Matches in SemOpenAlex for { <https://semopenalex.org/work/W2022286181> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W2022286181 endingPage "348" @default.
- W2022286181 startingPage "340" @default.
- W2022286181 abstract "Generally, system parameters that are nonlinear in the model output are estimated by nonlinear least-squares (NLS) optimization algorithms. As an alternative, for nonlinear discrete-time models with a so-called rational structure in input, output, and parameters, in this paper a method is proposed to re-parameterize the model such that the model becomes linear in its new parameters. Consequently, the new parameters can then be estimated by direct least-squares methods. However, most often the model becomes of the form Ax≈b, so that the parameter estimation problem becomes a so-called errors-in-variables (EIV) problem for which a total least-squares (TLS) approach provides a natural solution. Retrieving the predictor form after estimation leads to a nonlinear predictor that is based on the re-parameterized model with its original regressor functions so that prior system’s knowledge is preserved. The objective of this paper is (i) to show some properties of rational systems, which is illustrated to a biochemical example, (ii) to evaluate the estimation results and prediction performance of an original physical model estimated with NLS and re-parameterized models estimated with ordinary least-squares (OLS) and generalized TLS, with or without bias compensation. A storage facility, containing biological products and for which experimental data sets were available, is used here as a real life example." @default.
- W2022286181 created "2016-06-24" @default.
- W2022286181 creator A5016277575 @default.
- W2022286181 creator A5053389229 @default.
- W2022286181 date "2009-02-01" @default.
- W2022286181 modified "2023-09-26" @default.
- W2022286181 title "Direct least-squares estimation and prediction of rational systems: Application to food storage" @default.
- W2022286181 cites W1544351296 @default.
- W2022286181 cites W1980052382 @default.
- W2022286181 cites W2001166072 @default.
- W2022286181 cites W2003685167 @default.
- W2022286181 cites W2006860831 @default.
- W2022286181 cites W2008229822 @default.
- W2022286181 cites W2021816434 @default.
- W2022286181 cites W2044235108 @default.
- W2022286181 cites W2051199197 @default.
- W2022286181 cites W2061108336 @default.
- W2022286181 cites W2086998418 @default.
- W2022286181 cites W2098607102 @default.
- W2022286181 cites W2101396313 @default.
- W2022286181 cites W2109595144 @default.
- W2022286181 cites W2168135187 @default.
- W2022286181 cites W2590573503 @default.
- W2022286181 cites W2125225254 @default.
- W2022286181 doi "https://doi.org/10.1016/j.jprocont.2008.03.006" @default.
- W2022286181 hasPublicationYear "2009" @default.
- W2022286181 type Work @default.
- W2022286181 sameAs 2022286181 @default.
- W2022286181 citedByCount "10" @default.
- W2022286181 countsByYear W20222861812012 @default.
- W2022286181 countsByYear W20222861812015 @default.
- W2022286181 countsByYear W20222861812016 @default.
- W2022286181 countsByYear W20222861812019 @default.
- W2022286181 crossrefType "journal-article" @default.
- W2022286181 hasAuthorship W2022286181A5016277575 @default.
- W2022286181 hasAuthorship W2022286181A5053389229 @default.
- W2022286181 hasConcept C105795698 @default.
- W2022286181 hasConcept C11413529 @default.
- W2022286181 hasConcept C121332964 @default.
- W2022286181 hasConcept C126255220 @default.
- W2022286181 hasConcept C158622935 @default.
- W2022286181 hasConcept C165464430 @default.
- W2022286181 hasConcept C167928553 @default.
- W2022286181 hasConcept C185429906 @default.
- W2022286181 hasConcept C28826006 @default.
- W2022286181 hasConcept C33923547 @default.
- W2022286181 hasConcept C41008148 @default.
- W2022286181 hasConcept C45923927 @default.
- W2022286181 hasConcept C62520636 @default.
- W2022286181 hasConcept C9936470 @default.
- W2022286181 hasConcept C99656134 @default.
- W2022286181 hasConceptScore W2022286181C105795698 @default.
- W2022286181 hasConceptScore W2022286181C11413529 @default.
- W2022286181 hasConceptScore W2022286181C121332964 @default.
- W2022286181 hasConceptScore W2022286181C126255220 @default.
- W2022286181 hasConceptScore W2022286181C158622935 @default.
- W2022286181 hasConceptScore W2022286181C165464430 @default.
- W2022286181 hasConceptScore W2022286181C167928553 @default.
- W2022286181 hasConceptScore W2022286181C185429906 @default.
- W2022286181 hasConceptScore W2022286181C28826006 @default.
- W2022286181 hasConceptScore W2022286181C33923547 @default.
- W2022286181 hasConceptScore W2022286181C41008148 @default.
- W2022286181 hasConceptScore W2022286181C45923927 @default.
- W2022286181 hasConceptScore W2022286181C62520636 @default.
- W2022286181 hasConceptScore W2022286181C9936470 @default.
- W2022286181 hasConceptScore W2022286181C99656134 @default.
- W2022286181 hasIssue "2" @default.
- W2022286181 hasLocation W20222861811 @default.
- W2022286181 hasOpenAccess W2022286181 @default.
- W2022286181 hasPrimaryLocation W20222861811 @default.
- W2022286181 hasRelatedWork W1558955652 @default.
- W2022286181 hasRelatedWork W1973447931 @default.
- W2022286181 hasRelatedWork W2007823935 @default.
- W2022286181 hasRelatedWork W2022286181 @default.
- W2022286181 hasRelatedWork W2024293383 @default.
- W2022286181 hasRelatedWork W2360154135 @default.
- W2022286181 hasRelatedWork W2381388166 @default.
- W2022286181 hasRelatedWork W3021216525 @default.
- W2022286181 hasRelatedWork W4312475898 @default.
- W2022286181 hasRelatedWork W822214217 @default.
- W2022286181 hasVolume "19" @default.
- W2022286181 isParatext "false" @default.
- W2022286181 isRetracted "false" @default.
- W2022286181 magId "2022286181" @default.
- W2022286181 workType "article" @default.