| dc.date.accessioned | 2021-06-16T13:35:06Z | |
| dc.date.available | 2021-06-16T13:35:06Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | http://publications.mfo.de/handle/mfo/3867 | |
| dc.description.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. | |
| dc.title | Mini-Workshop: Analysis of Data-driven Optimal Control (hybrid meeting) | |
| dc.rights.license | 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. | de |
| dc.rights.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. | en |
| dc.identifier.doi | 10.14760/OWR-2021-23 | |
| local.series.id | OWR-2021-23 | |
| local.subject.msc | 47 | |
| local.subject.msc | 49 | |
| local.subject.msc | 93 | |
| local.date-range | 09 May - 15 May 2021 | |
| local.workshopcode | 2119a | |
| local.workshoptitle | Mini-Workshop: Analysis of Data-driven Optimal Control (hybrid meeting) | |
| local.organizers | Lars Grüne, Bayreuth; Kirsten Morris, Waterloo | |
| local.report-name | Workshop Report 2021,23 | |
| local.opc-photo-id | 2119a | |
| local.publishers-doi | 10.4171/OWR/2021/23 | |
