Finite-time stability and finite-time synchronization of neural network -- dual approach

DOI10.1016/J.JFRANKLIN.2017.08.054zbMath1380.93275OpenAlexW2766828502WikidataQ104413699 ScholiaQ104413699MaRDI QIDQ682726

Anna Michalak, Andrzej F. Nowakowski

Publication date: 5 February 2018

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

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2017.08.054

zbMATH Keywords

nonlinear neural networksHopfield neural networksfinite-time stabilityfinite-time synchronizationdual Lyapunov function

Mathematics Subject Classification ID

Stochastic network models in operations research (90B15) Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10) Stochastic stability in control theory (93E15)

Related Items (6)

Synchronization in \(p\)th moment for stochastic chaotic neural networks with finite-time control ⋮ New approach to fixed-time stability of a nonlinear system ⋮ Fixed-time synchronization of semi-Markovian jumping neural networks with time-varying delays ⋮ On the novel finite-time stability results for uncertain fractional delay differential equations involving noninstantaneous impulses ⋮ Fixed-time stability of ODE and fixed-time stability of neural network ⋮ Finite-time and fixed-time stability analysis for time-varying systems: a dual approach

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