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Scalable Gaussian Process Regressionvia Deterministic Trigonometric Features:Uniform Bounds for Safe Model Predictive Control
; ; ; ;
2026
Online
DOI: 10.48550/arXiv.2608.16415
Einrichtungen
Projekte
- HDS LEE - Helmholtz School for Data Science in Life, Earth and Energy (HDS LEE) (HDS-LEE-20190612) (HDS-LEE-20190612)
- WS-A.III - Functional Perspective (X080067-WS-A.III) (X080067-WS-A.III)
- DFG project G:(GEPRIS)390621612 - EXC 2023: Internet of Production (IoP) (390621612) (390621612)
- Doktorandenprogramm (PHD-PROGRAM-20170404) (PHD-PROGRAM-20170404)
Externer link: 
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Dokumenttyp
Preprint
Format
online
Sprache
English
Externe Identnummern
arXiv: arXiv:2608.16415
Interne Identnummern
RWTH-2026-08512
Datensatz-ID: 1041298
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The record appears in these collections: |
Datensatz erzeugt am 2026-09-11, letzte Änderung am 2026-09-14
Externer link:
Fulltext by arXiv.org
Fulltext by arXiv.org