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Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework - Supplement Code
dc.contributor.author
Prajapat, Manish
dc.contributor.author
Lahr, Amon
dc.contributor.author
Köhler, Johannes
dc.contributor.author
Krause, Andreas
dc.contributor.author
Zeilinger, Melanie N.
dc.contributor.contactPerson
Prajapat, Manish
dc.contributor.contactPerson
Lahr, Amon
dc.date.accessioned
2024-09-12T12:08:22Z
dc.date.available
2024-09-12T12:08:22Z
dc.date.issued
2024
dc.identifier.uri
http://hdl.handle.net/20.500.11850/693678
dc.language.iso
en
en_US
dc.rights.uri
https://opensource.org/licenses/MIT
dc.title
Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework - Supplement Code
en_US
dc.type
Other Research Data
dc.rights.license
MIT License
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02619 - Inst. Dynam. Syst. u. Regelungstechnik / Inst. Dynamic Systems and Control::09563 - Zeilinger, Melanie / Zeilinger, Melanie
en_US
ethz.date.deposited
2024-09-12T12:08:23Z
ethz.source
FORM
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yes
en_US
ethz.doipreview
Yes
en_US
ethz.rosetta.exportRequired
true
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