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Title:

Constrained Bayesian Optimization of a Linear Feed-Forward Controller

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Rowold, M.; Wischnewski, A.; Lohmann, B.
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
Fulltext / DOI:
doi:10.1016/j.ifacol.2019.12.612
WWW:
https://www.sciencedirect.com/science/article/pii/S2405896319325546
TUM Institution:
Lehrstuhl für Regelungstechnik
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