---
_id: '47417'
author:
- first_name: Otto
full_name: Föllinger, Otto
last_name: Föllinger
- first_name: Ulrich
full_name: Konigorski, Ulrich
last_name: Konigorski
- first_name: Boris
full_name: Lohmann, Boris
last_name: Lohmann
- first_name: Günter
full_name: Roppenecker, Günter
last_name: Roppenecker
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: Föllinger O, Konigorski U, Lohmann B, Roppenecker G, Trächtler A. Regelungstechnik.
Einführung in die Methoden und ihre Anwendung. 13th ed. VDE-Verlag; 2022.
apa: Föllinger, O., Konigorski, U., Lohmann, B., Roppenecker, G., & Trächtler,
A. (2022). Regelungstechnik. Einführung in die Methoden und ihre Anwendung
(13th ed.). VDE-Verlag.
bibtex: '@book{Föllinger_Konigorski_Lohmann_Roppenecker_Trächtler_2022, place={Berlin},
edition={13}, title={Regelungstechnik. Einführung in die Methoden und ihre Anwendung},
publisher={VDE-Verlag}, author={Föllinger, Otto and Konigorski, Ulrich and Lohmann,
Boris and Roppenecker, Günter and Trächtler, Ansgar}, year={2022} }'
chicago: 'Föllinger, Otto, Ulrich Konigorski, Boris Lohmann, Günter Roppenecker,
and Ansgar Trächtler. Regelungstechnik. Einführung in die Methoden und ihre
Anwendung. 13th ed. Berlin: VDE-Verlag, 2022.'
ieee: 'O. Föllinger, U. Konigorski, B. Lohmann, G. Roppenecker, and A. Trächtler,
Regelungstechnik. Einführung in die Methoden und ihre Anwendung, 13th ed.
Berlin: VDE-Verlag, 2022.'
mla: Föllinger, Otto, et al. Regelungstechnik. Einführung in die Methoden und
ihre Anwendung. 13th ed., VDE-Verlag, 2022.
short: O. Föllinger, U. Konigorski, B. Lohmann, G. Roppenecker, A. Trächtler, Regelungstechnik.
Einführung in die Methoden und ihre Anwendung, 13th ed., VDE-Verlag, Berlin, 2022.
date_created: 2023-09-25T11:40:00Z
date_updated: 2023-09-25T13:52:53Z
department:
- _id: '153'
- _id: '241'
edition: '13'
language:
- iso: ger
place: Berlin
publisher: VDE-Verlag
status: public
title: Regelungstechnik. Einführung in die Methoden und ihre Anwendung
type: book
user_id: '552'
year: '2022'
...
---
_id: '26539'
abstract:
- lang: eng
text: In control design most control strategies are model-based and require accurate
models to be applied successfully. Due to simplifications and the model-reality-gap
physics-derived models frequently exhibit deviations from real-world-systems.
Likewise, purely data-driven methods often do not generalise well enough and may
violate physical laws. Recently Physics-Guided Neural Networks (PGNN) and physics-inspired
loss functions separately have shown promising results to conquer these drawbacks.
In this contribution we extend existing methods towards the identification of
non-autonomous systems and propose a combined approach PGNN-L, which uses a PGNN
and a physics-inspired loss term (-L) to successfully identify the system's dynamics,
while maintaining the consistency with physical laws. The proposed method is demonstrated
on two real-world nonlinear systems and outperforms existing techniques regarding
complexity and reliability.
author:
- first_name: Ricarda-Samantha
full_name: Götte, Ricarda-Samantha
id: '43992'
last_name: Götte
- first_name: Julia
full_name: Timmermann, Julia
id: '15402'
last_name: Timmermann
citation:
ama: 'Götte R-S, Timmermann J. Composed Physics- and Data-driven System Identification
for Non-autonomous Systems in Control Engineering. In: 2022 3rd International
Conference on Artificial Intelligence, Robotics and Control (AIRC). ; 2022:67-76.
doi:10.1109/AIRC56195.2022.9836982'
apa: Götte, R.-S., & Timmermann, J. (2022). Composed Physics- and Data-driven
System Identification for Non-autonomous Systems in Control Engineering. 2022
3rd International Conference on Artificial Intelligence, Robotics and Control
(AIRC), 67–76. https://doi.org/10.1109/AIRC56195.2022.9836982
bibtex: '@inproceedings{Götte_Timmermann_2022, title={Composed Physics- and Data-driven
System Identification for Non-autonomous Systems in Control Engineering}, DOI={10.1109/AIRC56195.2022.9836982},
booktitle={2022 3rd International Conference on Artificial Intelligence, Robotics
and Control (AIRC)}, author={Götte, Ricarda-Samantha and Timmermann, Julia}, year={2022},
pages={67–76} }'
chicago: Götte, Ricarda-Samantha, and Julia Timmermann. “Composed Physics- and Data-Driven
System Identification for Non-Autonomous Systems in Control Engineering.” In 2022
3rd International Conference on Artificial Intelligence, Robotics and Control
(AIRC), 67–76, 2022. https://doi.org/10.1109/AIRC56195.2022.9836982.
ieee: 'R.-S. Götte and J. Timmermann, “Composed Physics- and Data-driven System
Identification for Non-autonomous Systems in Control Engineering,” in 2022
3rd International Conference on Artificial Intelligence, Robotics and Control
(AIRC), Cairo, Egypt, 2022, pp. 67–76, doi: 10.1109/AIRC56195.2022.9836982.'
mla: Götte, Ricarda-Samantha, and Julia Timmermann. “Composed Physics- and Data-Driven
System Identification for Non-Autonomous Systems in Control Engineering.” 2022
3rd International Conference on Artificial Intelligence, Robotics and Control
(AIRC), 2022, pp. 67–76, doi:10.1109/AIRC56195.2022.9836982.
short: 'R.-S. Götte, J. Timmermann, in: 2022 3rd International Conference on Artificial
Intelligence, Robotics and Control (AIRC), 2022, pp. 67–76.'
conference:
end_date: 2021-12-10
location: Cairo, Egypt
name: 3rd International Conference on Artificial Intelligence, Robotics and Control
start_date: 2021-12-08
date_created: 2021-10-19T14:47:17Z
date_updated: 2024-11-13T08:43:28Z
department:
- _id: '153'
- _id: '880'
doi: 10.1109/AIRC56195.2022.9836982
keyword:
- data-driven
- physics-based
- physics-informed
- neural networks
- system identification
- hybrid modelling
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2112.08148
oa: '1'
page: 67-76
publication: 2022 3rd International Conference on Artificial Intelligence, Robotics
and Control (AIRC)
quality_controlled: '1'
status: public
title: Composed Physics- and Data-driven System Identification for Non-autonomous
Systems in Control Engineering
type: conference
user_id: '43992'
year: '2022'
...
---
_id: '31066'
abstract:
- lang: eng
text: 'While trade-offs between modeling effort and model accuracy remain a major
concern with system identification, resorting to data-driven methods often leads
to a complete disregard for physical plausibility. To address this issue, we propose
a physics-guided hybrid approach for modeling non-autonomous systems under control.
Starting from a traditional physics-based model, this is extended by a recurrent
neural network and trained using a sophisticated multi-objective strategy yielding
physically plausible models. While purely data-driven methods fail to produce
satisfying results, experiments conducted on real data reveal substantial accuracy
improvements by our approach compared to a physics-based model. '
author:
- first_name: Oliver
full_name: Schön, Oliver
last_name: Schön
- first_name: Ricarda-Samantha
full_name: Götte, Ricarda-Samantha
id: '43992'
last_name: Götte
- first_name: Julia
full_name: Timmermann, Julia
id: '15402'
last_name: Timmermann
citation:
ama: 'Schön O, Götte R-S, Timmermann J. Multi-Objective Physics-Guided Recurrent
Neural Networks for Identifying Non-Autonomous Dynamical Systems. In: 14th
IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022). Vol 55.
