Exponential stability of impulsive high-order cellular neural networks with time-varying delays

DOI10.1016/j.nonrwa.2008.11.007zbMath1180.93050OpenAlexW2035095607MaRDI QIDQ1049476

Zaitang Huang, Qi-Gui Yang

Publication date: 12 January 2010

Published in: Nonlinear Analysis. Real World Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.nonrwa.2008.11.007

zbMATH Keywords

exponential stabilityneural networkstime-varying delaysimpulsivehigh-order

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10) Robust stability (93D09) Stability theory of functional-differential equations (34K20) Control/observation systems governed by ordinary differential equations (93C15)

Related Items (6)

Global exponential stability of high-order Hopfield neural networks with state-dependent impulses ⋮ Exponential convergence for high-order recurrent neural networks with a class of general activation functions ⋮ New results on global exponential stability for impulsive cellular neural networks with any bounded time-varying delays ⋮ Exponential stabilization of coupled hybrid stochastic delayed BAM neural networks: a periodically intermittent control method ⋮ FEATURE EXTRACTION OF MOTOR IMAGERY EEG BASED ON WAVELET TRANSFORM AND HIGHER-ORDER STATISTICS ⋮ Stability analysis of high-order Hopfield-type neural networks based on a new impulsive differential inequality

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