pyvrft
Virtual Reference Feedback Tuning Toolbox
Description
This Python toolbox provides commands to design feedback controllers using Virtual Reference Feedback Tuning. The toolbox implements SISO and MIMO controller design using standard least-squares estimation and instrumental variables.
Documentation
Documentation is available at https://pyvrft.net/.
Install
Use PIP to install:
pip install pyvrft
The package name on PyPI is pyvrft, but the Python import package is vrft.
Use
Please check the example folder. Basic use:
p = vrft.design(u, y, y, Td, C, L)
where u and y are input/output data, Td is the reference model, C describes the controller structure and L is a pre-filter.
Citation
The archived software release is available at https://doi.org/10.5281/zenodo.20602578. Related SoftwareX article: https://doi.org/10.1016/j.softx.2019.100383. For citation guidance, see https://pyvrft.net/citation/.
Contributors
Diego Eckhard - diegoeck@ufrgs.br - @diegoeck
Emerson Christ Boeira - emerson.boeira@ufrgs.br - @emersonboeira
2 maintainers
Metadata
2 maintainers
Release files for pyvrft 1.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| pyvrft-1.2.tar.gz | 10.9 kB | Without provenance | Details |
Release files / pyvrft-1.2.tar.gz
| Download URL | pyvrft-1.2.tar.gz |
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| Size | 10.9 kB |
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