Global attractivity of Cohen--Grossberg model with finite and infinite delays

DOI10.1016/j.jmaa.2005.04.076zbMath1098.34062OpenAlexW1987898991MaRDI QIDQ819046

Xiaofeng Liao, Chuandong Li

Publication date: 22 March 2006

Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmaa.2005.04.076

zbMATH Keywords

global attractivityLyapunov functionaldelaysCohen-Grossberg systems

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Stability theory of functional-differential equations (34K20)

Related Items (14)

Asymptotic stability analysis of stochastic reaction-diffusion Cohen-Grossberg neural networks with mixed time delays ⋮ Stability analysis of impulsive Cohen-Grossberg neural networks with distributed delays and reaction-diffusion terms ⋮ Robust convergence of Cohen-Grossberg neural networks with time-varying delays ⋮ Global exponential stability of impulsive cellular neural networks with time-varying and distributed delay ⋮ Stability of impulsive linear hybrid systems with time delay ⋮ Existence and global uniform asymptotic stability of pseudo almost periodic solutions for Cohen-Grossberg neural networks with discrete and distributed delays ⋮ Periodic solution to BAM-type Cohen-Grossberg neural network with time-varying delays ⋮ Convergence dynamics of Cohen-Grossberg neural networks with continuously distributed delays ⋮ Delay-dependent exponential stability for impulsive Cohen-Grossberg neural networks with time-varying delays and reaction-diffusion terms ⋮ Stability analysis for impulsive Cohen-Grossberg neural networks with time-varying delays and distributed delays ⋮ Local stability and attractive basin of Cohen-Grossberg neural networks ⋮ Dynamical analysis of Cohen-Grossberg neural networks with finite and infinite delays ⋮ DELAY INDEPENDENT AND DEPENDENT STABILITY ANALYSIS FOR COHEN–GROSSBERG NEURAL NETWORKS WITH TIME-VARYING DELAYS ⋮ Global dissipativity analysis on uncertain neural networks with mixed time-varying delays

Cites Work

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