---
_id: '30236'
abstract:
- lang: eng
text: "Recent reinforcement learning approaches for continuous control in wireless
mobile networks have shown impressive\r\nresults. But due to the lack of open
and compatible simulators, authors typically create their own simulation environments
for training and evaluation. This is cumbersome and time-consuming for authors
and limits reproducibility and comparability, ultimately impeding progress in
the field.\r\n\r\nTo this end, we propose mobile-env, a simple and open platform
for training, evaluating, and comparing reinforcement learning and conventional
approaches for continuous control in mobile wireless networks. mobile-env is lightweight
and implements the common OpenAI Gym interface and additional wrappers, which
allows connecting virtually any single-agent or multi-agent reinforcement learning
framework to the environment. While mobile-env provides sensible default values
and can be used out of the box, it also has many configuration options and is
easy to extend. We therefore believe mobile-env to be a valuable platform for
driving meaningful progress in autonomous coordination of\r\nwireless mobile networks."
author:
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Stefan
full_name: Werner, Stefan
last_name: Werner
- first_name: Ramin
full_name: Khalili, Ramin
last_name: Khalili
- first_name: Artur
full_name: Hecker, Artur
last_name: Hecker
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Schneider SB, Werner S, Khalili R, Hecker A, Karl H. mobile-env: An Open Platform
for Reinforcement Learning in Wireless Mobile Networks. In: IEEE/IFIP Network
Operations and Management Symposium (NOMS). IEEE; 2022.'
apa: 'Schneider, S. B., Werner, S., Khalili, R., Hecker, A., & Karl, H. (2022).
mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks.
IEEE/IFIP Network Operations and Management Symposium (NOMS). IEEE/IFIP
Network Operations and Management Symposium (NOMS), Budapest.'
bibtex: '@inproceedings{Schneider_Werner_Khalili_Hecker_Karl_2022, title={mobile-env:
An Open Platform for Reinforcement Learning in Wireless Mobile Networks}, booktitle={IEEE/IFIP
Network Operations and Management Symposium (NOMS)}, publisher={IEEE}, author={Schneider,
Stefan Balthasar and Werner, Stefan and Khalili, Ramin and Hecker, Artur and Karl,
Holger}, year={2022} }'
chicago: 'Schneider, Stefan Balthasar, Stefan Werner, Ramin Khalili, Artur Hecker,
and Holger Karl. “Mobile-Env: An Open Platform for Reinforcement Learning in Wireless
Mobile Networks.” In IEEE/IFIP Network Operations and Management Symposium
(NOMS). IEEE, 2022.'
ieee: 'S. B. Schneider, S. Werner, R. Khalili, A. Hecker, and H. Karl, “mobile-env:
An Open Platform for Reinforcement Learning in Wireless Mobile Networks,” presented
at the IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest,
2022.'
mla: 'Schneider, Stefan Balthasar, et al. “Mobile-Env: An Open Platform for Reinforcement
Learning in Wireless Mobile Networks.” IEEE/IFIP Network Operations and Management
Symposium (NOMS), IEEE, 2022.'
short: 'S.B. Schneider, S. Werner, R. Khalili, A. Hecker, H. Karl, in: IEEE/IFIP
Network Operations and Management Symposium (NOMS), IEEE, 2022.'
conference:
end_date: 2022-04-29
location: Budapest
name: IEEE/IFIP Network Operations and Management Symposium (NOMS)
start_date: 2022-04-25
date_created: 2022-03-10T18:28:14Z
date_updated: 2022-03-10T18:28:19Z
ddc:
- '004'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: stschn
date_created: 2022-03-10T18:25:41Z
date_updated: 2022-03-10T18:25:41Z
file_id: '30237'
file_name: author_version.pdf
file_size: 223412
relation: main_file
file_date_updated: 2022-03-10T18:25:41Z
has_accepted_license: '1'
keyword:
- wireless mobile networks
- network management
- continuous control
- cognitive networks
- autonomous coordination
- reinforcement learning
- gym environment
- simulation
- open source
language:
- iso: eng
oa: '1'
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
- _id: '16'
name: 'SFB 901 - C4: SFB 901 - Subproject C4'
publication: IEEE/IFIP Network Operations and Management Symposium (NOMS)
publisher: IEEE
quality_controlled: '1'
status: public
title: 'mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile
Networks'
type: conference
user_id: '35343'
year: '2022'
...
