Comparison of Gradient Estimation Methods for Real-time Optimization
Various real-time optimization techniques proceed by controlling the gradient to zero. These methods primarily differ in the way the gradient is estimated. This paper compares various gradient estimation methods. It is argued that methods with model-based gradient estimation converge faster but can be inaccurate in the presence of plant-model mismatch. In contrast, model-free methods are accurate but typically take longer to converge.
Editor(s):
Pistikopoulos, E. N.
Georgiadis, M. C.
Kokossis, A. C.
Published in:
21st European Symposium on Computer Aided Process Engineering - ESCAPE 21, A, 607-611
Presented at:
21st European Symposium on Computer Aided Process Engineering - ESCAPE 21, Chalkidiki, Greece, May 29 - June 1, 2011
Publisher:
Oxford, U.K., Elsevier
ISBN:
978-0-444-53711-9
Keywords:
Laboratories:
Record created 2010-11-22, last modified 2018-10-01
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