Scientific Machine Learning (SciML), constrained optimization, Model Predictive Control (MPC), Data-driven modeling and control
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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.
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