Metadata-Version: 2.1
Name: clspc
Version: 1.0.1
Summary: A Python implementation of closed-loop subspace predictive control
License: MIT
Author: Bert Van den Abbeele
Requires-Python: >=3.10
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Dist: cvxopt (>=1.3.2)
Requires-Dist: numpy (>=2.1.1)
Requires-Dist: scipy (>=1.14.1)
Description-Content-Type: text/markdown

# clspc

This package contains a Python implementation of a siso closed-loop subspace predictive control algorithm. Read the [documentation](https://python-closed-loop-subspace-predictive-control.readthedocs.io/en/latest/science.html) for more information about the algorithm and implementation details.

## Installation

`clspc` is built using Python 3.10 and can be installed using pip:

```bash
$ pip install clspc
```

## Usage

- TODO

## Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

## License

`clspc` was created by Bert Van den Abbeele. It is licensed under the terms of the MIT license.

## Credits

`clspc` was created with [`cookiecutter`](https://cookiecutter.readthedocs.io/en/latest/) and the `py-pkgs-cookiecutter` [template](https://github.com/py-pkgs/py-pkgs-cookiecutter).

