dependent passivity criterion; discrete time stochastic neural network; free-weighting matrix method; linear matrix inequalities; stochastic analysis technique; time varying delays; Artificial neural networks; Delay; Linear matrix inequalities; Stability criteria; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-8727-1
Type
conf
DOI
10.1109/CSAE.2011.5952778
Filename
5952778
Link To Document