Mean square exponential stability for uncertain delayed stochastic neural networks with Markovian jump parameters

DOI10.1007/s00034-009-9138-zzbMath1190.93102OpenAlexW2083702841MaRDI QIDQ2380495

Qi Zhou, Chong Lin, Hongyi Li, Chen, Bing

Publication date: 26 March 2010

Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00034-009-9138-z

zbMATH Keywords

neural networksstochastic systemstime-varying delaysLMIsMarkovian jump parameters

Mathematics Subject Classification ID

Stochastic network models in operations research (90B15) 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 (5)

Robust stability of uncertain fuzzy BAM neural networks of neutral-type with Markovian jumping parameters and impulses ⋮ Robust stability for interval stochastic neural networks with time-varying discrete and distributed delays ⋮ An analysis of stability of a class of neutral-type neural networks with discrete time delays ⋮ Stochastic sampled-data control for exponential synchronization of Markovian jumping complex dynamical networks with mode-dependent time-varying coupling delay ⋮ New less-conservative stability results for uncertain stochastic neural networks with fewer slack variables

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