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• W2006918046 abstract "This paper focuses on the global delay-dependent robust asymptotic stability of stochastic neural networks of neutral type with time-varying delays. The delay functions of networks under consideration are bounded but not necessarily differentiable. Based on the stochastic Lyapunov stability theory, itÔ's differential rule and linear matrix inequality (LMI) optimization technique, a delay-dependent asymptotic stability criterion is derived. Finally, an illustrative example is given to show the effectiveness and feasibility of the proposed method." @default.
• W2006918046 created "2016-06-24" @default.
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• W2006918046 date "2012-05-01" @default.
• W2006918046 modified "2023-09-24" @default.
• W2006918046 title "Robust stability of stochastic neural networks of neutral type with time-varying delays" @default.
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• W2006918046 doi "https://doi.org/10.1109/icnc.2012.6234565" @default.
• W2006918046 hasPublicationYear "2012" @default.
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