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conference paper
Comparison of Gradient Estimation Methods for Real-time Optimization
2011
21st European Symposium on Computer Aided Process Engineering - ESCAPE 21
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.
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Name
gradients_escape21.pdf
Type
Publisher's version
Access type
openaccess
Size
1.86 MB
Format
Adobe PDF
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