Global synchronization for BAM delayed reaction-diffusion neural networks with fractional partial differential operator

DOI10.1016/j.jfranklin.2022.08.038zbMath1506.93089OpenAlexW4293531840WikidataQ114160005 ScholiaQ114160005MaRDI QIDQ2680296

Yanyan Li

Publication date: 30 January 2023

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2022.08.038

zbMATH Keywords

global asymptotic synchronizationglobal Mittag-Leffler synchronizationbidirectional associative memory reaction-diffusion neural networks

Mathematics Subject Classification ID

Control/observation systems governed by partial differential equations (93C20) Stability of control systems (93D99) Fractional partial differential equations (35R11) Networked control (93B70)

Related Items (5)

Adaptive quasi-synchronization analysis for Caputo delayed Cohen-Grossberg neural networks ⋮ Novel passivity and dissipativity criteria for discrete-time fractional generalized delayed Cohen-Grossberg neural networks ⋮ Novel LMI-based adaptive boundary synchronisation of fractional-order fuzzy reaction–diffusion BAM neural networks with leakage delay ⋮ Novel order-dependent passivity conditions of fractional generalized Cohen-Grossberg neural networks with proportional delays ⋮ Mittag-Leffler stability and synchronization for FOQVFNNs including proportional delay and Caputo derivative via fractional differential inequality approach

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