A sufficient condition for absolute stability of a larger class of dynamical neural networks

DOI10.1109/81.847881zbMath0979.34042OpenAlexW2154987323MaRDI QIDQ2723879

Sabri Arik, Vedat Tavsanoglu

Publication date: 8 July 2001

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/10.1109/81.847881

zbMATH Keywords

absolute stabilitydynamical neural networks

Mathematics Subject Classification ID

Asymptotic stability in control theory (93D20) Stability of solutions to ordinary differential equations (34D20) Qualitative investigation and simulation of ordinary differential equation models (34C60) Global stability of solutions to ordinary differential equations (34D23)

Related Items (4)

A comparative study of two modeling approaches in neural networks ⋮ Multi-periodicity of switched neural networks with time delays and periodic external inputs under stochastic disturbances ⋮ On the global convergence of a class of functional differential equations with applications in neural network theory ⋮ Global asymptotic stability for a linear system in a saturated mode

This page was built for publication: A sufficient condition for absolute stability of a larger class of dynamical neural networks