Mini-Workshop: Analysis of Data-driven Optimal Control (hybrid meeting)

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OWR_2021_23.pdf (2.84 MB)

Date

2021

Authors

Editor

Advisor

Volume

18

Issue

2

Journal

Oberwolfach reports : OWR

Series Titel

Book Title

Publisher

Zürich : EMS Publ. House

Supplementary Material

Other Versions

Link to publishers' Version

https://doi.org/10.4171/OWR/2021/23

Abstract

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.

Description

Keywords

Keywords GND

Konferenzschrift

Conference

Mini-Workshop: Analysis of Data-driven Optimal Control (hybrid meeting), 09 May - 15 May 2021, Oberwolfach

Publication Type

Article

Version

publishedVersion

URI

https://oa.tib.eu/renate/handle/123456789/13508
 https://doi.org/10.34657/12538

Collections

Mathematik
Oberwolfach Reports (OWR)

License

This document may be downloaded, read, stored and printed for your own use within the limits of § 53 UrhG but it may not be distributed via the internet or passed on to external parties.
Dieses Dokument darf im Rahmen von § 53 UrhG zum eigenen Gebrauch kostenfrei heruntergeladen, gelesen, gespeichert und ausgedruckt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.