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• W2079483073 abstract "This paper investigates the stochastic stability of fuzzy Markovian jumping neural networks with mixed delays in mean square. The mixed delays include time-varying delay and continuously distributed delay. By using the Lyapunov functional method, Jensen integral inequality, the generalized Jensen integral inequality, linear convex combination technique and the free-weight matrix method, several novel sufficient conditions are derived to ensure the global asymptotic stability of the equilibrium point of the considered networks in mean square. The proposed results, which do not require the differentiability of the activation functions, can be easily checked via Matlab software. Finally, two numerical examples are given to demonstrate the effectiveness and less conservativeness of our theoretical results over existing literature." @default.
• W2079483073 created "2016-06-24" @default.
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• W2079483073 date "2015-05-01" @default.
• W2079483073 modified "2023-10-17" @default.
• W2079483073 title "Mode-dependent stochastic stability criteria of fuzzy Markovian jumping neural networks with mixed delays" @default.
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• W2079483073 doi "https://doi.org/10.1016/j.isatra.2014.11.004" @default.
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