yongyuan2023 Goto Github PK
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yongyuan2023's Projects
deepkoopman
neural networks to learn Koopman eigenfunctions
pinns-based-mpc
We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-informed neural networks (PINNs) are a promising tool to approximate (partial) differential equations. PINNs are not suited for control tasks in their original form since they are not designed to handle variable contro
pykoopman
A package for computing data-driven approximations to the Koopman operator.
wf-deep-learning-aided-mpc-supplementary-material
The detailed simulator valiation against realistic measurement data, and the cases setting file
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