---
_id: '30861'
abstract:
- lang: eng
text: AbstractWe consider the problem of maximization
of metabolite production in bacterial cells formulated as a dynamical optimal
control problem (DOCP). According to Pontryagin’s maximum principle, optimal solutions
are concatenations of singular and bang arcs and exhibit the chattering or Fuller
phenomenon, which is problematic for applications. To avoid chattering, we introduce
a reduced model which is still biologically relevant and retains the important
structural features of the original problem. Using a combination of analytical
and numerical methods, we show that the singular arc is dominant in the studied
DOCPs and exhibits the turnpike property. This property
is further used in order to design simple and realistic suboptimal control strategies.
author:
- first_name: Jean-Baptiste
full_name: Caillau, Jean-Baptiste
last_name: Caillau
- first_name: Walid
full_name: Djema, Walid
last_name: Djema
- first_name: Jean-Luc
full_name: Gouzé, Jean-Luc
last_name: Gouzé
- first_name: Sofya
full_name: Maslovskaya, Sofya
id: '87909'
last_name: Maslovskaya
- first_name: Jean-Baptiste
full_name: Pomet, Jean-Baptiste
last_name: Pomet
citation:
ama: Caillau J-B, Djema W, Gouzé J-L, Maslovskaya S, Pomet J-B. Turnpike Property
in Optimal Microbial Metabolite Production. Journal of Optimization Theory
and Applications. Published online 2022. doi:10.1007/s10957-022-02023-0
apa: Caillau, J.-B., Djema, W., Gouzé, J.-L., Maslovskaya, S., & Pomet, J.-B.
(2022). Turnpike Property in Optimal Microbial Metabolite Production. Journal
of Optimization Theory and Applications. https://doi.org/10.1007/s10957-022-02023-0
bibtex: '@article{Caillau_Djema_Gouzé_Maslovskaya_Pomet_2022, title={Turnpike Property
in Optimal Microbial Metabolite Production}, DOI={10.1007/s10957-022-02023-0},
journal={Journal of Optimization Theory and Applications}, publisher={Springer
Science and Business Media LLC}, author={Caillau, Jean-Baptiste and Djema, Walid
and Gouzé, Jean-Luc and Maslovskaya, Sofya and Pomet, Jean-Baptiste}, year={2022}
}'
chicago: Caillau, Jean-Baptiste, Walid Djema, Jean-Luc Gouzé, Sofya Maslovskaya,
and Jean-Baptiste Pomet. “Turnpike Property in Optimal Microbial Metabolite Production.”
Journal of Optimization Theory and Applications, 2022. https://doi.org/10.1007/s10957-022-02023-0.
ieee: 'J.-B. Caillau, W. Djema, J.-L. Gouzé, S. Maslovskaya, and J.-B. Pomet, “Turnpike
Property in Optimal Microbial Metabolite Production,” Journal of Optimization
Theory and Applications, 2022, doi: 10.1007/s10957-022-02023-0.'
mla: Caillau, Jean-Baptiste, et al. “Turnpike Property in Optimal Microbial Metabolite
Production.” Journal of Optimization Theory and Applications, Springer
Science and Business Media LLC, 2022, doi:10.1007/s10957-022-02023-0.
short: J.-B. Caillau, W. Djema, J.-L. Gouzé, S. Maslovskaya, J.-B. Pomet, Journal
of Optimization Theory and Applications (2022).
date_created: 2022-04-08T17:23:13Z
date_updated: 2022-04-08T18:23:02Z
department:
- _id: '636'
doi: 10.1007/s10957-022-02023-0
keyword:
- Applied Mathematics
- Management Science and Operations Research
- Control and Optimization
language:
- iso: eng
publication: Journal of Optimization Theory and Applications
publication_identifier:
issn:
- 0022-3239
- 1573-2878
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Turnpike Property in Optimal Microbial Metabolite Production
type: journal_article
user_id: '87909'
year: '2022'
...
