Global robust exponential stability for Hopfield neural networks with non-Lipschitz activation functions

DOI10.1007/s10958-012-1079-6zbMath1260.93131OpenAlexW2089353494MaRDI QIDQ1948624

Huaiqin Wu, Hongtao Yu

Publication date: 24 April 2013

Published in: Journal of Mathematical Sciences (New York) (Search for Journal in Brave)

Full work available at URL: http://dspace.nbuv.gov.ua/handle/123456789/175586

zbMATH Keywords

Brouwer degreeLyapunov stability theoryglobal robust exponential stabilityHopfield neural networks with norm-bounded parameter uncertainties

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Control/observation systems with incomplete information (93C41) Robust stability (93D09) Control/observation systems governed by ordinary differential equations (93C15)

Related Items (2)

Robust stability analysis of fractional-order Hopfield neural networks with parameter uncertainties ⋮ Exponential synchronization for stochastic neural networks with mixed time delays and Markovian jump parameters via sampled data

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