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Delay-dependent Stability Criteria for Uncertain Stochastic Neural Networks with Interval Time-varying Delays  

Kwon, Oh-Min (충북대학교 전기공학과)
Park, Ju-Hyun (영남대학교 전기공학과)
Lee, Sang-Moon (KT 플랫폼연구소)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.57, no.11, 2008 , pp. 2066-2073 More about this Journal
Abstract
In this paper, the problem of global asymptotic stability of uncertain stochastic neural networks with delay is considered. The delay is assumed to be time-varying and belong to a given interval. Based on the Lyapunov stability theory, new delay-dependent stability criteria for the system is derived in terms of LMI(linear matrix inequality). Three numerical examples are given to show the effectiveness of proposed method.
Keywords
Interval time-varying delays; Linear matrix inequalities; Lyapunov method; Stochastic neural networks;
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