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The Impact of Data on the Stability of Learning-Based Control- Extended
  Version
v1v2 (latest)

The Impact of Data on the Stability of Learning-Based Control- Extended Version

20 November 2020
Armin Lederer
A. Capone
Thomas Beckers
Jonas Umlauft
Sandra Hirche
ArXiv (abs)PDFHTML

Papers citing "The Impact of Data on the Stability of Learning-Based Control- Extended Version"

5 / 5 papers shown
Title
Koopman Kernel Regression
Koopman Kernel Regression
Petar Bevanda
Maximilian Beier
Armin Lederer
Stefan Sosnowski
Eyke Hüllermeier
Sandra Hirche
AI4TS
84
16
0
25 May 2023
Neural Observer with Lyapunov Stability Guarantee for Uncertain
  Nonlinear Systems
Neural Observer with Lyapunov Stability Guarantee for Uncertain Nonlinear Systems
Song Chen
Shengze Cai
Tehuan Chen
Chao Xu
Jian Chu
60
5
0
27 Aug 2022
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert
  Spaces
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces
Mojmír Mutný
Andreas Krause
101
11
0
26 May 2022
Adaptive Low-Pass Filtering using Sliding Window Gaussian Processes
Adaptive Low-Pass Filtering using Sliding Window Gaussian Processes
Alejandro Jose Ordóñez Conejo
Armin Lederer
Sandra Hirche
139
4
0
05 Nov 2021
Pointwise Feasibility of Gaussian Process-based Safety-Critical Control
  under Model Uncertainty
Pointwise Feasibility of Gaussian Process-based Safety-Critical Control under Model Uncertainty
F. Castañeda
Jason J. Choi
Bike Zhang
Claire Tomlin
Koushil Sreenath
94
53
0
13 Jun 2021
1