Feedback Control

The course provides an extensive foundation in control engineering, covering both theoretical concepts and practical applications.

It is for second-year undergraduate students and anyone interested in understanding the principles of automatic controls.

Teaching semester: Spring 2024

Language of instruction: Italian and English

Course coordinator

Andrea Munafo

Lecturer(s)

Andrea Munafo

How to use

Each notebook is thought to be independent from every other, so it is possible to run them in any order you prefer.

Install

The notebooks run with python 3.9 and use the following python libraries: - python control - numpy - pandas - matplotlib

You can optionally install ‘sympy’ to do symbolic computations in Python.

Notebook 01_Getting_started_with_Python_and_Jupyter_Notebook.ipynb provides a short introduction on how to set up an anaconda environment to get you started.

To use all notebooks you might need to install the feedback control package. You can do this entering this into your terminal:

pip install -e '.[dev]'

This is the recommended way to make a Python package importable from anywhere in your current environment:

  • -e – short for “editable”, lets you immediately use changes made to your package during development.
  • . – refers to the current directory.
  • [dev] – includes “development” requirements: other packages that your notebooks use solely for documentation or testing.

Acknowledgements and references

  • Relevant textbooks used to prepare these notebooks are reported in 00_Syllabus.ipynb.

Additional resources