https://github.com/fhswf/paper-da-ieee-codit-2025

Paper IEEE CoDIT 2025 - Arend/Singh Padda/Schwung - "Online-adaptive PID control using Reinforcement Learning"
https://github.com/fhswf/paper-da-ieee-codit-2025

adaptive-control machine-learning mlpro online-machine-learning pid-control

Last synced: 5 months ago
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Paper IEEE CoDIT 2025 - Arend/Singh Padda/Schwung - "Online-adaptive PID control using Reinforcement Learning"

• Host: GitHub
• URL: https://github.com/fhswf/paper-da-ieee-codit-2025
• Owner: fhswf
• License: apache-2.0
• Created: 2025-01-09T06:26:32.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-07-22T20:39:34.000Z (11 months ago)
• Last Synced: 2025-09-05T11:48:55.979Z (9 months ago)
• Topics: adaptive-control, machine-learning, mlpro, online-machine-learning, pid-control
• Language: Python
• Homepage: https://www.researchgate.net/publication/388816787_Online-adaptive_PID_control_using_Reinforcement_Learning
• Size: 54.2 MB
• Stars: 3
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Citation: CITATION.cff

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README

          
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.14827652.svg)](https://doi.org/10.5281/zenodo.14827652)

# Paper IEEE CoDIT 2025 - Arend/Singh Padda/Schwung - "Online-adaptive PID control using Reinforcement Learning"

This repository provides the sample program described in Section _**V. RESULTS AND EXPERIMENTS**_ of the above conference paper.

## How to execute

Step 1: Install the required Python packages ([stable](requirements_stable.txt) or [latest](requirements_latest.txt))

Step 2: Execute the [sample program](src/experiment.py) and follow the hints on the screen [like this](video/window_arrangement.gif)

## Experiment with default parameters

![video](video/experiment.gif)

## Result data file

[result data file](results/cascaded_control_2025-03-20-04-33-18.csv)

## See also

[11th IEEE International Conference on Control, Decision and Information Technologies (CoDIT)](https://www.codit2025.org/)

[MLPro - the integrative middleware framework for standardized machine learning in Python](https://mlpro.readthedocs.io/)

[South Westphalia University of Applied Sciences, Dept. of Automation Technology and Learning Systems](https://www.fh-swf.de/de/forschung___transfer_4/labore_3/labs/labor_fuer_automatisierungstechnik__soest_1/standardseite_57.php)

## Contact us

Detlef Arend: [email](mailto:arend.detlef@fh-swf.de) | [orcid](https://orcid.org/0000-0002-8315-2346) | [researchgate](https://www.researchgate.net/profile/Detlef-Arend) | [linkedin](https://www.linkedin.com/in/detlef-arend-65170527b)

Amerik Toni Singh Padda: [email](mailto:amerik.singh13@gmail.com)

Andreas Schwung: [email](mailto:schwung.andreas@fh-swf.de) | [orcid](https://orcid.org/0000-0001-8405-0977) | [researchgate](https://www.researchgate.net/profile/Andreas-Schwung)