Pycollo, a combination of 'Python' and 'collocation', is a Python package for solving multiphase optimal control problems using direct orthogonal collocation.
This project is currently a work in progress and detailed instructions to get new users up and running are not yet available. Some working examples can be found in the examples directory.
The easiest way to install pycollo is using the Anaconda Python distribution and its included Conda package management system. To install pycollo and its required dependencies, enter the following command at a command prompt:
conda install pycolloTo install using pip, enter the following command at a command prompt:
pip install pycolloFor more information, refer to the installation documentation.
Pycollo is currently under development. Major code refactors, including significant API changes, are likely. As such contributions may not be readily accepted at this time. If you are keen to contribute, please contact the authors by email or file an issue on the issue tracker detailing how you would like to get involved.
- Issue Tracker: https://github.com/brocksam/pycollo/issues
- Source Code: https://github.com/brocksam/pycollo
This project is licensed under the terms of the MIT license.
- Sam Brockie - sgb39@cam.ac.uk
If you have used Pycollo in your research, please cite it in your publications as:
Brockie, S. G. (2021). Predictive Simulation of Musculoskeletal Models Using Direct Collocation PhD Thesis, University of Cambridge.
The equivalent BibTeX entry is:
@phdthesis{Brockie2021,
title={Predictive Simulation of Musculoskeletal Models Using Direct Collocation},
author={Brockie, Samuel George},
year={2021},
school={University of Cambridge}
}