Stability properties of neural networks with non-instantaneous impulses

DOI10.3934/MBE.2019058zbMath1497.92006OpenAlexW2913450480WikidataQ92853253 ScholiaQ92853253MaRDI QIDQ2160639

Ravi P. Agarwal, Radoslava Terzieva, Donal O'Regan, Snezhana G. Hristova

Publication date: 3 August 2022

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2019058

zbMATH Keywords

nonlinear neural networksLipschitz stabilitynon-instantaneous impulses

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Ordinary differential equations with impulses (34A37)

Uses Software

• Unnamed Item

Cites Work

• Unnamed Item
• Stability of nonlinear differential systems with state-dependent delayed impulses
• Lipschitz stability of nonlinear systems of differential equations
• Continuous-time additive Hopfield-type neural networks with impulses.
• Lipschitz stability of differential equations with non-instantaneous impulses
• Finite-time stability and settling-time estimation of nonlinear impulsive systems
• Stability of artificial neural networks with impulses
• Non-Instantaneous Impulses in Differential Equations
• Neural networks and physical systems with emergent collective computational abilities.
• A logical calculus of the ideas immanent in nervous activity

This page was built for publication: Stability properties of neural networks with non-instantaneous impulses