Performance-Oriented-DNN-MPC

This repository contains code used in the paper <insert title> by <insert authors>. The full paper can be found here: <insert link>.

Overview of files

Detailed documentation for the code can be found in the text cells of the Jupyter notebooks. Here, we provide a short overview of the files.

main.ipynb: This is the main file that builds the optimal control problem (OCP) and then solves it in closed-loop, yielding the required model predictive controller (MPC).
ResNet.ipynb : @George, please add a short description.
ResNetExplicit : @George, please add a short description.

Name		Name	Last commit message	Last commit date
Latest commit History 32 Commits
.ipynb_checkpoints		.ipynb_checkpoints
README.md		README.md
Xdata.csv		Xdata.csv
Ydata.csv		Ydata.csv
case_study.ipynb		case_study.ipynb
identification_transfer.ipynb		identification_transfer.ipynb
main.ipynb		main.ipynb
neural_network.ipynb		neural_network.ipynb
weights_initialization.npy		weights_initialization.npy