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Modifier Adaptation for Real-Time Optimization - Methods and Applications

Marchetti, Alejandro; François, Grégory; Faulwasser, Timm 1; Bonvin, Dominique
1 Institut für Angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

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.

Volltext §
DOI: 10.5445/IR/1000064012
DOI: 10.3390/pr4040055
Zitationen: 89
Web of Science
Zitationen: 85
Zitationen: 88
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik (IAI)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2016
Sprache Englisch
Identifikator ISSN: 2227-9717
KITopen-ID: 1000064012
HGF-Programm 37.06.01 (POF III, LK 01) Networks and Storage Integration
Erschienen in Processes
Verlag MDPI
Band 4
Heft 4
Seiten 55
Schlagwörter real-time optimization; modifier adaptation; plant-model mismatch
Nachgewiesen in Web of Science
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