Lyapunov-stable Neural Control for State and Output Feedback
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Jul 15, 2024 - Python
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Lyapunov-stable Neural Control for State and Output Feedback
[IROS 22'] Model-free Neural Lyapunov Control
Neuro-Fuzzy Control Assignments for ECE NTUA 9th Semester Course "Neuro-Fuzzy Control and Applications" (ECE1374)
Algorithms to investigate (through neural control) the representational relationships between univariate or multivariate in silico fMRI responses of multiple visual areas of the brain.
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In this repository, a neural-network-PI (NN-PI) hybrid controller has been designed to maintain voltage stability when considering load changes in an islanded single-DG MG. A NN-based controller has also been designed for maximum power point tracking (MPPT) of PV panels. Conventional PI controllers have been designed for energy storage devices.
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Official codebase for the paper "Blending Neural Control Density Functions for Stabilization and Safety" (ICML 2026)
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