; 2022:19-24. doi:https://doi.org/10.1016/j.ifacol.2022.07.282'
apa: Schön, O., Götte, R.-S., & Timmermann, J. (2022). Multi-Objective Physics-Guided
Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems. 14th
IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), 55(12),
19–24. https://doi.org/10.1016/j.ifacol.2022.07.282
bibtex: '@inproceedings{Schön_Götte_Timmermann_2022, title={Multi-Objective Physics-Guided
Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems}, volume={55},
DOI={https://doi.org/10.1016/j.ifacol.2022.07.282},
number={12}, booktitle={14th IFAC Workshop on Adaptive and Learning Control Systems
(ALCOS 2022)}, author={Schön, Oliver and Götte, Ricarda-Samantha and Timmermann,
Julia}, year={2022}, pages={19–24} }'
chicago: Schön, Oliver, Ricarda-Samantha Götte, and Julia Timmermann. “Multi-Objective
Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical
Systems.” In 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS
2022), 55:19–24, 2022. https://doi.org/10.1016/j.ifacol.2022.07.282.
ieee: 'O. Schön, R.-S. Götte, and J. Timmermann, “Multi-Objective Physics-Guided
Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems,” in
14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022),
Casablanca, Morocco, 2022, vol. 55, no. 12, pp. 19–24, doi: https://doi.org/10.1016/j.ifacol.2022.07.282.'
mla: Schön, Oliver, et al. “Multi-Objective Physics-Guided Recurrent Neural Networks
for Identifying Non-Autonomous Dynamical Systems.” 14th IFAC Workshop on Adaptive
and Learning Control Systems (ALCOS 2022), vol. 55, no. 12, 2022, pp. 19–24,
doi:https://doi.org/10.1016/j.ifacol.2022.07.282.
short: 'O. Schön, R.-S. Götte, J. Timmermann, in: 14th IFAC Workshop on Adaptive
and Learning Control Systems (ALCOS 2022), 2022, pp. 19–24.'
conference:
end_date: 2022-07-01
location: Casablanca, Morocco
name: 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022)
start_date: 2022-06-29
date_created: 2022-05-05T06:22:55Z
date_updated: 2024-11-13T08:43:16Z
department:
- _id: '153'
- _id: '880'
doi: https://doi.org/10.1016/j.ifacol.2022.07.282
intvolume: ' 55'
issue: '12'
keyword:
- neural networks
- physics-guided
- data-driven
- multi-objective optimization
- system identification
- machine learning
- dynamical systems
language:
- iso: eng
page: 19-24
publication: 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022)
quality_controlled: '1'
status: public
title: Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous
Dynamical Systems
type: conference
user_id: '43992'
volume: 55
year: '2022'
...
---
_id: '29803'
abstract:
- lang: eng
text: "Ultrasonic wire bonding is a solid-state joining process used to form electrical
interconnections in micro and\r\npower electronics and batteries. A high frequency
oscillation causes a metallurgical bond deformation in\r\nthe contact area. Due
to the numerous physical influencing factors, it is very difficult to accurately
capture\r\nthis process in a model. Therefore, our goal is to determine a suitable
feed-forward control strategy for the\r\nbonding process even without detailed
model knowledge. We propose the use of batch constrained Bayesian\r\noptimization
for the control design. Hence, Bayesian optimization is precisely adapted to the
application of\r\nbonding: the constraint is used to check one quality feature
of the process and the use of batches leads to\r\nmore efficient experiments.
Our approach is suitable to determine a feed-forward control for the bonding\r\nprocess
that provides very high quality bonds without using a physical model. We also
show that the quality\r\nof the Bayesian optimization based control outperforms
random search as well as manual search by a user.\r\nUsing a simple prior knowledge
model derived from data further improves the quality of the connection.\r\nThe
Bayesian optimization approach offers the possibility to perform a sensitivity
analysis of the control\r\nparameters, which allows to evaluate the influence
of each control parameter on the bond quality. In summary,\r\nBayesian optimization
applied to the bonding process provides an excellent opportunity to develop a
feedforward\r\ncontrol without full modeling of the underlying physical processes."
author:
- first_name: Michael
full_name: Hesse, Michael
id: '29222'
last_name: Hesse
- first_name: Matthias
full_name: Hunstig, Matthias
last_name: Hunstig
- first_name: Julia
full_name: Timmermann, Julia
id: '15402'
last_name: Timmermann
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Hesse M, Hunstig M, Timmermann J, Trächtler A. Batch Constrained Bayesian
Optimization for UltrasonicWire Bonding Feed-forward Control Design. In: Proceedings
of the 11th International Conference on Pattern Recognition Applications and Methods
(ICPRAM). ; 2022:383-394.'
apa: Hesse, M., Hunstig, M., Timmermann, J., & Trächtler, A. (2022). Batch Constrained
Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design.
Proceedings of the 11th International Conference on Pattern Recognition Applications
and Methods (ICPRAM), 383–394.
bibtex: '@inproceedings{Hesse_Hunstig_Timmermann_Trächtler_2022, title={Batch Constrained
Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design},
booktitle={Proceedings of the 11th International Conference on Pattern Recognition
Applications and Methods (ICPRAM)}, author={Hesse, Michael and Hunstig, Matthias
and Timmermann, Julia and Trächtler, Ansgar}, year={2022}, pages={383–394} }'
chicago: Hesse, Michael, Matthias Hunstig, Julia Timmermann, and Ansgar Trächtler.
“Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-Forward
Control Design.” In Proceedings of the 11th International Conference on Pattern
Recognition Applications and Methods (ICPRAM), 383–94, 2022.
ieee: M. Hesse, M. Hunstig, J. Timmermann, and A. Trächtler, “Batch Constrained
Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design,”
in Proceedings of the 11th International Conference on Pattern Recognition
Applications and Methods (ICPRAM), Online, 2022, pp. 383–394.
mla: Hesse, Michael, et al. “Batch Constrained Bayesian Optimization for UltrasonicWire
Bonding Feed-Forward Control Design.” Proceedings of the 11th International
Conference on Pattern Recognition Applications and Methods (ICPRAM), 2022,
pp. 383–94.
short: 'M. Hesse, M. Hunstig, J. Timmermann, A. Trächtler, in: Proceedings of the
11th International Conference on Pattern Recognition Applications and Methods
(ICPRAM), 2022, pp. 383–394.'
conference:
end_date: 2022-02-05
location: Online
name: 11th International Conference on Pattern Recognition Applications and Methods
start_date: 2022-02-03
date_created: 2022-02-09T12:50:25Z
date_updated: 2024-11-13T08:44:17Z
department:
- _id: '153'
- _id: '880'
keyword:
- Bayesian optimization
- Wire bonding
- Feed-forward control
- model-free design
language:
- iso: eng
page: 383-394
publication: Proceedings of the 11th International Conference on Pattern Recognition
Applications and Methods (ICPRAM)
publication_identifier:
isbn:
- 978-989-758-549-4
quality_controlled: '1'
status: public
title: Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-forward
Control Design
type: conference
user_id: '82875'
year: '2022'
...
---
_id: '33849'
abstract:
- lang: eng
text: Modern traffic control systems are key to cope with current and future traffic
challenges. In this paper information obtained from a microscopic traffic estimation
using various data sources is used to feed a new developed traffic control approach.
The presented method can control a traffic area with multiple traffic light systems
(TLS) reacting to individual road users and pedestrians. In contrast to widespread
green time extension techniques, this control selects the best phase sequence
by analyzing the current traffic state reconstructed in SUMO and its predicted
progress. To achieve this, the key aspect of the control strategy is to use Model
Predictive Control (MPC). In order to maintain realism for real world applications,
among other things, the traffic phase transitions are modelled in detail and integrated
within the prediction. For the efficiency, the approach incorporates a fuzzy logic
preselection of all phases reducing the computational effort. The evaluation itself
is able to be easily adjusted to focus on various objectives like low occupancies,
reducing waiting times and emissions, few number of phase transitions etc. determining
the best switching times for the selected phases. Exemplary traffic simulations
demonstrate the functionality of the MPC-based control and, in addition, some
aspects under development like the real-world communication network are also discussed.
author:
- first_name: Kevin
full_name: Malena, Kevin
id: '36303'
last_name: Malena
orcid: 0000-0003-1183-4679
- first_name: Christopher
full_name: Link, Christopher
id: '38249'
last_name: Link
- first_name: Leon
full_name: Bußemas, Leon
id: '51118'
last_name: Bußemas
- first_name: Sandra
full_name: Gausemeier, Sandra
id: '17793'
last_name: Gausemeier
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Malena K, Link C, Bußemas L, Gausemeier S, Trächtler A. Traffic Estimation
and MPC-Based Traffic Light System Control in Realistic Real-Time Traffic Environments.
In: Klein C, Jarke M, Helfert M, Berns K, Gusikhin O, eds. Communications in
Computer and Information Science. Vol 1612. Communications in Computer and
Information Science. Springer International Publishing; 2022:232–254. doi:10.1007/978-3-031-17098-0_12'
apa: Malena, K., Link, C., Bußemas, L., Gausemeier, S., & Trächtler, A. (2022).
