Title data
Grüne, Lars:
Dynamic programming, optimal control and model predictive control.
In: Raković, Saša V. ; Levine, William S.
(ed.):
Handbook of Model Predictive Control. -
Basel
: Birkhäuser
,
2018
. - pp. 29-52
ISBN 978-3-319-77489-3
DOI: https://doi.org/10.1007/978-3-319-77489-3_2
This is the latest version of this item.
Related URLs
Project information
Project financing: |
Deutsche Forschungsgemeinschaft |
---|
Abstract in another language
We give a survey of recent results on approximate optimality and stability of closed loop trajectories generated by model predictive control (MPC). Both stabilizing and economic MPC are considered and both schemes with and without terminal conditions are analyzed. A particular focus of the chapter is to highlight the role dynamic programming plays in this analysis. As we will see, dynamic programming arguments are ubiquitous in the analysis of MPC schemes.
Further data
Available Versions of this Item
-
Dynamic programming, optimal control and model predictive control. (deposited 07 Oct 2017 21:00)
- Dynamic programming, optimal control and model predictive control. (deposited 06 Sep 2018 06:12) [Currently Displayed]