---
_id: '34414'
abstract:
- lang: eng
text: Given a steadily increasing demand on multi-material lightweight designs,
fast and cost-efficient production technologies, such as the mechanical joining
process clinching, are becoming more and more relevant for series production.
Since the application of such joining techniques often base on the ability to
reach similar or even better joint loading capacities compared to established
joining processes (e.g., spot welding), few contributions investigated the systematic
improvement of clinch joint characteristics. In this regard, the use of data-driven
methods in combination with optimization algorithms showed already high potentials
for the analysis of individual joints and the definition of optimal tool configurations.
However, the often missing consideration of uncertainties, such as varying material
properties, and the related calculation of their impact on clinch joint properties
can lead to poor estimation results and thus to a decreased reliability of the
entire joint connection. This can cause major challenges, especially for the design
and dimensioning of safety-relevant components, such as in car bodies. Motivated
by this, the presented contribution introduces a novel method for the robust estimation
of clinch joint characteristics including uncertainties of varying and versatile
process chains in mechanical joining. Therefore, the utilization of Gaussian process
regression models is demonstrated and evaluated regarding the ability to achieve
sufficient prediction qualities.
author:
- first_name: Christoph
full_name: Zirngibl, Christoph
last_name: Zirngibl
- first_name: Benjamin
full_name: Schleich, Benjamin
last_name: Schleich
- first_name: Sandro
full_name: Wartzack, Sandro
last_name: Wartzack
citation:
ama: Zirngibl C, Schleich B, Wartzack S. Robust estimation of clinch joint characteristics
based on data-driven methods. The International Journal of Advanced Manufacturing
Technology. Published online 2022. doi:10.1007/s00170-022-10441-7
apa: Zirngibl, C., Schleich, B., & Wartzack, S. (2022). Robust estimation of
clinch joint characteristics based on data-driven methods. The International
Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-022-10441-7
bibtex: '@article{Zirngibl_Schleich_Wartzack_2022, title={Robust estimation of clinch
joint characteristics based on data-driven methods}, DOI={10.1007/s00170-022-10441-7},
journal={The International Journal of Advanced Manufacturing Technology}, publisher={Springer
Science and Business Media LLC}, author={Zirngibl, Christoph and Schleich, Benjamin
and Wartzack, Sandro}, year={2022} }'
chicago: Zirngibl, Christoph, Benjamin Schleich, and Sandro Wartzack. “Robust Estimation
of Clinch Joint Characteristics Based on Data-Driven Methods.” The International
Journal of Advanced Manufacturing Technology, 2022. https://doi.org/10.1007/s00170-022-10441-7.
ieee: 'C. Zirngibl, B. Schleich, and S. Wartzack, “Robust estimation of clinch joint
characteristics based on data-driven methods,” The International Journal of
Advanced Manufacturing Technology, 2022, doi: 10.1007/s00170-022-10441-7.'
mla: Zirngibl, Christoph, et al. “Robust Estimation of Clinch Joint Characteristics
Based on Data-Driven Methods.” The International Journal of Advanced Manufacturing
Technology, Springer Science and Business Media LLC, 2022, doi:10.1007/s00170-022-10441-7.
short: C. Zirngibl, B. Schleich, S. Wartzack, The International Journal of Advanced
Manufacturing Technology (2022).
