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  4. On Handling Cost Gradient Uncertainty in Real-Time Optimization
 
conference paper

On Handling Cost Gradient Uncertainty in Real-Time Optimization

Singhal, Martand  
•
Faulwasser, Timm  
•
Bonvin, Dominique  
2015
IFAC-PapersOnLine
9th International Symposium on Advanced Control of Chemical Processes (ADCHEM)

This paper deals with the real-time optimization of uncertain plants and proposes an approach based on surrogate models to reach the plant optimum when the plant cost gradient is imperfectly known. It is shown that, for processes with only box constraints, the optimum is reached upon convergence if the multiplicative gradient uncertainty lies within some bounded interval. For the case of general constraints, conditions are derived that guarantee plant feasibility and, in principle, allow enforcing cost decrease at each iteration.

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Type
conference paper
DOI
10.1016/j.ifacol.2015.08.177
Author(s)
Singhal, Martand  
Faulwasser, Timm  
Bonvin, Dominique  
Date Issued

2015

Published in
IFAC-PapersOnLine
Volume

48

Issue

8

Start page

176

End page

181

Subjects

real-time optimization

•

gradient uncertainty

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LA  
Event nameEvent placeEvent date
9th International Symposium on Advanced Control of Chemical Processes (ADCHEM)

Whistler, BC, Canada

June 7-10, 2015

Available on Infoscience
November 20, 2014
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/108996
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