Modifier adaptation for real-time optimization : methods and applications

Publikationstyp
Review Article
Date Issued
2016-12-01
Sprache
English
Author(s)
Marchetti, Alejandro  
François, Grégory
Faulwasser, Timm  
Bonvin, Dominique  
TORE-URI
https://hdl.handle.net/11420/46216
Journal
Processes  
Volume
4
Issue
4
Article Number
55
Citation
Processes 4 (4): 55 (2016)
Publisher DOI
10.3390/pr4040055
Scopus ID
2-s2.0-85031806559
Publisher
MDPI
This paper presents an overview of the recent developments of modifier-adaptation schemes for real-time optimization of uncertain processes. These schemes have the ability to reach plant optimality upon convergence despite the presence of structural plant-model mismatch. Modifier Adaptation has its origins in the technique of Integrated System Optimization and Parameter Estimation, but differs in the definition of the modifiers and in the fact that no parameter estimation is required. This paper reviews the fundamentals of Modifier Adaptation and provides an overview of several variants and extensions. Furthermore, the paper discusses different methods for estimating the required gradients (or modifiers) from noisy measurements. We also give an overview of the application studies available in the literature. Finally, the paper briefly discusses open issues so as to promote future research in this area.
Subjects
Modifier adaptation
Plant-model mismatch
Real-time optimization
DDC Class
004: Computer Sciences
621: Applied Physics