REDPC: A Real-time Efficient approximate DeePC

Python version

The code is tested with Python 3.10

Installation

pip install -r requirements.txt
git clone git@github.com:zhou-yh19/PyDeePC.git
cd PyDeePC
pip install -e .

Code structure

• src/modules: PyTorch modules for approximating the scoring function
• src/scripts: Scripts for data augmentation, and computing different scoring function
• src/utils: Utility functions (customized PyTorch operations, tensor operations, etc.)
• src/train.py: Training script for the scoring function
• src/grid_train_one_gpu.py: Training script for the scoring function on a single GPU
• experiments: Sample scripts for running experiments
• test: julia scripts for testing solver

License

The project is released under the MIT license. See LICENSE for details.

Part of the project is modified from PyDeePC