New delay-dependent global asymptotic stability criteria of delayed hopfield neural networks

DOI10.1016/j.nonrwa.2007.06.008zbMath1156.34348OpenAlexW2056058946MaRDI QIDQ1007721

J. Martínez

Publication date: 24 March 2009

Published in: Nonlinear Analysis. Real World Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.nonrwa.2007.06.008

zbMATH Keywords

linear matrix inequalityLyapunov methodglobal asymptotic stabilitymodel transformationdelayed Hopfield neural networks

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Stability theory of functional-differential equations (34K20) Global stability of solutions to ordinary differential equations (34D23)

Related Items (3)

Stability analysis for switched Hopfield neural networks with time delay ⋮ Delay-dependent global asymptotic stability criteria for stochastic genetic regulatory networks with Markovian jumping parameters ⋮ A semi-free weighting matrices approach for neutral-type delayed neural networks

Uses Software

• LMI toolbox

Cites Work

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