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Jonas Weigand
Jonas Weigand
WSKL, Universität Kaiserslautern
Verified email at weigand-weigand.de - Homepage
Title
Cited by
Cited by
Year
Flatness based control of an industrial robot joint using secondary encoders
J Weigand, N Gafur, M Ruskowski
Robotics and Computer-Integrated Manufacturing 68, 102039, 2021
162021
Input-to-state stability for system identification with continuous-time Runge–Kutta neural networks
J Weigand, M Deflorian, M Ruskowski
International Journal of Control 96 (1), 24-40, 2023
62023
Neural adaptive control of a robot joint using secondary encoders
J Weigand, M Volkmann, M Ruskowski
Advances in Service and Industrial Robotics: Proceedings of the 28th …, 2020
52020
Dataset and baseline for an industrial robot identification benchmark
J Weigand, J Götz, J Ulmen, M Ruskowski
42023
Hybrid data-driven modelling for inverse control of hydraulic excavators
J Weigand, J Raible, N Zantopp, O Demir, A Trachte, A Wagner, ...
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
42021
State Derivative Normalization for Continuous-Time Deep Neural Networks
J Weigand, GI Beintema, J Ulmen, D Görges, R Tóth, M Schoukens, ...
arXiv preprint arXiv:2401.02902, 2024
2024
Hybrid Continuous-Time Deep Neural Networks for Robot System Identification and Control
JB Weigand
Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, 2023
2023
Identifying a simulation model of an industrial robot
A Retzler, R Tóth, GI Beintema, JP Noël, M Schoukens, J Weigand, ...
7th Edition of the Workshop on Nonlinear System Identification Benchmarks …, 2023
2023
Augmented model identification for forward simulation of a robot arm
A Retzler, R Tóth, J Swevers, JP Noël, Z Kollár, GI Beintema, J Weigand, ...
Benelux Meeting on Systems and Control 2023, Location: Elspeet, The Netherlands, 2023
2023
Roboter in der autonomen Produktion der Zukunft
M Volkmann, J Weigand, M Ruskowski
Sammelband Smart Factory, 2020
2020
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