Model predictive control

ME-425

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Welcome to Model Predictive Control


Exam 2025

Mini-Project

UPDATE DEC 13 : The whole project (seven parts) is now on github. Please make sure you pull to refresh.

During the last portion of the course, you will complete a mini-project in groups of one to three. The project is worth 40% of your final grade.

  1. Register your group under "Group for Mini-Project" below.
  2. Run the project following the instructions in "Project description"
  3. Write a report in the format and length given in "Project description"
  4. Submit the report and Python code on or before end of day on January 11th using "Hand-in for mini-project"

You're strongly encouraged to use the course time before the Christmas break to finish the project and to get help from the assistants. 

How to get help:

  • We will be monitoring and responding on EdDiscussion
  • We will be available in person during the course from 13h-17h on Friday, Dec 5th, 12th and 19th

It is common to have issues with software installation for the project (particularly students who haven't kept up with the assignments ;), which can result in significant delays in getting started. We can usually help you sort this quickly, so please come to the regular class sessions so we can help you with this.


Common Software Setup Errors

How to Get Help

There are three methods to interact with your colleagues, the professors and the TAs during the course:

In-person exercise sessions

Help on the exercises, lectures, or general MPC discussion is available on Fridays from 15h - 17h in CO-2 after the lectures.

Ed Discussion

Try and post questions and answers on Ed Discussion so that everyone can benefit from the discussion.


Email
You can always contact me at colin.jones@epfl.ch If you have a question, but please try to use Ed Discussion if possible so others can benefit.


Exercises and Software Setup

All the written exercise sets, computer exercises and software environment are available on the git here:

https://github.com/PREDICT-EPFL/MPC-Course-EPFL

Please follow the instructions on the github page above to setup your software environment.

Please pull the git regularly as we may update the software to fix any issues as the term proceeds.

Week 1: Introduction

In this first week, we will give a high-level introduction to what MPC is, why it's useful and some of the issues that we'll have to tackle this term in order to get it to work well on our systems.

Week 2: Unconstrained MPC

Week 3: Optimization

Week 4: Constrained control

Week 5: MPC

Week 6: Practical MPC

Week 7: Robust MPC

Week 8: Robust MPC II

Week 9

Week 10

Week 11

Week 12

Week 13

Week 14

Exercise Solutions

The assignments can be downloaded from Moodle below, and the schedule for when to do them is given in the weekly schedule above. Note that the assignments are not graded and do not need to be handed in, but that the mini-project is.

Study Material

Lectures

All the lectures are pre-recorded and are available online on the EPFL courseware platform.
The weekly video schedule is given on the MOOC and is approximately 90 min of lectures per week.

Please enroll in the MOOC here in order to view the videos.

The lectures are organized by week. You will need to have watched the videos for a given week before being able to do the exercise set of that week.

The slides used in the videos are given here below.

Lecture notes from invited speakers