TWO-LAYER STABILIZATION OF CONTINUOUS NEURAL NETWORKS WITH FEEDBACKS

DOI10.1080/01969720290040623zbMath1023.93049OpenAlexW2045545498MaRDI QIDQ4781287

E. E. Dudnikov

Publication date: 2 November 2003

Published in: Cybernetics and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01969720290040623

zbMATH Keywords

feedback stabilizationHopfield-type continuous neural networks

Mathematics Subject Classification ID

Stabilization of systems by feedback (93D15) Neural networks for/in biological studies, artificial life and related topics (92B20)

Cites Work

• On global asymptotic stability of a class of nonlinear systems arising in neural network theory
• Qualitative analysis and synthesis of a class of neural networks
• New sufficient conditions for absolute stability of neural networks
• Necessary and sufficient condition for absolute stability of neural networks
• Comments on "Necessary and sufficient condition for absolute stability of neural networks"
• On a class of globally stable neural circuits
• New conditions for global stability of neural networks with application to linear and quadratic programming problems

This page was built for publication: TWO-LAYER STABILIZATION OF CONTINUOUS NEURAL NETWORKS WITH FEEDBACKS