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Titel:

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

Dokumenttyp:
Verschiedenes
Autor(en):
A. Lederer; A. Capone; T. Beckers; J. Umlauft; S. Hirche
Abstract:
Despite the existence of formal guarantees for learning-based control approaches, the relationship between data and control performance is still poorly understood. In this paper, we present a measure to quantify the value of data within the context of a predefined control task. Our approach is applicable to a wide variety of unknown nonlinear systems that are to be controlled by a generic learning-based control law. We model the unknown component of the system using Gaussian processes, which in...     »
Publiziert als:
Learning for Dynamics and Control
Monat:
Jun
Jahr:
2021
Sprache:
en
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