Lur'e-Postnikov Lyapunov function approach to global robust Mittag-Leffler stability of fractional-order neural networks

DOI10.1186/s13662-017-1298-8zbMath1422.92009OpenAlexW2744655841WikidataQ59524410 ScholiaQ59524410MaRDI QIDQ1629889

Ka Song, Huaiqin Wu, Li-Fei Wang

Publication date: 7 December 2018

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

Full work available at URL: https://doi.org/10.1186/s13662-017-1298-8

zbMATH Keywords

Brouwer degreelinear matrix inequalityfractional-order neural networksglobal robust Mittag-Leffler stabilityLur'e-postnikov type Lyapunov functional

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Fractional derivatives and integrals (26A33) Adaptive or robust stabilization (93D21) Fractional ordinary differential equations (34A08)

Related Items (2)

Further results on Mittag-Leffler synchronization of fractional-order coupled neural networks ⋮ Rotational periodic solutions for fractional iterative systems

Cites Work

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