Traffic Estimation and MPC-Based Traffic Light System Control in Realistic Real-Time
Traffic Environments. In C. Klein, M. Jarke, M. Helfert, K. Berns, & O. Gusikhin
(Eds.), Communications in Computer and Information Science (Vol. 1612,
pp. 232–254). Springer International Publishing. https://doi.org/10.1007/978-3-031-17098-0_12
bibtex: '@inbook{Malena_Link_Bußemas_Gausemeier_Trächtler_2022, place={Cham}, series={Communications
in Computer and Information Science}, title={Traffic Estimation and MPC-Based
Traffic Light System Control in Realistic Real-Time Traffic Environments}, volume={1612},
DOI={10.1007/978-3-031-17098-0_12},
booktitle={Communications in Computer and Information Science}, publisher={Springer
International Publishing}, author={Malena, Kevin and Link, Christopher and Bußemas,
Leon and Gausemeier, Sandra and Trächtler, Ansgar}, editor={Klein, Cornel and
Jarke, Mathias and Helfert, Markus and Berns, Karsten and Gusikhin, Oleg}, year={2022},
pages={232–254}, collection={Communications in Computer and Information Science}
}'
chicago: 'Malena, Kevin, Christopher Link, Leon Bußemas, Sandra Gausemeier, and
Ansgar Trächtler. “Traffic Estimation and MPC-Based Traffic Light System Control
in Realistic Real-Time Traffic Environments.” In Communications in Computer
and Information Science, edited by Cornel Klein, Mathias Jarke, Markus Helfert,
Karsten Berns, and Oleg Gusikhin, 1612:232–254. Communications in Computer and
Information Science. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-17098-0_12.'
ieee: 'K. Malena, C. Link, L. Bußemas, S. Gausemeier, and A. Trächtler, “Traffic
Estimation and MPC-Based Traffic Light System Control in Realistic Real-Time Traffic
Environments,” in Communications in Computer and Information Science, vol.
1612, C. Klein, M. Jarke, M. Helfert, K. Berns, and O. Gusikhin, Eds. Cham: Springer
International Publishing, 2022, pp. 232–254.'
mla: Malena, Kevin, et al. “Traffic Estimation and MPC-Based Traffic Light System
Control in Realistic Real-Time Traffic Environments.” Communications in Computer
and Information Science, edited by Cornel Klein et al., vol. 1612, Springer
International Publishing, 2022, pp. 232–254, doi:10.1007/978-3-031-17098-0_12.
short: 'K. Malena, C. Link, L. Bußemas, S. Gausemeier, A. Trächtler, in: C. Klein,
M. Jarke, M. Helfert, K. Berns, O. Gusikhin (Eds.), Communications in Computer
and Information Science, Springer International Publishing, Cham, 2022, pp. 232–254.'
date_created: 2022-10-20T15:06:39Z
date_updated: 2026-01-26T08:49:52Z
department:
- _id: '153'
doi: 10.1007/978-3-031-17098-0_12
editor:
- first_name: Cornel
full_name: Klein, Cornel
last_name: Klein
- first_name: Mathias
full_name: Jarke, Mathias
last_name: Jarke
- first_name: Markus
full_name: Helfert, Markus
last_name: Helfert
- first_name: Karsten
full_name: Berns, Karsten
last_name: Berns
- first_name: Oleg
full_name: Gusikhin, Oleg
last_name: Gusikhin
intvolume: ' 1612'
keyword:
- Traffic control
- Traffic estimation
- Real-time
- MPC
- Fuzzy
- Isolated intersection
- Networked intersection
- Sensor fusion
language:
- iso: eng
page: 232–254
place: Cham
publication: Communications in Computer and Information Science
publication_identifier:
isbn:
- '9783031170973'
- '9783031170980'
issn:
- 1865-0929
- 1865-0937
publication_status: published
publisher: Springer International Publishing
quality_controlled: '1'
related_material:
record:
- id: '24159'
relation: continues
status: public
series_title: Communications in Computer and Information Science
status: public
title: Traffic Estimation and MPC-Based Traffic Light System Control in Realistic
Real-Time Traffic Environments
type: book_chapter
user_id: '552'
volume: 1612
year: '2022'
...
---
_id: '26389'
abstract:
- lang: eng
text: Within this work, we investigate how data-driven numerical approximation methods
of the Koopman operator can be used in practical control engineering applications.
We refer to the method Extended Dynamic Mode Decomposition (EDMD), which approximates
a nonlinear dynamical system as a linear model. This makes the method ideal for
control engineering applications, because a linear system description is often
assumed for this purpose. Using academic examples, we simulatively analyze the
prediction performance of the learned EDMD models and show how relevant system
properties like stability, controllability, and observability are reflected by
the EDMD model, which is a critical requirement for a successful control design
process. Subsequently, we present our experimental results on a mechatronic test
bench and evaluate the applicability to the control engineering design process.
As a result, the investigated methods are suitable as a low-effort alternative
for the design steps of model building and adaptation in the classical model-based
controller design method.
author:
- first_name: Annika
full_name: Junker, Annika
id: '41470'
last_name: Junker
orcid: 0009-0002-6475-2503
- first_name: Julia
full_name: Timmermann, Julia
id: '15402'
last_name: Timmermann
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Junker A, Timmermann J, Trächtler A. Data-Driven Models for Control Engineering
Applications Using the Koopman Operator. In: 2022 3rd International Conference
on Artificial Intelligence, Robotics and Control (AIRC 2022). ; 2022:1-9.
doi:10.1109/AIRC56195.2022.9836980'
apa: Junker, A., Timmermann, J., & Trächtler, A. (2022). Data-Driven Models
for Control Engineering Applications Using the Koopman Operator. 2022 3rd International
Conference on Artificial Intelligence, Robotics and Control (AIRC 2022), 1–9.
https://doi.org/10.1109/AIRC56195.2022.9836980
bibtex: '@inproceedings{Junker_Timmermann_Trächtler_2022, title={Data-Driven Models
for Control Engineering Applications Using the Koopman Operator}, DOI={10.1109/AIRC56195.2022.9836980},
booktitle={2022 3rd International Conference on Artificial Intelligence, Robotics
and Control (AIRC 2022)}, author={Junker, Annika and Timmermann, Julia and Trächtler,
Ansgar}, year={2022}, pages={1–9} }'
chicago: Junker, Annika, Julia Timmermann, and Ansgar Trächtler. “Data-Driven Models
for Control Engineering Applications Using the Koopman Operator.” In 2022 3rd
International Conference on Artificial Intelligence, Robotics and Control (AIRC
2022), 1–9, 2022. https://doi.org/10.1109/AIRC56195.2022.9836980.
ieee: 'A. Junker, J. Timmermann, and A. Trächtler, “Data-Driven Models for Control
Engineering Applications Using the Koopman Operator,” in 2022 3rd International
Conference on Artificial Intelligence, Robotics and Control (AIRC 2022), Cairo,
Egypt, 2022, pp. 1–9, doi: 10.1109/AIRC56195.2022.9836980.'
mla: Junker, Annika, et al. “Data-Driven Models for Control Engineering Applications
Using the Koopman Operator.” 2022 3rd International Conference on Artificial
Intelligence, Robotics and Control (AIRC 2022), 2022, pp. 1–9, doi:10.1109/AIRC56195.2022.9836980.
short: 'A. Junker, J. Timmermann, A. Trächtler, in: 2022 3rd International Conference
on Artificial Intelligence, Robotics and Control (AIRC 2022), 2022, pp. 1–9.'
conference:
end_date: 2022-05-12
location: Cairo, Egypt
name: 2022 3rd International Conference on Artificial Intelligence, Robotics and
Control (AIRC 2022)
start_date: 2022-05-10
date_created: 2021-10-18T05:59:07Z
date_updated: 2026-04-01T05:51:06Z
department:
- _id: '153'
- _id: '880'
doi: 10.1109/AIRC56195.2022.9836980
keyword:
- Koopman Operator
- Nonlinear Control
- Extended Dynamic Mode Decomposition
- Hybrid Modelling
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/document/9836980
page: 1-9
project:
- _id: '690'
name: 'DART: Datengetriebene Methoden in der Regelungstechnik'
publication: 2022 3rd International Conference on Artificial Intelligence, Robotics
and Control (AIRC 2022)
publication_identifier:
isbn:
- 978-1-6654-5946-4
publication_status: published
quality_controlled: '1'
status: public
title: Data-Driven Models for Control Engineering Applications Using the Koopman Operator
type: conference
user_id: '41470'
year: '2022'
...
