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• W2969525025 abstract "This paper is concerned with almost sure exponential stabilization of neural networks by intermittent control based on delay observations. By the stochastic comparison principle and Ito’s formula, a sufficient criterion is derived, under which unstable neural networks can be stabilized by stochastic intermittent control based on delay observations. The range of intermittent rate is given, and the upper bound of time delay can be solved from a transcend equation. Finally, two examples are provided to demonstrate the feasibility and validity of our proposed methods." @default.
• W2969525025 created "2019-08-29" @default.
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• W2969525025 date "2019-08-22" @default.
• W2969525025 modified "2023-09-24" @default.
• W2969525025 title "Almost sure exponential stabilization of neural networks by aperiodically intermittent control based on delay observations" @default.
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• W2969525025 doi "https://doi.org/10.1186/s13662-019-2260-8" @default.
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