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• W2999095188 endingPage "124167" @default.
• W2999095188 startingPage "124167" @default.
• W2999095188 abstract "In this paper, a class of uncertain memristive neural networks with leakage and time varying transmission delays as well as Lévy noise is studied. Based on the theory of Filippov’s solution, by using Lyapunov–Krasovskii functionals, the free-weighting matrix method and stochastic analysis technique, sufficient criteria in terms of linear matrix inequalities (LMIs) are given to ascertain the subsystems and memristive neural networks to be exponentially mean-square stable in Lagrange sense. Meanwhile the estimations of globally attractive sets are given. Finally, numerical examples are carried out to illustrate the feasibility of theoretical results." @default.
• W2999095188 created "2020-01-23" @default.
• W2999095188 creator A5025398514 @default.
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• W2999095188 date "2020-07-01" @default.
• W2999095188 modified "2023-10-10" @default.
• W2999095188 title "Lagrange stability for uncertain memristive neural networks with Lévy noise and leakage delay" @default.
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• W2999095188 doi "https://doi.org/10.1016/j.physa.2020.124167" @default.
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