Mean-square asymptotic stability of stochastic inertial neural networks with time-delay and Markovian jump parameters

DOI10.1504/IJDSDE.2021.120047zbMath1482.93674OpenAlexW4206307694WikidataQ115237303 ScholiaQ115237303MaRDI QIDQ2113777

Raju K. George, R. Krishnasamy

Publication date: 14 March 2022

Published in: International Journal of Dynamical Systems and Differential Equations (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1504/ijdsde.2021.120047

zbMATH Keywords

time-delayLyapunov-Krasovskii functionalMarkovian jumpmean-square asymptotic stabilityinertial neural networksINNs

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Brownian motion (60J65) Stochastic stability in control theory (93E15) Stability theory for random and stochastic dynamical systems (37H30) Jump processes on discrete state spaces (60J74) Nonlinear processes (e.g., (G)-Brownian motion, (G)-Lévy processes) (60G65)

Related Items (1)

Robust stability of uncertain stochastic switched inertial neural networks with time‐varying delay using state‐dependent switching law

This page was built for publication: Mean-square asymptotic stability of stochastic inertial neural networks with time-delay and Markovian jump parameters