---
_id: '34011'
author:
- first_name: Annika
full_name: Junker, Annika
id: '41470'
last_name: Junker
orcid: 0009-0002-6475-2503
- first_name: Niklas
full_name: Fittkau, Niklas
id: '69890'
last_name: Fittkau
orcid: 0009-0007-1281-4465
- first_name: Julia
full_name: Timmermann, Julia
id: '15402'
last_name: Timmermann
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Junker A, Fittkau N, Timmermann J, Trächtler A. Autonomes Putten mittels datengetriebener
und physikbasierter Methoden. In: Proceedings - 32. Workshop Computational
Intelligence: Berlin, 1. - 2. Dezember 2022. ; 2022:119-124. doi:10.5445/KSP/1000151141'
apa: 'Junker, A., Fittkau, N., Timmermann, J., & Trächtler, A. (2022). Autonomes
Putten mittels datengetriebener und physikbasierter Methoden. Proceedings -
32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022, 119–124.
https://doi.org/10.5445/KSP/1000151141'
bibtex: '@inproceedings{Junker_Fittkau_Timmermann_Trächtler_2022, title={Autonomes
Putten mittels datengetriebener und physikbasierter Methoden}, DOI={10.5445/KSP/1000151141},
booktitle={Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. -
2. Dezember 2022}, author={Junker, Annika and Fittkau, Niklas and Timmermann,
Julia and Trächtler, Ansgar}, year={2022}, pages={119–124} }'
chicago: 'Junker, Annika, Niklas Fittkau, Julia Timmermann, and Ansgar Trächtler.
“Autonomes Putten Mittels Datengetriebener Und Physikbasierter Methoden.” In Proceedings
- 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022,
119–24, 2022. https://doi.org/10.5445/KSP/1000151141.'
ieee: 'A. Junker, N. Fittkau, J. Timmermann, and A. Trächtler, “Autonomes Putten
mittels datengetriebener und physikbasierter Methoden,” in Proceedings - 32.
Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022, Berlin,
Germany, 2022, pp. 119–124, doi: 10.5445/KSP/1000151141.'
mla: 'Junker, Annika, et al. “Autonomes Putten Mittels Datengetriebener Und Physikbasierter
Methoden.” Proceedings - 32. Workshop Computational Intelligence: Berlin, 1.
- 2. Dezember 2022, 2022, pp. 119–24, doi:10.5445/KSP/1000151141.'
short: 'A. Junker, N. Fittkau, J. Timmermann, A. Trächtler, in: Proceedings - 32.
Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022, 2022, pp.
119–124.'
conference:
end_date: 2022-12-02
location: Berlin, Germany
name: 32. Workshop Computational Intelligence
start_date: 2022-12-01
date_created: 2022-11-04T10:08:39Z
date_updated: 2026-04-01T05:59:13Z
department:
- _id: '153'
- _id: '880'
doi: 10.5445/KSP/1000151141
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://publikationen.bibliothek.kit.edu/1000151141
oa: '1'
page: 119-124
project:
- _id: '690'
name: 'DART: Datengetriebene Methoden in der Regelungstechnik'
publication: 'Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. -
2. Dezember 2022'
quality_controlled: '1'
status: public
title: Autonomes Putten mittels datengetriebener und physikbasierter Methoden
type: conference
user_id: '41470'
year: '2022'
...
---
_id: '50071'
author:
- first_name: Annika
full_name: Junker, Annika
id: '41470'
last_name: Junker
orcid: 0009-0002-6475-2503
- first_name: Julia
full_name: Timmermann, Julia
id: '15402'
last_name: Timmermann
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: Junker A, Timmermann J, Trächtler A. Learning Data-Driven PCHD Models for Control
Engineering Applications*. IFAC-PapersOnLine. 2022;55(12):389-394. doi:10.1016/j.ifacol.2022.07.343
apa: Junker, A., Timmermann, J., & Trächtler, A. (2022). Learning Data-Driven
PCHD Models for Control Engineering Applications*. IFAC-PapersOnLine, 55(12),
389–394. https://doi.org/10.1016/j.ifacol.2022.07.343
bibtex: '@article{Junker_Timmermann_Trächtler_2022, title={Learning Data-Driven
PCHD Models for Control Engineering Applications*}, volume={55}, DOI={10.1016/j.ifacol.2022.07.343},
number={12}, journal={IFAC-PapersOnLine}, publisher={Elsevier BV}, author={Junker,
Annika and Timmermann, Julia and Trächtler, Ansgar}, year={2022}, pages={389–394}
}'
chicago: 'Junker, Annika, Julia Timmermann, and Ansgar Trächtler. “Learning Data-Driven
PCHD Models for Control Engineering Applications*.” IFAC-PapersOnLine 55,
no. 12 (2022): 389–94. https://doi.org/10.1016/j.ifacol.2022.07.343.'
ieee: 'A. Junker, J. Timmermann, and A. Trächtler, “Learning Data-Driven PCHD Models
for Control Engineering Applications*,” IFAC-PapersOnLine, vol. 55, no.
12, pp. 389–394, 2022, doi: 10.1016/j.ifacol.2022.07.343.'
mla: Junker, Annika, et al. “Learning Data-Driven PCHD Models for Control Engineering
Applications*.” IFAC-PapersOnLine, vol. 55, no. 12, Elsevier BV, 2022,
pp. 389–94, doi:10.1016/j.ifacol.2022.07.343.
short: A. Junker, J. Timmermann, A. Trächtler, IFAC-PapersOnLine 55 (2022) 389–394.
date_created: 2023-12-25T11:59:49Z
date_updated: 2026-04-01T06:15:18Z
department:
- _id: '153'
- _id: '880'
doi: 10.1016/j.ifacol.2022.07.343
intvolume: ' 55'
issue: '12'
keyword:
- Control and Systems Engineering
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1016/j.ifacol.2022.07.343
oa: '1'
page: 389-394
project:
- _id: '690'
name: 'DART: Datengetriebene Methoden in der Regelungstechnik'
publication: IFAC-PapersOnLine
publication_identifier:
issn:
- 2405-8963
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: Learning Data-Driven PCHD Models for Control Engineering Applications*
type: journal_article
user_id: '41470'
volume: 55
year: '2022'
...
---
_id: '26180'
author:
- first_name: Jan
full_name: Michael, Jan
last_name: Michael
- first_name: Eva-Maria
full_name: Grote, Eva-Maria
last_name: Grote
- first_name: Stefan
full_name: Pfeifer, Stefan
last_name: Pfeifer
- first_name: Rik
full_name: Rasor, Rik
last_name: Rasor
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
- first_name: Lydia
full_name: Kaiser, Lydia
last_name: Kaiser
citation:
ama: 'Michael J, Grote E-M, Pfeifer S, et al. Towards the Concept of a Digital Green
Twin for a Sustainable Product Lifecycle. In: ; 2021.'
apa: Michael, J., Grote, E.-M., Pfeifer, S., Rasor, R., Henke, C., Trächtler, A.,
& Kaiser, L. (2021). Towards the Concept of a Digital Green Twin for a
Sustainable Product Lifecycle. 1st International Conference on Water Energy
Food and Sustainability (ICoWEFS).
bibtex: '@inproceedings{Michael_Grote_Pfeifer_Rasor_Henke_Trächtler_Kaiser_2021,
title={Towards the Concept of a Digital Green Twin for a Sustainable Product Lifecycle},
author={Michael, Jan and Grote, Eva-Maria and Pfeifer, Stefan and Rasor, Rik and
Henke, Christian and Trächtler, Ansgar and Kaiser, Lydia}, year={2021} }'
chicago: Michael, Jan, Eva-Maria Grote, Stefan Pfeifer, Rik Rasor, Christian Henke,
Ansgar Trächtler, and Lydia Kaiser. “Towards the Concept of a Digital Green Twin
for a Sustainable Product Lifecycle,” 2021.
ieee: J. Michael et al., “Towards the Concept of a Digital Green Twin for
a Sustainable Product Lifecycle,” presented at the 1st International Conference
on Water Energy Food and Sustainability (ICoWEFS), 2021.
mla: Michael, Jan, et al. Towards the Concept of a Digital Green Twin for a Sustainable
Product Lifecycle. 2021.
short: 'J. Michael, E.-M. Grote, S. Pfeifer, R. Rasor, C. Henke, A. Trächtler, L.
