Global exponential stability of cellular neural networks with multi-proportional delays

DOI10.1142/S1793524515500710zbMath1332.34117OpenAlexW1981897500MaRDI QIDQ3459308

Yanyan Zhang, Liqun Zhou

Publication date: 22 December 2015

Published in: International Journal of Biomathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s1793524515500710

zbMATH Keywords

cellular neural networksBrouwer fixed point theoremglobal exponential stabilityproportional delaydelay differential inequality

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Stability theory of functional-differential equations (34K20) Applications of operator theory to differential and integral equations (47N20) Functional-differential inequalities (34K38)

Related Items (8)

Stability analysis of stochastic BAM neural networks with reaction-diffusion, multi-proportional and distributed delays ⋮ Analysis of a hepatitis B viral infection model with immune response delay ⋮ Robust delay-dependent stability of uncertain inertial neural networks with impulsive effects and distributed-delay ⋮ Global exponential convergence for a class of HCNNs with neutral time-proportional delays ⋮ Global Exponential Stability of Non-autonomous Cellular Neural Network Model with Time Varying Delays ⋮ Global power stability of neural networks with impulses and proportional delays ⋮ Global exponential convergence for a class of neutral functional differential equations with proportional delays ⋮ Polynomial dissipativity of proportional delayed BAM neural networks

Cites Work

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