Trade-offs in learning controllers from noisy data
Work
Year: 2021
Type: article
Abstract: In data-driven control, a central question is how to handle noisy data. In this work, we consider the problem of designing a stabilizing controller for an unknown linear system using only a finite set... more
Source: Systems & Control Letters
Institutions University of Groningen, University of Florence
Cites: 26
Cited by: 54
Related to: 10
FWCI: 5.908
Citation percentile (by year/subfield): 100
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Sustainable Development Goal Affordable and clean energy
Open Access status: hybrid
APC paid (est): $2,750
Funders Nederlandse Organisatie voor Wetenschappelijk Onderzoek, H2020 Marie Skłodowska-Curie Actions
Grant IDS 15472, 754315