PINNs-based-MPC
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Jonas-Nicodemus
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...
OCP-solving-time: 2.45e-01 s, this is one of the times needed to compute the MPC control input u when running the code on my device. I noticed that you set the...
In your code, the range specified for variables is only for initial condition or for entire movement?
Your code is really well written!! At the same time, I would like to ask about how the X and Y parameters (i.e. X_star and Y_star) in the data.npz file...
Hi, i have problems running the code. Seems to be soething with tensorflow. Have you had this issue? ``` 2023-11-03 10:42:15.612564: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use...
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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...