مورد إلكتروني
Robust optimization with optimal experiment design - with application to continuous biopharmaceutical production
| العنوان: | Robust optimization with optimal experiment design - with application to continuous biopharmaceutical production |
|---|---|
| بيانات النشر: | KTH, Reglerteknik KTH, Industriell bioteknologi AdBIOPRO, Competence Ctr Adv Bioprod Continuous Proc, Stockholm, Sweden. AdBIOPRO, Competence Ctr Adv Bioprod Continuous Proc, Stockholm, Sweden. AdBIOPRO, Competence Ctr Adv Bioprod Continuous Proc, Stockholm, Sweden. AdBIOPRO, Competence Ctr Adv Bioprod Continuous Proc, Stockholm, Sweden. AdBIOPRO, Competence Ctr Adv Bioprod Continuous Proc, Stockholm, Sweden. Elsevier BV 2022 |
| تفاصيل مُضافة: | Wang, Yu Pasquini, Mirko Chotteau, Véronique Hjalmarsson, Håkan Jacobsen, Elling W. |
| نوع الوثيقة: | Electronic Resource |
| مستخلص: | Model-based optimization typically obtains the optimum based on a nominal identified model. However, in the presence of uncertainty, the nominal optimum leads to suboptimal operating conditions that furthermore can be highly sensitive to uncertainties. Hence, uncertainty should be considered in the optimization and, furthermore, experiments should be designed to reduce the uncertainty most important for optimization. Herein, we propose a general framework that combines model-based robust optimization with optimal experiment design. The proposed framework can take advantage of prior knowledge in the form of a mechanistic model structure, and the importance of this is demonstrated by comparing to more standard black-box models typically employed in learning. Through optimal experiment design, we repeatedly reduce uncertainties in the region where the likelihood of improvement on the worst-case performance is maximized This makes the proposed method an efficient model-based robust optimization framework, especially with limited experiment resources. The effectiveness of the method is illustrated by a cell culture development example in continuous biopharmaceutical production. QC 20221128 |
| مصطلحات الفهرس: | Robust optimization, experiment design, identification for optimization, bioproduction, Control Engineering, Reglerteknik, Conference paper, info:eu-repo/semantics/conferenceObject, text |
| DOI: | 10.1016.j.ifacol.2022.07.450 |
| URL: | IFAC PAPERSONLINE, p. 234-241 |
| الإتاحة: | Open access content. Open access content info:eu-repo/semantics/restrictedAccess |
| ملاحظة: | English |
| أرقام أخرى: | UPE oai:DiVA.org:kth-321975 0000-0002-6182-9299 0000-0002-5370-4621 0000-0002-9368-3079 doi:10.1016/j.ifacol.2022.07.450 ISI:000876128600038 Scopus 2-s2.0-85137038831 1372250052 |
| المصدر المساهم: | UPPSALA UNIV LIBR From OAIster®, provided by the OCLC Cooperative. |
| رقم الأكسشن: | edsoai.on1372250052 |
| قاعدة البيانات: | OAIster |
| DOI: | 10.1016.j.ifacol.2022.07.450 |
|---|