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
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;
Conference_Titel :
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-8727-1
DOI :
10.1109/CSAE.2011.5952778