Kaiser, in: 2021.'
conference:
name: 1st International Conference on Water Energy Food and Sustainability (ICoWEFS)
date_created: 2021-10-15T07:06:29Z
date_updated: 2022-01-06T06:57:17Z
department:
- _id: '241'
- _id: '153'
language:
- iso: eng
status: public
title: Towards the Concept of a Digital Green Twin for a Sustainable Product Lifecycle
type: conference
user_id: '24876'
year: '2021'
...
---
_id: '26997'
author:
- first_name: Meik
full_name: Ehlert, Meik
last_name: Ehlert
- first_name: Jan
full_name: Michael, Jan
last_name: Michael
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
- first_name: Matthias
full_name: Kalla, Matthias
last_name: Kalla
- first_name: Bakr
full_name: Bagaber, Bakr
last_name: Bagaber
- first_name: Bernd
full_name: Ponick, Bernd
last_name: Ponick
- first_name: Axel
full_name: Mertens, Axel
last_name: Mertens
citation:
ama: 'Ehlert M, Michael J, Henke C, et al. Connecting Energy Storages from Tool
Independent, Signal-flow Oriented FMUs. In: Proceedings of the International
Conference on SMACD and 16th Conference on PRIME. ; 2021:164-167.'
apa: Ehlert, M., Michael, J., Henke, C., Trächtler, A., Kalla, M., Bagaber, B.,
Ponick, B., & Mertens, A. (2021). Connecting Energy Storages from Tool Independent,
Signal-flow Oriented FMUs. Proceedings of the International Conference on SMACD
and 16th Conference on PRIME, 164–167.
bibtex: '@inproceedings{Ehlert_Michael_Henke_Trächtler_Kalla_Bagaber_Ponick_Mertens_2021,
title={Connecting Energy Storages from Tool Independent, Signal-flow Oriented
FMUs}, booktitle={Proceedings of the International Conference on SMACD and 16th
Conference on PRIME}, author={Ehlert, Meik and Michael, Jan and Henke, Christian
and Trächtler, Ansgar and Kalla, Matthias and Bagaber, Bakr and Ponick, Bernd
and Mertens, Axel}, year={2021}, pages={164–167} }'
chicago: Ehlert, Meik, Jan Michael, Christian Henke, Ansgar Trächtler, Matthias
Kalla, Bakr Bagaber, Bernd Ponick, and Axel Mertens. “Connecting Energy Storages
from Tool Independent, Signal-Flow Oriented FMUs.” In Proceedings of the International
Conference on SMACD and 16th Conference on PRIME, 164–67, 2021.
ieee: M. Ehlert et al., “Connecting Energy Storages from Tool Independent,
Signal-flow Oriented FMUs,” in Proceedings of the International Conference
on SMACD and 16th Conference on PRIME, 2021, pp. 164–167.
mla: Ehlert, Meik, et al. “Connecting Energy Storages from Tool Independent, Signal-Flow
Oriented FMUs.” Proceedings of the International Conference on SMACD and 16th
Conference on PRIME, 2021, pp. 164–67.
short: 'M. Ehlert, J. Michael, C. Henke, A. Trächtler, M. Kalla, B. Bagaber, B.
Ponick, A. Mertens, in: Proceedings of the International Conference on SMACD and
16th Conference on PRIME, 2021, pp. 164–167.'
conference:
name: International Conference on SMACD and 16th Conference on PRIME
date_created: 2021-10-29T05:55:52Z
date_updated: 2022-01-06T06:57:32Z
department:
- _id: '241'
- _id: '153'
language:
- iso: eng
page: 164-167
publication: Proceedings of the International Conference on SMACD and 16th Conference
on PRIME
status: public
title: Connecting Energy Storages from Tool Independent, Signal-flow Oriented FMUs
type: conference
user_id: '24876'
year: '2021'
...
---
_id: '27123'
author:
- first_name: Vladimir I.
full_name: Poddubnyi, Vladimir I.
last_name: Poddubnyi
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
- first_name: Andreas
full_name: Warkentin, Andreas
last_name: Warkentin
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
citation:
ama: Poddubnyi VI, Trächtler A, Warkentin A, Henke C. Model of a Triangular Caterpillar
Drive and Analysis of Vertical Vehicle Dynamics. Russian Engineering Research.
2021;41(3):198-201.
apa: Poddubnyi, V. I., Trächtler, A., Warkentin, A., & Henke, C. (2021). Model
of a Triangular Caterpillar Drive and Analysis of Vertical Vehicle Dynamics. Russian
Engineering Research, 41(3), 198–201.
bibtex: '@article{Poddubnyi_Trächtler_Warkentin_Henke_2021, title={Model of a Triangular
Caterpillar Drive and Analysis of Vertical Vehicle Dynamics}, volume={41}, number={3},
journal={Russian Engineering Research}, publisher={Springer}, author={Poddubnyi,
Vladimir I. and Trächtler, Ansgar and Warkentin, Andreas and Henke, Christian},
year={2021}, pages={198–201} }'
chicago: 'Poddubnyi, Vladimir I., Ansgar Trächtler, Andreas Warkentin, and Christian
Henke. “Model of a Triangular Caterpillar Drive and Analysis of Vertical Vehicle
Dynamics.” Russian Engineering Research 41, no. 3 (2021): 198–201.'
ieee: V. I. Poddubnyi, A. Trächtler, A. Warkentin, and C. Henke, “Model of a Triangular
Caterpillar Drive and Analysis of Vertical Vehicle Dynamics,” Russian Engineering
Research, vol. 41, no. 3, pp. 198–201, 2021.
mla: Poddubnyi, Vladimir I., et al. “Model of a Triangular Caterpillar Drive and
Analysis of Vertical Vehicle Dynamics.” Russian Engineering Research, vol.
41, no. 3, Springer, 2021, pp. 198–201.
short: V.I. Poddubnyi, A. Trächtler, A. Warkentin, C. Henke, Russian Engineering
Research 41 (2021) 198–201.
date_created: 2021-11-03T13:23:10Z
date_updated: 2022-01-06T06:57:35Z
department:
- _id: '241'
- _id: '153'
intvolume: ' 41'
issue: '3'
language:
- iso: eng
page: 198-201
publication: Russian Engineering Research
publisher: Springer
status: public
title: Model of a Triangular Caterpillar Drive and Analysis of Vertical Vehicle Dynamics
type: journal_article
user_id: '24876'
volume: 41
year: '2021'
...
---
_id: '23576'
author:
- first_name: Patrick
full_name: Biemelt, Patrick
id: '24876'
last_name: Biemelt
- first_name: Sabrina
full_name: Böhm, Sabrina
last_name: Böhm
- first_name: Sandra
full_name: Gausemeier, Sandra
id: '17793'
last_name: Gausemeier
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Biemelt P, Böhm S, Gausemeier S, Trächtler A. Subjective Evaluation of Filter-
and Optimization-Based Motion Cueing Algorithms for a Hybrid Kinematics Driving
Simulator. In: Proceedings of the IEEE International Conference on Systems,
Man, and Cybernetics (SMC). ; 2021:1619-1626.'
apa: Biemelt, P., Böhm, S., Gausemeier, S., & Trächtler, A. (2021). Subjective
Evaluation of Filter- and Optimization-Based Motion Cueing Algorithms for a Hybrid
Kinematics Driving Simulator. Proceedings of the IEEE International Conference
on Systems, Man, and Cybernetics (SMC), 1619–1626.
bibtex: '@inproceedings{Biemelt_Böhm_Gausemeier_Trächtler_2021, title={Subjective
Evaluation of Filter- and Optimization-Based Motion Cueing Algorithms for a Hybrid
Kinematics Driving Simulator}, booktitle={Proceedings of the IEEE International
Conference on Systems, Man, and Cybernetics (SMC)}, author={Biemelt, Patrick and
Böhm, Sabrina and Gausemeier, Sandra and Trächtler, Ansgar}, year={2021}, pages={1619–1626}
}'
chicago: Biemelt, Patrick, Sabrina Böhm, Sandra Gausemeier, and Ansgar Trächtler.
