Mirrors_Framework/RBF-aPID-Controller
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Added note clarifying simulation data.

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Andru Liu
2024-10-09 00:26:13 -07:00
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README.md
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@@ -11,7 +11,8 @@ To adapt the PID gains instead of the control signal in TF, the network outputs
must be made to 3 neurons and added to the gains. In Numpy, the gains will need to must be made to 3 neurons and added to the gains. In Numpy, the gains will need to
be added to inputs and the adapted signal added to the gains. be added to inputs and the adapted signal added to the gains.
Example usage with simulated data can be found in [first_order_sim.py](first_order_sim.py). Tests Example usage with simulated data can be found in [first_order_sim.py](first_order_sim.py).
Training data was simulated using the model itself for the TF Trained example. Tests
to be added. to be added.
### C++ Implementation ### C++ Implementation
@@ -27,7 +28,7 @@ management handled manually as the system it was designed for could not import a
Example usage with simulated data can be found in [main.cpp](/CPP_Implementation/main.cpp). Example usage with simulated data can be found in [main.cpp](/CPP_Implementation/main.cpp).
It includes some additional libraries in order to show an example usage with a simple first It includes some additional libraries in order to show an example usage with a simple first
order simulation. order simulation. Training data was not simulated for the trained example, fake inputs were made.
The project doesn't currently implement a CMake build as it was pulled from a greater build implementation. Tests for The project doesn't currently implement a CMake build as it was pulled from a greater build implementation. Tests for
the adaptive PID controller and RBF model are included using gtest.\ the adaptive PID controller and RBF model are included using gtest.\