Global Lagrange stability for neutral-type inertial neural networks with discrete and distributed time delays

DOI10.1016/J.CJPH.2020.03.011OpenAlexW3010857314MaRDI QIDQ6128212

M. Syed Ali, J. Yogambigai, Hamed H. Alsulami, Mohammed Alhodaly

Publication date: 15 April 2024

Published in: Chinese Journal of Physics (Taipei) (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cjph.2020.03.011

zbMATH Keywords

linear matrix inequalityLagrange stabilityneutral delayLyapunov-Krasovski functionalglobal exponential attractive setinertial neural networks

Mathematics Subject Classification ID

Functional-differential equations (including equations with delayed, advanced or state-dependent argument) (34Kxx) Stability of control systems (93Dxx) Mathematical biology in general (92Bxx)

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Periodic solution for neutral-type inertial neural networks with time-varying delays ⋮ Existence and global asymptotic stability criteria for nonlinear neutral-type neural networks involving multiple time delays using a quadratic-integral Lyapunov functional

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