Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Conferences, Workshops, Symposiums, and Seminars
  4. Comparison of Gradient Estimation Methods for Real-time Optimization
 
conference paper

Comparison of Gradient Estimation Methods for Real-time Optimization

Srinivasan, Bala  
•
François, Grégory  
•
Bonvin, Dominique  
Pistikopoulos, E. N.
•
Georgiadis, M. C.
Show more
2011
21st European Symposium on Computer Aided Process Engineering - ESCAPE 21
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.

  • Files
  • Details
  • Metrics
Loading...
Thumbnail Image
Name

gradients_escape21.pdf

Type

Publisher's Version

Version

http://purl.org/coar/version/c_970fb48d4fbd8a85

Access type

openaccess

Size

1.86 MB

Format

Adobe PDF

Checksum (MD5)

d2917029ccccca2bc84458b302c618b6

Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés