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• W2105087696 abstract "This paper is concerned with stability analysis problem for uncertain stochastic neural networks with discrete interval and distributed time-varying delays. The parameter uncertainties are assumed to be norm bounded and the delay is assumed to be time-varying and belong to a given interval, which means that the lower and upper bounds of interval time-varying delays are available. Based on the new Lyapunov-Krasovskii functional and stochastic stability theory, delay-interval dependent stability criteria are obtained in terms of linear matrix inequalities. Finally, two numerical examples and comparisons are given to show the effectiveness of the proposed LMI conditions." @default.
• W2105087696 created "2016-06-24" @default.
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• W2105087696 date "2014-01-01" @default.
• W2105087696 modified "2023-09-28" @default.
• W2105087696 title "LMI optimisation approach to new stability results for uncertain stochastic neural networks with discrete interval and distributed time-varying delays" @default.
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• W2105087696 doi "https://doi.org/10.1504/ijcsm.2014.066417" @default.
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