rssalessio / ddcontrol

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Data Driven Control Library

Data Driven Control Library written in Python. Aim of this library is to provide an implementation of data driven algorithms, such as:

  • Virtual Reference Feedback Tuning (VRFT)
  • Methods based on Willems' lemma.

The VRFT code is based on the last stable version of the following repository (https://github.com/rssalessio/PythonVRFT)

Author: Alessio Russo (PhD Student at KTH - alessior@kth.se)

License

Our code is released under theMITlicense (refer to the LICENSE file for details).

Requirements

To run the library you need atleast Python 3.5.

Other dependencies:

  • NumPy (1.19.5)
  • SciPy (1.6.0)

Installation

  • Install from source: git clone this repo and from the root folder execute the command pip install .

Usage/Examples

TBD

Tests

To execute tests run the following command from the root folder of the repo

python -m unittest

Changelog

Citations

License: MIT

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License:MIT License


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