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  4. Teaching MPC : which way to the promised land?
 
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Teaching MPC : which way to the promised land?

Publikationstyp
Conference Paper
Date Issued
2021-07-01
Sprache
English
Author(s)
Faulwasser, Timm  
Lucia, Sergio  
Schulze Darup, Moritz  
Mönnigmann, Martin  
TORE-URI
https://hdl.handle.net/11420/46158
Journal
IFAC-PapersOnLine  
Volume
54
Issue
6
Start Page
238
End Page
243
Citation
IFAC-PapersOnLine 54 (6): 238-243 (2021)
Contribution to Conference
7th IFAC Conference on Nonlinear Model Predictive Control, NMPC 2021  
Publisher DOI
10.1016/j.ifacol.2021.08.551
Scopus ID
2-s2.0-85117959458
Publisher
IFAC
Since the earliest conceptualizations by Lee and Markus, and Propoi in the 1960s, Model Predictive Control (MPC) has become a major success story of systems and control with respect to industrial impact and with respect to continued and wide-spread research interest. The field has evolved from conceptually simple linear-quadratic (convex) settings in discrete and continuous time to nonlinear and distributed settings including hybrid, stochastic, and infinite-dimensional systems. Put differently, essentially the entire spectrum of dynamic systems can be considered in the MPC framework with respect to both—system theoretic analysis and tailored numerics. Moreover, recent developments in machine learning also leverage MPC concepts and learning-based and data-driven MPC have become highly active research areas. However, this evident and continued success renders it increasingly complex to live up to industrial expectations while enabling graduate students for state-of-the-art research in teaching MPC. Hence, this position paper attempts to trigger a discussion on teaching MPC. To lay the basis for a fruitful debate, we subsequently investigate the prospect of covering MPC in undergraduate courses; we comment on teaching textbooks; and we discuss the increasing complexity of research-oriented graduate teaching of MPC.
Subjects
Model Predictive Control
Teaching
DDC Class
004: Computer Sciences
370: Education
510: Mathematics
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