“Subjective Evaluation of Filter- and Optimization-Based Motion Cueing Algorithms
for a Hybrid Kinematics Driving Simulator.” In Proceedings of the IEEE International
Conference on Systems, Man, and Cybernetics (SMC), 1619–26, 2021.
ieee: P. Biemelt, S. Böhm, S. Gausemeier, and A. Trächtler, “Subjective Evaluation
of Filter- and Optimization-Based Motion Cueing Algorithms for a Hybrid Kinematics
Driving Simulator,” in Proceedings of the IEEE International Conference on
Systems, Man, and Cybernetics (SMC), Melbourne, Australia, 2021, pp. 1619–1626.
mla: Biemelt, Patrick, et al. “Subjective Evaluation of Filter- and Optimization-Based
Motion Cueing Algorithms for a Hybrid Kinematics Driving Simulator.” Proceedings
of the IEEE International Conference on Systems, Man, and Cybernetics (SMC),
2021, pp. 1619–26.
short: 'P. Biemelt, S. Böhm, S. Gausemeier, A. Trächtler, in: Proceedings of the
IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2021, pp.
1619–1626.'
conference:
end_date: 2021-10-20
location: Melbourne, Australia
name: IEEE International Conference on Systems, Man, and Cybernetics (SMC)
start_date: 2021-10-17
date_created: 2021-08-30T12:58:00Z
date_updated: 2022-01-06T06:55:57Z
department:
- _id: '153'
language:
- iso: eng
page: 1619 - 1626
publication: Proceedings of the IEEE International Conference on Systems, Man, and
Cybernetics (SMC)
status: public
title: Subjective Evaluation of Filter- and Optimization-Based Motion Cueing Algorithms
for a Hybrid Kinematics Driving Simulator
type: conference
user_id: '24876'
year: '2021'
...
---
_id: '22961'
author:
- first_name: Stefan
full_name: Schütz, Stefan
last_name: Schütz
- first_name: Nikolaus
full_name: Elsner, Nikolaus
last_name: Elsner
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Schütz S, Elsner N, Henke C, Trächtler A. Kraftsensitive Kalibriermethode
für Industrieroboter. In: Fachtagung VDI MECHATRONIK 2021. ; 2021.'
apa: Schütz, S., Elsner, N., Henke, C., & Trächtler, A. (2021). Kraftsensitive
Kalibriermethode für Industrieroboter. In Fachtagung VDI MECHATRONIK 2021.
bibtex: '@inproceedings{Schütz_Elsner_Henke_Trächtler_2021, title={Kraftsensitive
Kalibriermethode für Industrieroboter}, booktitle={Fachtagung VDI MECHATRONIK
2021}, author={Schütz, Stefan and Elsner, Nikolaus and Henke, Christian and Trächtler,
Ansgar}, year={2021} }'
chicago: Schütz, Stefan, Nikolaus Elsner, Christian Henke, and Ansgar Trächtler.
“Kraftsensitive Kalibriermethode Für Industrieroboter.” In Fachtagung VDI MECHATRONIK
2021, 2021.
ieee: S. Schütz, N. Elsner, C. Henke, and A. Trächtler, “Kraftsensitive Kalibriermethode
für Industrieroboter,” in Fachtagung VDI MECHATRONIK 2021, 2021.
mla: Schütz, Stefan, et al. “Kraftsensitive Kalibriermethode Für Industrieroboter.”
Fachtagung VDI MECHATRONIK 2021, 2021.
short: 'S. Schütz, N. Elsner, C. Henke, A. Trächtler, in: Fachtagung VDI MECHATRONIK
2021, 2021.'
date_created: 2021-08-09T05:16:45Z
date_updated: 2022-01-06T06:55:44Z
department:
- _id: '153'
- _id: '241'
language:
- iso: eng
publication: Fachtagung VDI MECHATRONIK 2021
status: public
title: Kraftsensitive Kalibriermethode für Industrieroboter
type: conference
user_id: '24876'
year: '2021'
...
---
_id: '22962'
author:
- first_name: Stefan
full_name: Schütz, Stefan
last_name: Schütz
- first_name: Arne Thorsten
full_name: Rüting, Arne Thorsten
last_name: Rüting
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: Schütz S, Rüting AT, Henke C, Trächtler A. Echtzeitfähige Planung optimierter
Trajektorien für sensorgeführte, kinematisch redundante Robotersysteme auf einer
Industriesteuerung. at-Automatisierungstechnik. 2021;69(3):231-241.
apa: Schütz, S., Rüting, A. T., Henke, C., & Trächtler, A. (2021). Echtzeitfähige
Planung optimierter Trajektorien für sensorgeführte, kinematisch redundante Robotersysteme
auf einer Industriesteuerung. At-Automatisierungstechnik, 69(3),
231–241.
bibtex: '@article{Schütz_Rüting_Henke_Trächtler_2021, title={Echtzeitfähige Planung
optimierter Trajektorien für sensorgeführte, kinematisch redundante Robotersysteme
auf einer Industriesteuerung}, volume={69}, number={3}, journal={at-Automatisierungstechnik},
author={Schütz, Stefan and Rüting, Arne Thorsten and Henke, Christian and Trächtler,
Ansgar}, year={2021}, pages={231–241} }'
chicago: 'Schütz, Stefan, Arne Thorsten Rüting, Christian Henke, and Ansgar Trächtler.
“Echtzeitfähige Planung Optimierter Trajektorien Für Sensorgeführte, Kinematisch
Redundante Robotersysteme Auf Einer Industriesteuerung.” At-Automatisierungstechnik
69, no. 3 (2021): 231–41.'
ieee: S. Schütz, A. T. Rüting, C. Henke, and A. Trächtler, “Echtzeitfähige Planung
optimierter Trajektorien für sensorgeführte, kinematisch redundante Robotersysteme
auf einer Industriesteuerung,” at-Automatisierungstechnik, vol. 69, no.
3, pp. 231–241, 2021.
mla: Schütz, Stefan, et al. “Echtzeitfähige Planung Optimierter Trajektorien Für
Sensorgeführte, Kinematisch Redundante Robotersysteme Auf Einer Industriesteuerung.”
At-Automatisierungstechnik, vol. 69, no. 3, 2021, pp. 231–41.
short: S. Schütz, A.T. Rüting, C. Henke, A. Trächtler, At-Automatisierungstechnik
69 (2021) 231–241.
date_created: 2021-08-09T05:16:47Z
date_updated: 2022-01-06T06:55:44Z
department:
- _id: '153'
- _id: '241'
intvolume: ' 69'
issue: '3'
language:
- iso: eng
page: 231-241
publication: at-Automatisierungstechnik
status: public
title: Echtzeitfähige Planung optimierter Trajektorien für sensorgeführte, kinematisch
redundante Robotersysteme auf einer Industriesteuerung
type: journal_article
user_id: '24876'
volume: 69
year: '2021'
...
---
_id: '23469'
abstract:
- lang: eng
text: The implementation of control systems in metal forming processes improves
product quality and productivity. By controlling workpiece properties during the
process, beneficial effects caused by forming can be exploited and integrated
in the product design. The overall goal of this investigation is to produce tailored
tubular parts with a defined locally graded microstructure by means of reverse
flow forming. For this purpose, the proposed system aims to control both the desired
geometry of the workpiece and additionally the formation of strain-induced α′-martensite
content in the metastable austenitic stainless steel AISI 304 L. The paper introduces
an overall control scheme, a geometry model for describing the process and changes
in the dimensions of the workpiece, as well as a material model for the process-induced
formation of martensite, providing equations based on empirical data. Moreover,
measurement systems providing a closed feedback loop are presented, including
a novel softsensor for in-situ measurements of the martensite content.
article_number: '100057'
author:
- first_name: Markus
full_name: Riepold, Markus
last_name: Riepold
- first_name: Bahman
full_name: Arian, Bahman
id: '36287'
last_name: Arian
- first_name: Julian Rozo
full_name: Vasquez, Julian Rozo
last_name: Vasquez
- first_name: Werner
full_name: Homberg, Werner
id: '233'
last_name: Homberg
- first_name: Frank
full_name: Walther, Frank
last_name: Walther
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: Riepold M, Arian B, Vasquez JR, Homberg W, Walther F, Trächtler A. Model approaches
for closed-loop property control for flow forming. Advances in Industrial and
Manufacturing Engineering. Published online 2021. doi:10.1016/j.aime.2021.100057
apa: Riepold, M., Arian, B., Vasquez, J. R., Homberg, W., Walther, F., & Trächtler,
A. (2021). Model approaches for closed-loop property control for flow forming.
Advances in Industrial and Manufacturing Engineering, Article 100057. https://doi.org/10.1016/j.aime.2021.100057
bibtex: '@article{Riepold_Arian_Vasquez_Homberg_Walther_Trächtler_2021, title={Model
approaches for closed-loop property control for flow forming}, DOI={10.1016/j.aime.2021.100057},
number={100057}, journal={Advances in Industrial and Manufacturing Engineering},
author={Riepold, Markus and Arian, Bahman and Vasquez, Julian Rozo and Homberg,
Werner and Walther, Frank and Trächtler, Ansgar}, year={2021} }'
chicago: Riepold, Markus, Bahman Arian, Julian Rozo Vasquez, Werner Homberg, Frank
Walther, and Ansgar Trächtler. “Model Approaches for Closed-Loop Property Control
for Flow Forming.” Advances in Industrial and Manufacturing Engineering,
2021. https://doi.org/10.1016/j.aime.2021.100057.
