README.md

# ~~~
# This file is part of the paper:
#
#           " Two-stage model reduction approaches for the efficient
#         and certified solution of parametrized optimal control problems "
#
#   https://github.com/HenKlei/REDUCED-OPT-CONTROL.git
#
# Copyright 2024 all developers. All rights reserved.
# License: Licensed as BSD 2-Clause License (http://opensource.org/licenses/BSD-2-Clause)
# Authors:
#   Hendrik Kleikamp, Lukas Renelt
# ~~~

Optimal control of parametrized linear systems using greedy and reduced basis algorithms

In this repository, we provide the code used for the numerical experiments in our paper "Two-stage model reduction approaches for the efficient and certified solution of parametrized optimal control problems" by Hendrik Kleikamp and Lukas Renelt.

You find the preprint here.

Installation

On a system with git (sudo apt install git), python3 (sudo apt install python3-dev) and venv (sudo apt install python3-venv) installed, the following commands should be sufficient to install the ml-control package with all required dependencies in a new virtual environment:

git clone https://github.com/HenKlei/REDUCED-OPT-CONTROL.git
cd ml-control
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
pip install .

Running the experiments

To run the experiment shown in the paper, run the script cookies.py. A smaller cookies example with less time steps that runs in about 15 minutes on a standard laptop is provided in cookies_simplified.py.

Questions

If you have any questions, feel free to contact us via email at [email protected].