Scientific Machine Learning (SciML), constrained optimization, Model Predictive Control (MPC), Data-driven modeling and control
-
Pacific Northwest National Laboratory
- Richland, Washingthon, USA
- https://drgona.github.io/
- @jan_drgona
- in/drgona
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pnnl/neuromancer
pnnl/neuromancer PublicPytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
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pnnl/deps_arXiv2020
pnnl/deps_arXiv2020 PublicDifferentiable predictive control (DPC) policy optimization examples.
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PIML_ACC2023
PIML_ACC2023 PublicMaterial for the tutorial on "Physics-Informed Machine Learning (PIML) for Modeling and Control of Dynamical Systems" presented at the American Control Conference 2023.
258 contributions in the last year
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Activity overview
Contributed to
pnnl/neuromancer,
drgona/drgona.github.io,
drgona/ML_and_control_buildings_energy
and 3 other
repositories
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Contribution activity
April 2025
Created 17 commits in 3 repositories
3
contributions
in private repositories
Apr 9 – Apr 11