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Identifying the Potentials of Reinforcement Learning-based Control Methods in Combination with Model-based Feed-Forward Control for Vertical Dynamics Control of Vehicles

Legl, Fabian (2020) Identifying the Potentials of Reinforcement Learning-based Control Methods in Combination with Model-based Feed-Forward Control for Vertical Dynamics Control of Vehicles. Master's, Technische Universität München.

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Item URL in elib:https://elib.dlr.de/138837/
Document Type:Thesis (Master's)
Title:Identifying the Potentials of Reinforcement Learning-based Control Methods in Combination with Model-based Feed-Forward Control for Vertical Dynamics Control of Vehicles
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Legl, FabianFabian.Legl (at) dlr.deUNSPECIFIED
Date:2020
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Reinforcement Learning, model-based feed-forward control, vertical dynamics control
Institution:Technische Universität München
Department:Lehrstuhl für Elektrische Antriebssysteme und Leistungselektronik
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - NGC KoFiF
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of System Dynamics and Control > Vehicle System Dynamics
Deposited By: Ultsch, Johannes
Deposited On:02 Dec 2020 14:30
Last Modified:02 Dec 2020 14:30

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