date_created: 2022-12-14T12:24:29Z
date_updated: 2023-01-02T11:14:26Z
department:
- _id: '630'
doi: 10.1007/s00170-022-10441-7
keyword:
- Industrial and Manufacturing Engineering
- Computer Science Applications
- Mechanical Engineering
- Software
- Control and Systems Engineering
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://link.springer.com/article/10.1007/s00170-022-10441-7
oa: '1'
project:
- _id: '130'
grant_number: '418701707'
name: 'TRR 285: TRR 285'
- _id: '132'
name: 'TRR 285 - B: TRR 285 - Project Area B'
- _id: '144'
name: 'TRR 285 – B05: TRR 285 - Subproject B05'
publication: The International Journal of Advanced Manufacturing Technology
publication_identifier:
issn:
- 0268-3768
- 1433-3015
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Robust estimation of clinch joint characteristics based on data-driven methods
type: journal_article
user_id: '14931'
year: '2022'
...
---
_id: '34046'
author:
- first_name: Christin
full_name: Hoffmann, Christin
last_name: Hoffmann
- first_name: Kirsten
full_name: Thommes, Kirsten
id: '72497'
last_name: Thommes
citation:
ama: Hoffmann C, Thommes K. Seizing the Opportunity for Automation—How Traffic Density
Determines Truck Drivers’ Use of Cruise Control. IEEE Transactions on Human-Machine
Systems. Published online 2022:1-11. doi:10.1109/thms.2022.3212335
apa: Hoffmann, C., & Thommes, K. (2022). Seizing the Opportunity for Automation—How
Traffic Density Determines Truck Drivers’ Use of Cruise Control. IEEE Transactions
on Human-Machine Systems, 1–11. https://doi.org/10.1109/thms.2022.3212335
bibtex: '@article{Hoffmann_Thommes_2022, title={Seizing the Opportunity for Automation—How
Traffic Density Determines Truck Drivers’ Use of Cruise Control}, DOI={10.1109/thms.2022.3212335},
journal={IEEE Transactions on Human-Machine Systems}, publisher={Institute of
Electrical and Electronics Engineers (IEEE)}, author={Hoffmann, Christin and Thommes,
Kirsten}, year={2022}, pages={1–11} }'
chicago: Hoffmann, Christin, and Kirsten Thommes. “Seizing the Opportunity for Automation—How
Traffic Density Determines Truck Drivers’ Use of Cruise Control.” IEEE Transactions
on Human-Machine Systems, 2022, 1–11. https://doi.org/10.1109/thms.2022.3212335.
ieee: 'C. Hoffmann and K. Thommes, “Seizing the Opportunity for Automation—How Traffic
Density Determines Truck Drivers’ Use of Cruise Control,” IEEE Transactions
on Human-Machine Systems, pp. 1–11, 2022, doi: 10.1109/thms.2022.3212335.'
mla: Hoffmann, Christin, and Kirsten Thommes. “Seizing the Opportunity for Automation—How
Traffic Density Determines Truck Drivers’ Use of Cruise Control.” IEEE Transactions
on Human-Machine Systems, Institute of Electrical and Electronics Engineers
(IEEE), 2022, pp. 1–11, doi:10.1109/thms.2022.3212335.
short: C. Hoffmann, K. Thommes, IEEE Transactions on Human-Machine Systems (2022)
1–11.
date_created: 2022-11-10T07:49:01Z
date_updated: 2023-01-09T14:05:54Z
department:
- _id: '178'
- _id: '184'
doi: 10.1109/thms.2022.3212335
keyword:
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Human-Computer Interaction
- Signal Processing
- Control and Systems Engineering
- Human Factors and Ergonomics
language:
- iso: eng
page: 1-11
publication: IEEE Transactions on Human-Machine Systems
publication_identifier:
issn:
- 2168-2291
- 2168-2305
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
quality_controlled: '1'
status: public
title: Seizing the Opportunity for Automation—How Traffic Density Determines Truck
Drivers' Use of Cruise Control
type: journal_article
user_id: '72497'
year: '2022'
...
