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Mini-Workshop : Analysis of Data-driven Optimal Control

Title data

Grüne, Lars ; Morris, Kirsten Anna:
Mini-Workshop : Analysis of Data-driven Optimal Control.
In: Oberwolfach Reports. Vol. 18 (2021) Issue 2 . - pp. 1209-1257.
ISSN 1660-8941
DOI: https://doi.org/10.4171/OWR/2021/23

Official URL: Volltext

Abstract in another language

This hybrid mini-workshop discussed recent mathematical methods for analyzing the opportunities and limitations of data-driven and machine-learning approaches to optimal feedback control. The analysis concerned all aspects of such approaches, ranging from approximation theory particularly for high-dimensional problems via complexity analysis of algorithms to robustness issues.

Further data

Item Type: Article in a journal
Refereed: No
Keywords: Optimal Control; Machine Learning; Data-Driven Methods in Control
Subject classification: MSC Subject Classification: 47D06, 49L12, 93B52, 93D09
Institutions of the University: Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics)
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics) > Chair Mathematics V (Applied Mathematics) - Univ.-Prof. Dr. Lars Grüne
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Applied Mathematics
Profile Fields
Profile Fields > Advanced Fields > Nonlinear Dynamics
Profile Fields > Advanced Fields
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 510 Mathematics
Date Deposited: 22 Nov 2023 09:12
Last Modified: 22 Nov 2023 09:12
URI: https://eref.uni-bayreuth.de/id/eprint/87828