Economic model predictive control: Some design tools and analysis techniques
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Accepted version
Author(s)
Angeli, David
Muller, Matthias
Type
Chapter
Abstract
In recent years, Economic Model Predictive Control has emerged as a variant of traditional (tracking) MPC which aims at maximizing economic profitability by directly minimizing, over a receding prediction horizon, the costs incurred in system’s operation. Several design alternatives have been proposed in the literature, as well as suitable tools for the analysis of stability and performance of the different design methods. This note provides the authors’ perspective on some of the most relevant results that appeared within this framework as well as, for interested readers, references to the technical papers where such results have first been discussed.
Editor(s)
Rakovic, Sasa V
Levine, William S
Date Issued
2018-09-01
Citation
Handbook of Model Predictive Control, 2018, pp.145-167
ISBN
9783319774886
3319774883
Publisher
Springer
Start Page
145
End Page
167
Journal / Book Title
Handbook of Model Predictive Control
Control Engineering
Copyright Statement
© Springer International Publishing AG, part of Springer Nature 2019. The final publication is available at Springer via https://doi.org/10.1007/978-3-319-77489-3_7
Identifier
https://link.springer.com/chapter/10.1007/978-3-319-77489-3_7
Subjects
Science
Publication Status
Published
Date Publish Online
2018-09-01