Approximate Explicit Model Predictive Controller using Gaussian Processes
dc.contributor.author
Binder, Matthias
dc.contributor.author
Darivianakis, Georgios
dc.contributor.author
Eichler, Annika
dc.contributor.author
Lygeros, John
dc.date.accessioned
2020-04-08T11:11:21Z
dc.date.available
2020-01-15T11:49:29Z
dc.date.available
2020-01-15T13:06:48Z
dc.date.available
2020-04-08T10:11:56Z
dc.date.available
2020-04-08T11:11:21Z
dc.date.issued
2020
dc.identifier.isbn
978-1-7281-1398-2
en_US
dc.identifier.isbn
978-1-7281-1397-5
en_US
dc.identifier.isbn
978-1-7281-1399-9
en_US
dc.identifier.other
10.1109/CDC40024.2019.9029942
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/390760
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.title
Approximate Explicit Model Predictive Controller using Gaussian Processes
en_US
dc.type
Conference Paper
dc.date.published
2020-03-12
ethz.book.title
2019 IEEE 58th Conference on Decision and Control (CDC)
en_US
ethz.pages.start
841
en_US
ethz.pages.end
846
en_US
ethz.event
58th IEEE Conference on Decision and Control (CDC 2019)
en_US
ethz.event.location
Nice, France
en_US
ethz.event.date
December 11-13, 2019
en_US
ethz.notes
Conference lecture on December 11, 2019.
en_US
ethz.grant
Optimal control at large
en_US
ethz.identifier.scopus
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02650 - Institut für Automatik / Automatic Control Laboratory::03751 - Lygeros, John / Lygeros, John
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02650 - Institut für Automatik / Automatic Control Laboratory::03751 - Lygeros, John / Lygeros, John
en_US
ethz.grant.agreementno
787845
ethz.grant.fundername
EC
ethz.grant.funderDoi
10.13039/501100000780
ethz.grant.program
H2020
ethz.date.deposited
2020-01-15T11:49:47Z
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FORM
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yes
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ethz.availability
Metadata only
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ethz.rosetta.installDate
2020-04-08T10:12:07Z
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2023-02-06T18:31:44Z
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Conference Paper [35350]