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Document type:
Konferenzbeitrag 
Contribution type:
Textbeitrag / Aufsatz 
Author(s):
Rowold, M.; Wischnewski, A.; Lohmann, B. 
Title:
Constrained Bayesian Optimization of a Linear Feed-Forward Controller 
Pages contribution:
pp. 1-6 
Abstract:
Models of dynamic systems often contain uncertain parameters or do not describe all dynamics. In some cases, they cannot represent the plants accurately enough, which limits the achievable performance of model-based controller design. Learning-based controllers can adapt to the true parameters and cope with unmodeled dynamics. However, it must be ensured that an adaption does not cause the system to violate its physical or operating constraints, which could result in dangerous situations or harm...    »
 
Keywords:
bayesian optimization; learning algorithms; learning control; linear flters; non-causal flter; ingnon-parametric regression; parameter optimization 
Dewey Decimal Classification:
620 Ingenieurwissenschaften 
Book / Congress title:
IFAC Workshop on Adaptive and Learning Control Systems, ALCOS [13´th, 2019, Winchester, United Kingdom] 
Congress (additional information):
IFAC-PapersOnLine 
Volume:
Volume 52, Issue 29 
Edition:
Code 141968 
Organization:
IFAC 
Date of congress:
4. - 6.12.2019 
Publisher:
Elsevier B.V. 
Year:
2019 
Month:
Dec 
Covered by:
Scopus 
Bookseries ISSN:
24058963 
Reviewed:
ja 
Language:
en 
TUM Institution:
Lehrstuhl für Regelungstechnik