Global asymptotic stability analysis for delayed neural networks using a matrix-based quadratic convex approach
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Publication:2339411
DOI10.1016/j.neunet.2014.02.012zbMath1322.93079OpenAlexW1965632565WikidataQ51100865 ScholiaQ51100865MaRDI QIDQ2339411
Qing-Long Han, Xian-Ming Zhang
Publication date: 1 April 2015
Published in: Neural Networks (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.neunet.2014.02.012
global asymptotic stabilityintegral inequalityinterval time-varying delaygeneralized neural networksmatrix-based quadratic convex approach
Neural networks for/in biological studies, artificial life and related topics (92B20) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Control/observation systems governed by ordinary differential equations (93C15)
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