ieee: 'M. Riepold, B. Arian, J. R. Vasquez, W. Homberg, F. Walther, and A. Trächtler,
“Model approaches for closed-loop property control for flow forming,” Advances
in Industrial and Manufacturing Engineering, Art. no. 100057, 2021, doi: 10.1016/j.aime.2021.100057.'
mla: Riepold, Markus, et al. “Model Approaches for Closed-Loop Property Control
for Flow Forming.” Advances in Industrial and Manufacturing Engineering,
100057, 2021, doi:10.1016/j.aime.2021.100057.
short: M. Riepold, B. Arian, J.R. Vasquez, W. Homberg, F. Walther, A. Trächtler,
Advances in Industrial and Manufacturing Engineering (2021).
date_created: 2021-08-23T13:23:05Z
date_updated: 2023-12-15T09:39:21Z
department:
- _id: '156'
- _id: '153'
- _id: '241'
doi: 10.1016/j.aime.2021.100057
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
publication: Advances in Industrial and Manufacturing Engineering
publication_identifier:
issn:
- 2666-9129
publication_status: published
quality_controlled: '1'
status: public
title: Model approaches for closed-loop property control for flow forming
type: journal_article
user_id: '36287'
year: '2021'
...
---
_id: '42070'
author:
- first_name: Simon
full_name: Olma, Simon
last_name: Olma
citation:
ama: Olma S. Systemtheorie von Hardware-in-the-Loop-Simulationen mit Anwendung
auf einem Fahrzeugachsprüfstand mit parallelkinematischem Lastsimulator. Vol
404. Verlagsschriftenreihe des Heinz Nixdorf Instituts; 2021.
apa: Olma, S. (2021). Systemtheorie von Hardware-in-the-Loop-Simulationen mit
Anwendung auf einem Fahrzeugachsprüfstand mit parallelkinematischem Lastsimulator
(Vol. 404). Verlagsschriftenreihe des Heinz Nixdorf Instituts.
bibtex: '@book{Olma_2021, title={Systemtheorie von Hardware-in-the-Loop-Simulationen
mit Anwendung auf einem Fahrzeugachsprüfstand mit parallelkinematischem Lastsimulator},
volume={404}, publisher={Verlagsschriftenreihe des Heinz Nixdorf Instituts}, author={Olma,
Simon}, year={2021} }'
chicago: Olma, Simon. Systemtheorie von Hardware-in-the-Loop-Simulationen mit
Anwendung auf einem Fahrzeugachsprüfstand mit parallelkinematischem Lastsimulator.
Vol. 404. Verlagsschriftenreihe des Heinz Nixdorf Instituts, 2021.
ieee: S. Olma, Systemtheorie von Hardware-in-the-Loop-Simulationen mit Anwendung
auf einem Fahrzeugachsprüfstand mit parallelkinematischem Lastsimulator, vol.
404. Verlagsschriftenreihe des Heinz Nixdorf Instituts, 2021.
mla: Olma, Simon. Systemtheorie von Hardware-in-the-Loop-Simulationen mit Anwendung
auf einem Fahrzeugachsprüfstand mit parallelkinematischem Lastsimulator. Verlagsschriftenreihe
des Heinz Nixdorf Instituts, 2021.
short: S. Olma, Systemtheorie von Hardware-in-the-Loop-Simulationen mit Anwendung
auf einem Fahrzeugachsprüfstand mit parallelkinematischem Lastsimulator, Verlagsschriftenreihe
des Heinz Nixdorf Instituts, 2021.
date_created: 2023-02-14T10:58:48Z
date_updated: 2024-07-12T12:06:28Z
department:
- _id: '153'
- _id: '26'
intvolume: ' 404'
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://digital.ub.uni-paderborn.de/doi/10.17619/UNIPB/1-1294
oa: '1'
publication_identifier:
isbn:
- '9783947647231'
publication_status: published
publisher: Verlagsschriftenreihe des Heinz Nixdorf Instituts
status: public
supervisor:
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
title: Systemtheorie von Hardware-in-the-Loop-Simulationen mit Anwendung auf einem
Fahrzeugachsprüfstand mit parallelkinematischem Lastsimulator
type: dissertation
user_id: '1112'
volume: 404
year: '2021'
...
---
_id: '42069'
author:
- first_name: Christopher
full_name: Lankeit, Christopher
last_name: Lankeit
citation:
ama: Lankeit C. Systematik zur Evolution technischer Anforderungen.; 2021.
apa: Lankeit, C. (2021). Systematik zur Evolution technischer Anforderungen.
bibtex: '@book{Lankeit_2021, title={Systematik zur Evolution technischer Anforderungen},
author={Lankeit, Christopher}, year={2021} }'
chicago: Lankeit, Christopher. Systematik zur Evolution technischer Anforderungen,
2021.
ieee: C. Lankeit, Systematik zur Evolution technischer Anforderungen. 2021.
mla: Lankeit, Christopher. Systematik zur Evolution technischer Anforderungen.
2021.
short: C. Lankeit, Systematik zur Evolution technischer Anforderungen, 2021.
date_created: 2023-02-14T10:56:35Z
date_updated: 2023-02-15T11:15:37Z
department:
- _id: '153'
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://digital.ub.uni-paderborn.de/urn/urn:nbn:de:hbz:466:2-40151
oa: '1'
publication_status: published
status: public
supervisor:
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
title: Systematik zur Evolution technischer Anforderungen
type: dissertation
user_id: '82875'
year: '2021'
...
---
_id: '28370'
author:
- first_name: Andreas
full_name: Kohlstedt, Andreas
last_name: Kohlstedt
citation:
ama: Kohlstedt A. Modellbasierte Synthese einer hybriden Kraft-/Positionsregelung
für einen Fahrzeugachsprüfstand mit hydraulischem Hexapod. Vol 396. Verlagsschriftenreihe
des Heinz Nixdorf Instituts, Paderborn; 2021.
apa: Kohlstedt, A. (2021). Modellbasierte Synthese einer hybriden Kraft-/Positionsregelung
für einen Fahrzeugachsprüfstand mit hydraulischem Hexapod (Vol. 396). Verlagsschriftenreihe
des Heinz Nixdorf Instituts, Paderborn.
bibtex: '@book{Kohlstedt_2021, series={Verlagsschriftenreihe des Heinz Nixdorf Instituts,
Paderborn}, title={Modellbasierte Synthese einer hybriden Kraft-/Positionsregelung
für einen Fahrzeugachsprüfstand mit hydraulischem Hexapod}, volume={396}, publisher={Verlagsschriftenreihe
des Heinz Nixdorf Instituts, Paderborn}, author={Kohlstedt, Andreas}, year={2021},
collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn} }'
chicago: Kohlstedt, Andreas. Modellbasierte Synthese einer hybriden Kraft-/Positionsregelung
für einen Fahrzeugachsprüfstand mit hydraulischem Hexapod. Vol. 396. Verlagsschriftenreihe
des Heinz Nixdorf Instituts, Paderborn. Verlagsschriftenreihe des Heinz Nixdorf
Instituts, Paderborn, 2021.
ieee: A. Kohlstedt, Modellbasierte Synthese einer hybriden Kraft-/Positionsregelung
für einen Fahrzeugachsprüfstand mit hydraulischem Hexapod, vol. 396. Verlagsschriftenreihe
des Heinz Nixdorf Instituts, Paderborn, 2021.
mla: Kohlstedt, Andreas. Modellbasierte Synthese einer hybriden Kraft-/Positionsregelung
für einen Fahrzeugachsprüfstand mit hydraulischem Hexapod. Verlagsschriftenreihe
des Heinz Nixdorf Instituts, Paderborn, 2021.
short: A. Kohlstedt, Modellbasierte Synthese einer hybriden Kraft-/Positionsregelung
für einen Fahrzeugachsprüfstand mit hydraulischem Hexapod, Verlagsschriftenreihe
des Heinz Nixdorf Instituts, Paderborn, 2021.
date_created: 2021-12-07T13:40:14Z
date_updated: 2023-02-24T13:01:32Z
department:
- _id: '26'
- _id: '153'
intvolume: ' 396'
language:
- iso: ger
publication_identifier:
isbn:
- 978-3-947647-15-6
publication_status: published
publisher: Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn
series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn
status: public
title: Modellbasierte Synthese einer hybriden Kraft-/Positionsregelung für einen Fahrzeugachsprüfstand
mit hydraulischem Hexapod
type: dissertation
user_id: '14931'
volume: 396
year: '2021'
...
