Exponential stability and trajectory bounds of neural networks under structural variations

DOI10.1109/31.97538zbMath0738.93057OpenAlexW2059528966MaRDI QIDQ3986799

Anthony N. Michel, Ljubomir T. Grujic

Publication date: 27 June 1992

Published in: IEEE Transactions on Circuits and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/31.97538

zbMATH Keywords

neural networksLyapunov functions

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Lyapunov and storage functions (93D30) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Analytic circuit theory (94C05)

Related Items (3)

Standard representation and unified stability analysis for dynamic artificial neural network models ⋮ Global properties for a class of dynamical neural circuits ⋮ Novel lyapunov stability methodology for nonlinear systems: Complete solutions

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