Mittag-Leffler stability analysis of fractional-order fuzzy Cohen-Grossberg neural networks with deviating argument

DOI10.1186/s13662-017-1368-yzbMath1422.92011OpenAlexW2763030110WikidataQ59523958 ScholiaQ59523958MaRDI QIDQ1710044

Liguang Wan, Ailong Wu

Publication date: 15 January 2019

Published in: Advances in Difference Equations (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/s13662-017-1368-y

zbMATH Keywords

deviating argumentCohen-Grossberg neural networksfractional-order systemsMittag-Leffler stability

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Robust stability (93D09) Stability theory of functional-differential equations (34K20) Fractional ordinary differential equations (34A08) Synchronization of solutions to ordinary differential equations (34D06)

Related Items (6)

Delay-coupled fractional order complex Cohen-Grossberg neural networks under parameter uncertainty: synchronization stability criteria ⋮ Finite-time stability criteria for a class of high-order fractional Cohen-Grossberg neural networks with delay ⋮ Unnamed Item ⋮ Robust stability analysis of impulsive complex-valued neural networks with mixed time delays and parameter uncertainties ⋮ Stability and pinning synchronization analysis of fractional order delayed Cohen-Grossberg neural networks with discontinuous activations ⋮ LMI conditions for some dynamical behaviors of fractional-order quaternion-valued neural networks

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