Theoretical advances on Economic Model Predictive Control with time-varying costs
File(s)annualrevspecissue_v3.pdf (259.25 KB)
Accepted version
Author(s)
Angeli, D
Casavola, A
Tedesco, F
Type
Journal Article
Abstract
Economic Model Predictive Control is a technique for optimization of economic revenues arising from controlled dynamical processes that has established itself as a variant of standard Tracking Model Predictive Control. It departs from the latter in that arbitrary cost functions are allowed in the formulation of the stage cost. This paper takes a further step in expanding the applicability of Economic Model Predictive Control by illustrating how the paradigm can be adapted in order to accommodate time-varying or parameter-varying costs.
Date Issued
2016-05-25
Date Acceptance
2016-03-05
Citation
Annual Reviews in Control, 2016, 41, pp.218-224
ISSN
1872-9088
Publisher
Elsevier
Start Page
218
End Page
224
Journal / Book Title
Annual Reviews in Control
Volume
41
Copyright Statement
© 2016 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Subjects
Industrial Engineering & Automation
0906 Electrical And Electronic Engineering
Publication Status
Published