Gast ::
| Hauptseite > Workflowsammlungen > Publikationsgebühren > Optimal experimental design for optimal process design: A trilevel optimization formulation > print |
| Hauptseite > Workflowsammlungen > Publikationsgebühren > Optimal experimental design for optimal process design: A trilevel optimization formulation > print |
| 001 | 865633 | ||
| 005 | 20240712112901.0 | ||
| 024 | 7 | _ | |a 10.1002/aic.16788 |2 doi |
| 024 | 7 | _ | |a 0001-1541 |2 ISSN |
| 024 | 7 | _ | |a 1547-5905 |2 ISSN |
| 024 | 7 | _ | |a 2128/23750 |2 Handle |
| 024 | 7 | _ | |a WOS:000488268000001 |2 WOS |
| 037 | _ | _ | |a FZJ-2019-04984 |
| 082 | _ | _ | |a 660 |
| 100 | 1 | _ | |a Walz, Olga |0 P:(DE-HGF)0 |b 0 |
| 245 | _ | _ | |a Optimal experimental design for optimal process design: A trilevel optimization formulation |
| 260 | _ | _ | |a Hoboken, NJ |c 2020 |b Wiley |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1576839024_15041 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a Typical optimal experimental design (OED) methods aim at minimizing the covariance matrix of the estimated parameters regardless of the intended application of the model that is being estimated. This can unnecessarily increase the experimental costs. Herein, we propose a new OED method, which tailors the designed experiments to the model application. The method is demonstrated for model‐based process design and aims at mitigating a worst‐case realization of the process design. The proposed formulation results in a min–max–min problem and is based on bounded‐error OED. The method is illustrated via an ad hoc solution method using two examples, a simple illustrative example and the van de Vusse reaction, that show the differences between typical and the new tailored OED method: experimental designs can be considered good using the latter method, while the same design would be considered bad with the former methods. |
| 536 | _ | _ | |a 899 - ohne Topic (POF3-899) |0 G:(DE-HGF)POF3-899 |c POF3-899 |f POF III |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef |
| 700 | 1 | _ | |a Djelassi, Hatim |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Mitsos, Alexander |0 P:(DE-Juel1)172025 |b 2 |e Corresponding author |
| 773 | _ | _ | |a 10.1002/aic.16788 |0 PERI:(DE-600)2020333-0 |n 1 |p e16788 |t AIChE journal |v 66 |y 2020 |x 0001-1541 |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/865633/files/Walz_et_al-2019-AIChE_Journal.pdf |
| 856 | 4 | _ | |y OpenAccess |x pdfa |u https://juser.fz-juelich.de/record/865633/files/Walz_et_al-2019-AIChE_Journal.pdf?subformat=pdfa |
| 909 | C | O | |o oai:juser.fz-juelich.de:865633 |p openaire |p open_access |p OpenAPC_DEAL |p driver |p VDB |p openCost |p dnbdelivery |
| 910 | 1 | _ | |a RWTH Aachen |0 I:(DE-588b)36225-6 |k RWTH |b 0 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a RWTH Aachen |0 I:(DE-588b)36225-6 |k RWTH |b 1 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)172025 |
| 910 | 1 | _ | |a RWTH Aachen |0 I:(DE-588b)36225-6 |k RWTH |b 2 |6 P:(DE-Juel1)172025 |
| 913 | 1 | _ | |a DE-HGF |b Programmungebundene Forschung |l ohne Programm |1 G:(DE-HGF)POF3-890 |0 G:(DE-HGF)POF3-899 |2 G:(DE-HGF)POF3-800 |v ohne Topic |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |
| 914 | 1 | _ | |y 2019 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1160 |2 StatID |b Current Contents - Engineering, Computing and Technology |
| 915 | _ | _ | |a Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0 |0 LIC:(DE-HGF)CCBYNCND4 |2 HGFVOC |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b AICHE J : 2017 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0110 |2 StatID |b Science Citation Index |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0111 |2 StatID |b Science Citation Index Expanded |
| 915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |
| 915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)IEK-10-20170217 |k IEK-10 |l Modellierung von Energiesystemen |x 0 |
| 980 | 1 | _ | |a APC |
| 980 | 1 | _ | |a FullTexts |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)IEK-10-20170217 |
| 980 | _ | _ | |a APC |
| 981 | _ | _ | |a I:(DE-Juel1)ICE-1-20170217 |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|