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conference paper

Model Parameterization Tailored to Real-Time Optimization

Chachuat, B.
•
Srinivasan, B.  
•
Bonvin, D.  
2008
Computer Aided Chemical Engineering
18th European Symposium on Computer Aided Process Engineering – ESCAPE 18

Challenges in real-time process optimization mainly arise from the inability to build and adapt accurate models for complex physico-chemical processes. This paper surveys different ways of using measurements to compensate for model uncertainty in the context of process optimization. Three approaches can be distinguished according to the quantities that are adapted: model- parameter adaptation updates the parameters of the process model and repeats the optimization, modifier adaptation modifies the constraints and gradients of the optimization problem and repeats the optimization, while direct input adaptation turns the optimization problem into a feedback control problem and implements optimality via tracking of the necessary conditions of optimality. This paper argues in favor of modifier adaptation, since it uses a model parameterization, measurements, and an update criterion that are well tailored to meeting the KKT conditions of optimality.

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Type
conference paper
DOI
10.1016/S1570-7946(08)80004-1
Web of Science ID

WOS:000287713600001

Author(s)
Chachuat, B.
Srinivasan, B.  
Bonvin, D.  
Date Issued

2008

Published in
Computer Aided Chemical Engineering
Start page

1

End page

13

Subjects

Measurement-based optimization

•

Real-time optimization

•

Plant-model mismatch

•

Model adaptation

•

Model parameterization

Note

Plenary lecture

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LA  
Event nameEvent placeEvent date
18th European Symposium on Computer Aided Process Engineering – ESCAPE 18

Lyon

June 2008

Available on Infoscience
September 25, 2008
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/29678
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