Boundedness and global exponential stability for delayed differential equations with applications

DOI10.1016/j.amc.2009.04.016zbMath1181.34072OpenAlexW2105627104MaRDI QIDQ833139

José J. Oliveira, Teresa Faria

Publication date: 12 August 2009

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/1822/11304

zbMATH Keywords

delayneural networkglobal asymptotic stabilityglobal exponential stabilityCohen-Grossberg neural networkdelayed population model

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Stability theory of functional-differential equations (34K20) Growth, boundedness, comparison of solutions to functional-differential equations (34K12) Qualitative investigation and simulation of models involving functional-differential equations (34K60)

Related Items (6)

Stability conditions for scalar delay differential equations with a non-delay term ⋮ Global stability of a Cohen-Grossberg neural network with both time-varying and continuous distributed delays ⋮ Global exponential stability of nonautonomous neural network models with continuous distributed delays ⋮ Boundedness and persistence of delay differential equations with mixed nonlinearity ⋮ General criteria for asymptotic and exponential stabilities of neural network models with unbounded delays ⋮ Stability results for impulsive functional differential equations with infinite delay

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