---
_id: '30297'
author:
- first_name: Julian
full_name: Rozo Vasquez, Julian
last_name: Rozo Vasquez
- first_name: Bahman
full_name: Arian, Bahman
id: '36287'
last_name: Arian
- first_name: Markus
full_name: Riepold, Markus
last_name: Riepold
- first_name: Frank
full_name: Walther, Frank
last_name: Walther
- first_name: Werner
full_name: Homberg, Werner
id: '233'
last_name: Homberg
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Rozo Vasquez J, Arian B, Riepold M, Walther F, Homberg W, Trächtler A. Magnetic
Barkhausen noise analysis for microstructural effects separation during flow forming
of metastable austenite 304L. In: Proceedings of the 11th International Workshop
NDT in Progress. ; 2021.'
apa: Rozo Vasquez, J., Arian, B., Riepold, M., Walther, F., Homberg, W., & Trächtler,
A. (2021). Magnetic Barkhausen noise analysis for microstructural effects separation
during flow forming of metastable austenite 304L. Proceedings of the 11th International
Workshop NDT in Progress. ENDT&CM 2021 - 11th International Workshop
NDT in Progress, Prague.
bibtex: '@inproceedings{Rozo Vasquez_Arian_Riepold_Walther_Homberg_Trächtler_2021,
title={Magnetic Barkhausen noise analysis for microstructural effects separation
during flow forming of metastable austenite 304L.}, booktitle={Proceedings of
the 11th International Workshop NDT in Progress}, author={Rozo Vasquez, Julian
and Arian, Bahman and Riepold, Markus and Walther, Frank and Homberg, Werner and
Trächtler, Ansgar}, year={2021} }'
chicago: Rozo Vasquez, Julian, Bahman Arian, Markus Riepold, Frank Walther, Werner
Homberg, and Ansgar Trächtler. “Magnetic Barkhausen Noise Analysis for Microstructural
Effects Separation during Flow Forming of Metastable Austenite 304L.” In Proceedings
of the 11th International Workshop NDT in Progress, 2021.
ieee: J. Rozo Vasquez, B. Arian, M. Riepold, F. Walther, W. Homberg, and A. Trächtler,
“Magnetic Barkhausen noise analysis for microstructural effects separation during
flow forming of metastable austenite 304L.,” presented at the ENDT&CM 2021
- 11th International Workshop NDT in Progress, Prague, 2021.
mla: Rozo Vasquez, Julian, et al. “Magnetic Barkhausen Noise Analysis for Microstructural
Effects Separation during Flow Forming of Metastable Austenite 304L.” Proceedings
of the 11th International Workshop NDT in Progress, 2021.
short: 'J. Rozo Vasquez, B. Arian, M. Riepold, F. Walther, W. Homberg, A. Trächtler,
in: Proceedings of the 11th International Workshop NDT in Progress, 2021.'
conference:
end_date: 2021.10.07
location: Prague
name: ENDT&CM 2021 - 11th International Workshop NDT in Progress
start_date: 2021.10.04
date_created: 2022-03-15T12:07:17Z
date_updated: 2023-05-02T08:22:02Z
department:
- _id: '156'
- _id: '153'
- _id: '241'
language:
- iso: eng
publication: Proceedings of the 11th International Workshop NDT in Progress
quality_controlled: '1'
status: public
title: Magnetic Barkhausen noise analysis for microstructural effects separation during
flow forming of metastable austenite 304L.
type: conference
user_id: '36287'
year: '2021'
...
---
_id: '23465'
abstract:
- lang: eng
text: One of the main objectives of production engineering is to reproducibly manufacture
(complex) defect-free parts. To achieve this, it is necessary to employ an appropriate
process or tool design. While this will generally prove successful, it cannot,
however, offset stochastic defects with local variations in material properties.
Closed-loop process control represents a promising approach for a solution in
this context. The state of the art involves using this approach to control geometric
parameters such as a length. So far, no research or applications have been conducted
with closed-loop control for microstructure and product properties. In the project
on which this paper is based, the local martensite content of parts is to be adjusted
in a highly precise and reproducible manner. The forming process employed is a
special, property-controlled flow-forming process. A model-based controller is
thus to generate corresponding correction values for the tool-path geometry and
tool-path velocity on the basis of online martensite content measurements. For
the controller model, it is planned to use a special process or microstructure
(correlation) model. The planned paper not only describes the experimental setup
but also presents results of initial experimental investigations for subsequent
use in the closed-loop control of α’-martensite content during flow-forming.
author:
- first_name: Bahman
full_name: Arian, Bahman
id: '36287'
last_name: Arian
- first_name: Werner
full_name: Homberg, Werner
id: '233'
last_name: Homberg
- first_name: Markus
full_name: Riepold, Markus
last_name: Riepold
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
- first_name: Julian
full_name: Rozo Vasquez, Julian
last_name: Rozo Vasquez
- first_name: Frank
full_name: Walther, Frank
last_name: Walther
citation:
ama: 'Arian B, Homberg W, Riepold M, Trächtler A, Rozo Vasquez J, Walther F. Forming
of metastable austenitic stainless steel tubes with axially graded martensite
content by flow-forming. In: ULiège Library; 2021.'
apa: Arian, B., Homberg, W., Riepold, M., Trächtler, A., Rozo Vasquez, J., &
Walther, F. (2021). Forming of metastable austenitic stainless steel tubes
with axially graded martensite content by flow-forming. 24th International
Conference on Material Forming - ESAFORM 2021, Liège, Belgium.
bibtex: '@inproceedings{Arian_Homberg_Riepold_Trächtler_Rozo Vasquez_Walther_2021,
place={Liège}, title={Forming of metastable austenitic stainless steel tubes with
axially graded martensite content by flow-forming}, publisher={ULiège Library},
author={Arian, Bahman and Homberg, Werner and Riepold, Markus and Trächtler, Ansgar
and Rozo Vasquez, Julian and Walther, Frank}, year={2021} }'
chicago: 'Arian, Bahman, Werner Homberg, Markus Riepold, Ansgar Trächtler, Julian
Rozo Vasquez, and Frank Walther. “Forming of Metastable Austenitic Stainless Steel
Tubes with Axially Graded Martensite Content by Flow-Forming.” Liège: ULiège Library,
2021.'
ieee: B. Arian, W. Homberg, M. Riepold, A. Trächtler, J. Rozo Vasquez, and F. Walther,
“Forming of metastable austenitic stainless steel tubes with axially graded martensite
content by flow-forming,” presented at the 24th International Conference on Material
Forming - ESAFORM 2021, Liège, Belgium, 2021.
mla: Arian, Bahman, et al. Forming of Metastable Austenitic Stainless Steel Tubes
with Axially Graded Martensite Content by Flow-Forming. ULiège Library, 2021.
short: 'B. Arian, W. Homberg, M. Riepold, A. Trächtler, J. Rozo Vasquez, F. Walther,
in: ULiège Library, Liège, 2021.'
conference:
end_date: 2021-04-16
location: Liège, Belgium
name: 24th International Conference on Material Forming - ESAFORM 2021
start_date: 2021-04-14
date_created: 2021-08-23T13:00:35Z
date_updated: 2023-05-02T08:27:48Z
department:
- _id: '156'
- _id: '153'
- _id: '241'
keyword:
- Flow-forming
- Spinning
- Process Strategy
- Martensite Content
- Property Control
- Micromagnetic Measurement
- Metastable Austenitic Stainless Steel
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://popups.uliege.be/esaform21/index.php?id=2759
oa: '1'
place: Liège
publication_identifier:
eisbn:
- 978-2-87019-303-7
isbn:
- 978-2-87019-302-0
publication_status: published
publisher: ULiège Library
quality_controlled: '1'
status: public
title: Forming of metastable austenitic stainless steel tubes with axially graded
martensite content by flow-forming
type: conference
user_id: '36287'
year: '2021'
...