New finite-time passivity criteria for delayed fractional-order neural networks based on Lyapunov function approach

DOI10.1016/j.chaos.2022.112005zbMath1505.92013OpenAlexW4221044691MaRDI QIDQ2113167

M. Shafiya, G. Nagamani

Publication date: 12 January 2023

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.chaos.2022.112005

zbMATH Keywords

linear matrix inequalityLyapunov stability theoryfinite-time stabilityfinite-time passivityfractional-order neural networks

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Fractional derivatives and integrals (26A33) Asymptotic stability in control theory (93D20) Fractional ordinary differential equations (34A08) Finite-time stability (93D40)

Related Items (7)

Bifurcation Dynamics and Control Mechanism of a Fractional-Order Delayed Brusselator Chemical Reaction Model ⋮ Lipschitz stability analysis of fractional-order impulsive delayed reaction-diffusion neural network models ⋮ Delay-dependent passivity of impulsive coupled reaction-diffusion neural networks with multi-proportional delays ⋮ Quasi-uniform synchronization of fractional fuzzy discrete-time delayed neural networks via delayed feedback control design ⋮ Finite time passivity analysis for Caputo fractional BAM reaction-diffusion delayed neural networks ⋮ Exploration and Control of Bifurcation in a Fractional-Order Delayed Glycolytic Oscillator Model ⋮ Novel order-dependent passivity conditions of fractional generalized Cohen-Grossberg neural networks with proportional delays

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