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Intelligent-Hybrid_Control

This repository contains a simplified implementation of Erik Berger et al 2014 . It aims to employ Dynamic Mode Decomposition to detect and estimate external disturbaces acting on a robot during a task. Here you can find the application on a 2R planar robot subject to gravity.

This project was realized to complete the exam of Intelligent & Hybrid control, MS Control Engineering, Sapienza University of Rome, ay 2022/2023

To execute the code follow the following istructions

  • First install the repository
git clone https://github.com/STaliani/Intelligent-Hybrid_Control.git
  • Then create and activate the environment
cd Intelligent-Hybrid_Control
conda config --add channels conda-forge # if you don't have the conda-forge channel already
mamba env create -f environment.yml
conda activate ihc_project
pip install .
  • Last run the python script
python run/run.py

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Disturbance detection, robotics, dynamic mode decomposition

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