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General-purpose optimal control, trajectory optimisation and parameter optimisation using direct collocation

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Pycollo

Pycollo, a combination of 'Python' and 'collocation', is a Python package for solving multiphase optimal control problems using direct orthogonal collocation.

Getting Started

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.

Installation

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 pycollo

To install using pip, enter the following command at a command prompt:

pip install pycollo

For more information, refer to the installation documentation.

Contribute

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.

License

This project is licensed under the terms of the MIT license.

Authors

Citation

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}
}

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General-purpose optimal control, trajectory optimisation and parameter optimisation using direct collocation

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