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New Stability Criteria for Stochastic Delayed Neural Networks of Neutral-Type with Uncertainties and Time-Varying Delays

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In this paper, the problem of delay-dependent robust stability analysis is investigated for delayed neural networks of neutral-type with parameter uncertainties and stochastic perturbations. Based on an appropriate LyapunovKrasovskii functional, the stochastic stability theory and the free-weighting matrix method, novel delay-dependent robust stability criteria are derived in terms of linear matrix inequality (LMI). Three examples are given to illustrate the feasibility and effectiveness of the proposed results.
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Keywords: DELAY-DEPENDENT ROBUST STABILITY; LINEAR MATRIX INEQUALITY; LYAPUNOV-KRASOVSKII FUNCTIONAL; NEUTRAL-TYPE; STOCHASTIC DELAYED NEURAL NETWORKS

Document Type: Research Article

Publication date: 2012-03-01

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