Asymptotic stability of impulsive reaction-diffusion cellular neural networks with time-varying delays

DOI10.1155/2012/501891zbMath1235.93197OpenAlexW1998464797WikidataQ58906013 ScholiaQ58906013MaRDI QIDQ410998

Yutian Zhang

Publication date: 4 April 2012

Published in: Journal of Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2012/501891

Mathematics Subject Classification ID

Reaction-diffusion equations (35K57) 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)

Related Items (7)

LMI approach to exponential stability and almost sure exponential stability for stochastic fuzzy Markovian-jumping Cohen-Grossberg neural networks with nonlinear \(p\)-Laplace diffusion ⋮ Delay-dependent exponential stability for Markovian jumping stochastic Cohen-Grossberg neural networks with \(p\)-Laplace diffusion and partially known transition rates via a differential inequality ⋮ Exponential stability of impulsive delayed reaction-diffusion cellular neural networks via Poincaré integral inequality ⋮ Existence and global stability of a periodic solution for discrete-time cellular neural networks ⋮ LMI approach to stability analysis of Cohen-Grossberg neural networks with \(p\)-Laplace diffusion ⋮ Reaction-diffusion equations with non-autonomous force in \(H^{-1}\) and delays under measurability conditions on the driving delay term ⋮ Delay-dependent exponential stability for nonlinear reaction-diffusion uncertain Cohen-Grossberg neural networks with partially known transition rates via Hardy-Poincaré inequality

Cites Work

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