- Docente: Matthias Albrecht Muller
- Credits: 3
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Automation Engineering (cod. 8891)
Learning outcomes
In this course the most advanced methodology and technology aspects related to automation systems will be presented by internationally qualified experts in the field. The topic will change every year according to the international trend of the automation field.
Course contents
This lecture deals with Model Predictive Control (MPC), a modern optimization-based control technique which has been actively researched and widely applied in industry within the last years.
After an introduction to the basic ideas and stability concepts of MPC, more recent and current advances in research, like tube-based MPC considering robustness issues, economic MPC, distributed MPC, and stochastic MPC are discussed.
Readings/Bibliography
- J. B. Rawlings, D. Q. Mayne, and M. M. Diehl. Model Predictive Control:
Theory, Computation, and Design, 2nd Edition, Nob Hill Publishing, 2018. - L. Grüne and J. Pannek. Nonlinear Model Predictive Control: Theory and
Algorithms, 2nd Edition, Springer, 2017.
Teaching methods
- lectures
- programming exercises
Assessment methods
- programming project
Office hours
See the website of Matthias Albrecht Muller