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Modifier Adaptation for Real-Time Optimization - Methods and Applications

Marchetti, Alejandro; François, Grégory; Faulwasser, Timm; Bonvin, Dominique

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.

Zugehörige Institution(en) am KIT Institut für Angewandte Informatik (IAI)
Publikationstyp Zeitschriftenaufsatz
Jahr 2016
Sprache Englisch
Identifikator DOI: 10.3390/pr4040055
ISSN: 2227-9717
URN: urn:nbn:de:swb:90-640126
KITopen ID: 1000064012
HGF-Programm 37.06.01; LK 01
Erschienen in Processes
Band 4
Heft 4
Seiten 55
Bemerkung zur Veröffentlichung Lizenz: Dieses Werk ist lizenziert unter CC BY 4.0 International
Schlagworte real-time optimization; modifier adaptation; plant-model mismatch
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