Mini-Workshop: Analysis of Data-driven Optimal Control (hybrid meeting)
| dc.bibliographicCitation.firstPage | 1209 | |
| dc.bibliographicCitation.issue | 2 | |
| dc.bibliographicCitation.journalTitle | Oberwolfach reports : OWR | |
| dc.bibliographicCitation.lastPage | 1257 | |
| dc.bibliographicCitation.volume | 18 | |
| dc.contributor.other | Morris, Kirsten | |
| dc.date.accessioned | 2023-12-15T10:27:44Z | |
| dc.date.available | 2023-12-15T10:27:44Z | |
| dc.date.issued | 2021 | |
| 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. | eng |
| dc.description.version | publishedVersion | |
| dc.identifier.uri | https://oa.tib.eu/renate/handle/123456789/13508 | |
| dc.identifier.uri | https://doi.org/10.34657/12538 | |
| dc.language.iso | eng | |
| dc.publisher | Zürich : EMS Publ. House | |
| dc.relation.doi | https://doi.org/10.4171/OWR/2021/23 | |
| dc.relation.essn | 1660-8941 | |
| dc.relation.issn | 1660-8933 | |
| 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. | eng |
| 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. | ger |
| dc.subject.ddc | 510 | |
| dc.subject.gnd | Konferenzschrift | ger |
| dc.title | Mini-Workshop: Analysis of Data-driven Optimal Control (hybrid meeting) | eng |
| dc.type | Article | |
| dcterms.event | Mini-Workshop: Analysis of Data-driven Optimal Control (hybrid meeting), 09 May - 15 May 2021, Oberwolfach | |
| tib.accessRights | openAccess | |
| wgl.contributor | MFO | |
| wgl.subject | Mathematik | |
| wgl.type | Zeitschriftenartikel |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- OWR_2021_23.pdf
- Size:
- 2.84 MB
- Format:
- Adobe Portable Document Format
- Description: