EXISTENCE AND GLOBAL EXPONENTIAL STABILITY OF ALMOST PERIODIC SOLUTIONS FOR BAM NEURAL NETWORKS WITH DISTRIBUTED LEAKAGE DELAYS ON TIME SCALES

DOI10.11948/2017075zbMath1452.34092OpenAlexW2760960228MaRDI QIDQ5121514

Chang-Jin Xu, Yicheng Pang, Pei-Luan Li

Publication date: 15 September 2020

Published in: Journal of Applied Analysis & Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.11948/2017075

zbMATH Keywords

exponential stabilityexponential dichotomyalmost periodic solutionBAM neural networksdistributed leakage delay

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Almost and pseudo-almost periodic solutions to functional-differential equations (34K14) Stability theory of functional-differential equations (34K20) Dynamic equations on time scales or measure chains (34N05)

Related Items (4)

Input-to-state stability analysis for memristive BAM neural networks with variable time delays ⋮ Existence and stability of a periodic solution of a general difference equation with applications to neural networks with a delay in the leakage terms ⋮ Global stability criteria for nonlinear differential systems with infinite delay and applications to BAM neural networks ⋮ Mean-square exponential stability of fuzzy stochastic BAM networks with hybrid delays

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