Coursebooks

Caution, these contents corresponds to the coursebooks of last year


Model predictive control

ME-425

Lecturer(s) :

Jones Colin Neil

Language:

English

Remarque

pas donné en 2018-19

Summary

Provide an introduction to the theory and practice of Model Predictive Control (MPC). Main benefits of MPC: flexible specification of time-domain objectives, performance optimization of highly complex multivariable systems and ability to explicitly enforce constraints on system behavior.

Content

Keywords

Multi-variable control, Constrained systems, Model-based Control, Optimization

Learning Prerequisites

Required courses

Recommended courses

Important concepts to start the course

Learning Outcomes

By the end of the course, the student must be able to:

Transversal skills

Teaching methods

Lectures, exercises and course project

Expected student activities

Assessment methods

Supervision

Office hours No
Assistants Yes
Forum No

Resources

Bibliography

All material can be downloaded from the moodle site. Printed versions of the lecture notes can be ordered.

Websites
Moodle Link

In the programs

Reference week

 MoTuWeThFr
8-9     
9-10     
10-11     
11-12     
12-13     
13-14   BS270 
14-15    
15-16   BS270 
16-17     
17-18     
18-19     
19-20     
20-21     
21-22     
 
      Lecture
      Exercise, TP
      Project, other

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  • Autumn semester
  • Winter sessions
  • Spring semester
  • Summer sessions
  • Lecture in French
  • Lecture in English
  • Lecture in German