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Twin-in-the-Loop observer tuning via gradient-information Bayesian optimization with line search

; ; ; ; ;

In
Bayesian optimization for data-driven modeling, optimization and control: Towards enhancing performance, efficiency, and sustainability in industrial, energy and biomedical systems / Guest Editors: Prof. Dr. Alisa Rupenyan, Dr. Mohammad Khosravi, Assoc. Professor Ali Mesbah

In
Control engineering practice 172, Seiten/Artikel-Nr.:106891

ImpressumAmsterdam [u.a.] : Elsevier Science

Umfang[1]-12

ISSN1873-6939

Online
DOI: 10.1016/j.conengprac.2026.106891


Einrichtungen

  1. Lehrstuhl für Data Science im Maschinenbau (422610)


Thematische Einordnung (Klassifikation)
DDC: 620


Dokumenttyp
Journal Article/Contribution to a book

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105032050328
WOS Core Collection: WOS:001712441500001

Interne Identnummern
RWTH-2026-03409
Datensatz-ID: 1032297

Beteiligte Länder
Germany, Italy

Lizenzstatus der Zeitschrift

 GO


Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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The record appears in these collections:
Document types > Books > Contributions to a book
Document types > Articles > Journal Articles
Faculty of Mechanical Engineering (Fac.4)
Public records
Publications database
422610

 Record created 2026-03-23, last modified 2026-03-24



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