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Stochastic stability of uncertain recurrent neural networks with Markovian jumping parameters

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Publication:530667
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DOI10.1016/S0252-9602(15)30044-8zbMath1349.93404OpenAlexW1030937500MaRDI QIDQ530667

Ali M. Syed

Publication date: 10 August 2016

Published in: Acta Mathematica Scientia. Series B. (English Edition) (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0252-9602(15)30044-8


zbMATH Keywords

linear matrix inequalityLyapunov functionalrecurrent neural networksMarkovian jumping parameters


Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Asymptotic stability in control theory (93D20) Stochastic stability in control theory (93E15)


Related Items (4)

Finite-time synchronization of fractional-order memristor-based neural networks with time delays ⋮ Pullback attractors for stochastic recurrent neural networks with discrete and distributed delays ⋮ Global asymptotic stability of stochastic reaction-diffusion recurrent neural networks with Markovian jumping parameters and mixed delays ⋮ Random recurrent neural networks with delays






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