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This paper is concerned with the problem of the exponential passive filter design for neutral-type neural networks with time-varying mixed delays. First, a Luenberger-type filter is designed for estimating the network states. Second, by constructing an appropriate Lyapunov-Krasovskii functional and using the so-called Wirtinger-based integral inequality to estimate its derivative, a delay-range-dependent...
This paper concerns the new delay-probability-distribution-dependent robust stability analysis for uncertain stochastic genetic regulatory networks (SGRNs) with time-varying delays. Based on model transformation, furthermore, by constructing a proper Lyaponov-Krasovskii functional and employing upper bound lemma on the reciprocally convex combination, we achieved the delay-probability-distribution-dependent...
This paper considers the problem of stability analysis of a class of delayed genetic regulatory networks (GRNs) with stochastic disturbances. By introducing appropriate Lyapunov-Krasovskii functional and employing free-weighting matrix approach, convex combination approach and delay-range partition approach, respectively, three stability criteria in the form of linear matrix inequalities are established...
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