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Jonas Weigand

Orcid: 0000-0001-5835-3106

Affiliations:
  • RPTU Kaiserslautern, Department of Machine Tools and Control Systems, Germany
  • German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany
  • Technical University Kaiserslautern (TU Kaiserslautern), Germany (PhD 2023)


According to our database1, Jonas Weigand authored at least 6 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
State Derivative Normalization for Continuous-Time Deep Neural Networks.
[BibTeX]
[DOI]
Jonas Weigand
,
Gerben Izaak Beintema
,
Jonas Ulmen
,
Daniel Görges
,
Roland Tóth
,
Maarten Schoukens
,
Martin Ruskowski
CoRR, 2024

2023
Hybrid Continuous-Time Deep Neural Networks for Robot System Identification and Control
[BibTeX]
[DOI]
Jonas Benjamin Weigand
PhD thesis, 2023

Input-to-state stability for system identification with continuous-time Runge-Kutta neural networks.
[BibTeX]
[DOI]
Jonas Weigand
,
Michael Deflorian
,
Martin Ruskowski
Int. J. Control, 2023

2021
Flatness Based Control of an Industrial Robot Joint Using Secondary Encoders.
[BibTeX]
[DOI]
Jonas Weigand
,
Nigora Gafur
,
Martin Ruskowski
Robotics Comput. Integr. Manuf., 2021

Hybrid Data-Driven Modelling for Inverse Control of Hydraulic Excavators.
[BibTeX]
[DOI]
Jonas Weigand
,
Julian Raible
,
Nico Zantopp
,
Ozan Demir
,
Adrian Trachte
,
Achim Wagner
,
Martin Ruskowski
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2019
Neural Adaptive Control of a Robot Joint Using Secondary Encoders.
[BibTeX]
[DOI]
Jonas Weigand
,
Magnus Volkmann
,
Martin Ruskowski
Proceedings of the Advances in Service and Industrial Robotics, 2019


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