• norsk
    • English
  • English 
    • norsk
    • English
  • Login
View Item 
  •   Home
  • Fakultet for naturvitenskap (NV)
  • Institutt for kjemisk prosessteknologi
  • View Item
  •   Home
  • Fakultet for naturvitenskap (NV)
  • Institutt for kjemisk prosessteknologi
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

A New Static Estimator Based on Self-Optimizing Theory

Grimholt, Chriss
Master thesis
Thumbnail
View/Open
629178_COVER01.pdf (46.76Kb)
629178_FULLTEXT01.pdf (758.8Kb)
URI
http://hdl.handle.net/11250/248358
Date
2011
Metadata
Show full item record
Collections
  • Institutt for kjemisk prosessteknologi [1674]
Abstract
This thesis compares the performance of the new static model based esti- mator proposed by Skogestad et al. (2011) with least squares (LS), principal component regression (PCR), and partial least squares (PLS) estimators on a linear, binary, and multicomponent distillation example. The performance is classified into two categories: “open-loop” performance (estimator used for monitoring) and “closed-loop” performance (estimator used for control). The new estimator is derived from a regression point of view, and it is shown that this estimator is optimal for “closed-loop” estimation. Skogestad et al. (2011) also presented a method called loss regression for applying the new estima- tor on data. This thesis shows that this estimator is sensitive to noise and collinearity, and a new improved method called the truncated "closed-loop" method (truncated CLM) is proposed. It is found that the new estimator and the truncated CLM have better “closed-loop” performance, but worse “open- loop” performance than LS, PCR and PLS.
Publisher
Institutt for kjemisk prosessteknologi

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit
 

 

Browse

ArchiveCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsDocument TypesJournalsThis CollectionBy Issue DateAuthorsTitlesSubjectsDocument TypesJournals

My Account

Login

Statistics

View Usage Statistics

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit