Scientific Machine Learning (SciML), constrained optimization, Model Predictive Control (MPC), Data-driven modeling and control
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Johns Hopkins University
- Baltimore, Maryland, 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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NeuralDAEs
NeuralDAEs PublicLearning Neural Differential Algebraic Equations via Operator Splitting
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SciML-Course
SciML-Course PublicJHU Course EN.560.652 - Scientific Machine Learning for Modeling, Optimization, and Control of Dynamical Systems
Python 8
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pnnl/L2O-pMINLP
pnnl/L2O-pMINLP PublicLearning-to-Optimize for Mixed-Integer Non-Linear Programming
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