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Titel:

An Online Adaptation Strategy for Direct Data-driven Control

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Vortrag / Präsentation
Autor(en):
Teutsch, Johannes; Ellmaier, Sebastian; Kerz, Sebastian; Wollherr, Dirk; Leibold, Marion
Seitenangaben Beitrag:
6
Abstract:
The fundamental lemma from behavioral systems theory yields a data-driven non-parametric system representation that has shown great potential for the data-efficient control of unknown linear and weakly nonlinear systems, even in the presence of measurement noise. In this work, we strive to extend the applicability of this paradigm to more strongly nonlinear systems by updating the system representation during control. Unlike existing approaches, our method does not impose suitable excitation to...     »
Stichworte:
Data-based control, Data-driven optimal control, Uncertain systems, Predictive control, Online adaptation, Identification for control
Kongress- / Buchtitel:
IFAC World Congress 2023
Jahr:
2023
CC-Lizenz:
by-nc-nd, http://creativecommons.org/licenses/by-nc-nd/4.0
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