LMI conditions for robust stability analysis of stochastic Hopfield neural networks with interval time-varying delays and linear fractional uncertainties

DOI10.1007/s00034-010-9260-yzbMath1228.93127OpenAlexW2032612120MaRDI QIDQ640398

S. Lakshmanan, Pagavathigounder Balasubramaniam

Publication date: 18 October 2011

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

Full work available at URL: https://doi.org/10.1007/s00034-010-9260-y

zbMATH Keywords

linear matrix inequalityLyapunov-Krasovskii functionalstochastic neural networksdelay/interval-dependent stability

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Robust stability (93D09) Stochastic stability in control theory (93E15)

Related Items (5)

Dynamical behaviors of stochastic Hopfield neural networks with both time-varying and continuously distributed delays ⋮ State feedback synchronization control of impulsive neural networks with mixed delays and linear fractional uncertainties ⋮ Exponential stability behavior of neutral stochastic integrodifferential equations with fractional Brownian motion and impulsive effects ⋮ Global robust exponential dissipativity for interval recurrent neural networks with infinity distributed delays ⋮ Robust Stability Analysis of Delayed Stochastic Neural Networks via Wirtinger-Based Integral Inequality

Uses Software

• LMI toolbox

Cites Work

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