PN 4

SimTech EXC 2075 Project Network 4 "Data-integrated control systems design with guarantees"

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11 to 13 of 13 Results

PN 4-7(Universität Stuttgart) May 16, 2022 Combining First Principles and Neural Network Models for Interpretable, High-Precision Multi-Step Predictions (InMotion)
A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot May 21, 2021 - PN 4-4 Eschmann, Hannes, 2021, "A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot", https://doi.org/10.18419/DARUS-1845, DaRUS, V1 The intend of this data set is the cooperation within SimTech. It will be particularly interesting for data-based modeling and control which is a key area of the research of project network 4. We are proud to provide real-world data, which is essential for the benchmark of any data-based method. Additionally, we are able to provide reference soluti...
PN 4-4(Institute of Engineering and Computational Mechanics, Universität Stuttgart) May 10, 2021 Bridging the gap between theoretic research in distributed and learning-based model predictive control and multi-agent applications.

PN 4-7(Universität Stuttgart)

May 16, 2022

Combining First Principles and Neural Network Models for Interpretable, High-Precision Multi-Step Predictions (InMotion)

A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot

May 21, 2021 - PN 4-4

Eschmann, Hannes, 2021, "A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot", https://doi.org/10.18419/DARUS-1845, DaRUS, V1

The intend of this data set is the cooperation within SimTech. It will be particularly interesting for data-based modeling and control which is a key area of the research of project network 4. We are proud to provide real-world data, which is essential for the benchmark of any data-based method. Additionally, we are able to provide reference soluti...

PN 4-4(Institute of Engineering and Computational Mechanics, Universität Stuttgart)

May 10, 2021

Bridging the gap between theoretic research in distributed and learning-based model predictive control and multi-agent applications.

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