A new result on the global convergence of Hopfield neural networks

DOI10.1109/TCSI.2002.803358zbMath1368.34061OpenAlexW2153716067MaRDI QIDQ5349574

Xiwu Liu, Tian-Ping Chen

Publication date: 25 August 2017

Published in: IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tcsi.2002.803358

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Qualitative investigation and simulation of ordinary differential equation models (34C60)

Related Items (13)

Stability of artificial neural networks with impulses ⋮ Analysis and design of asymmetric Hopfield networks with discrete-time dynamics ⋮ Approximation-based fixed-time adaptive tracking control for a class of uncertain nonlinear pure-feedback systems ⋮ Dynamic analysis of unstable Hopfield networks ⋮ Dynamics analysis for generic projection continuous-time RNNs with bounded matrices ⋮ Global exponential stability of Cohen-Grossberg neural networks with distributed delays ⋮ Efficient Continuous-Time Asymmetric Hopfield Networks for Memory Retrieval ⋮ Global exponential stability analysis for a class of neural networks with time delays ⋮ Exponential stability in Hopfield-type neural networks with impulses ⋮ New estimate on the domains of attraction of equilibrium points in continuous Hopfield neural networks ⋮ Non-fragile mixed H and passivity control for neural networks with successive time-varying delay components ⋮ A weak condition for global stability of delayed neural networks ⋮ A weak condition of globally asymptotic stability for neural networks

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