---
_id: '35586'
author:
- first_name: Marius
full_name: Protte, Marius
last_name: Protte
- first_name: Rene
full_name: Fahr, Rene
last_name: Fahr
- first_name: Daniel E.
full_name: Quevedo, Daniel E.
last_name: Quevedo
citation:
ama: 'Protte M, Fahr R, Quevedo DE. Behavioral Economics for Human-in-the-Loop Control
Systems Design: Overconfidence and the Hot Hand Fallacy. IEEE Control Systems.
2022;40(6):57-76. doi:10.1109/mcs.2020.3019723'
apa: 'Protte, M., Fahr, R., & Quevedo, D. E. (2022). Behavioral Economics for
Human-in-the-Loop Control Systems Design: Overconfidence and the Hot Hand Fallacy.
IEEE Control Systems, 40(6), 57–76. https://doi.org/10.1109/mcs.2020.3019723'
bibtex: '@article{Protte_Fahr_Quevedo_2022, title={Behavioral Economics for Human-in-the-Loop
Control Systems Design: Overconfidence and the Hot Hand Fallacy}, volume={40},
DOI={10.1109/mcs.2020.3019723},
number={6}, journal={IEEE Control Systems}, publisher={Institute of Electrical
and Electronics Engineers (IEEE)}, author={Protte, Marius and Fahr, Rene and Quevedo,
Daniel E.}, year={2022}, pages={57–76} }'
chicago: 'Protte, Marius, Rene Fahr, and Daniel E. Quevedo. “Behavioral Economics
for Human-in-the-Loop Control Systems Design: Overconfidence and the Hot Hand
Fallacy.” IEEE Control Systems 40, no. 6 (2022): 57–76. https://doi.org/10.1109/mcs.2020.3019723.'
ieee: 'M. Protte, R. Fahr, and D. E. Quevedo, “Behavioral Economics for Human-in-the-Loop
Control Systems Design: Overconfidence and the Hot Hand Fallacy,” IEEE Control
Systems, vol. 40, no. 6, pp. 57–76, 2022, doi: 10.1109/mcs.2020.3019723.'
mla: 'Protte, Marius, et al. “Behavioral Economics for Human-in-the-Loop Control
Systems Design: Overconfidence and the Hot Hand Fallacy.” IEEE Control Systems,
vol. 40, no. 6, Institute of Electrical and Electronics Engineers (IEEE), 2022,
pp. 57–76, doi:10.1109/mcs.2020.3019723.'
short: M. Protte, R. Fahr, D.E. Quevedo, IEEE Control Systems 40 (2022) 57–76.
date_created: 2023-01-09T16:46:46Z
date_updated: 2023-01-09T16:47:00Z
department:
- _id: '57'
doi: 10.1109/mcs.2020.3019723
intvolume: ' 40'
issue: '6'
keyword:
- Electrical and Electronic Engineering
- Modeling and Simulation
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Modeling and Simulation
- Control and Systems Engineering
language:
- iso: eng
page: 57-76
publication: IEEE Control Systems
publication_identifier:
issn:
- 1066-033X
- 1941-000X
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: 'Behavioral Economics for Human-in-the-Loop Control Systems Design: Overconfidence
and the Hot Hand Fallacy'
type: journal_article
user_id: '158'
volume: 40
year: '2022'
...
---
_id: '35206'
author:
- first_name: Bernard
full_name: Bonnard, Bernard
last_name: Bonnard
- first_name: Jérémy
full_name: Rouot, Jérémy
last_name: Rouot
- first_name: Boris Edgar
full_name: Wembe Moafo, Boris Edgar
id: '95394'
last_name: Wembe Moafo
citation:
ama: Bonnard B, Rouot J, Wembe Moafo BE. Accessibility properties of abnormal geodesics
in optimal control illustrated by two case studies. Mathematical Control and
Related Fields. 2022;0(0):0-0. doi:10.3934/mcrf.2022052
apa: Bonnard, B., Rouot, J., & Wembe Moafo, B. E. (2022). Accessibility properties
of abnormal geodesics in optimal control illustrated by two case studies. Mathematical
Control and Related Fields, 0(0), 0–0. https://doi.org/10.3934/mcrf.2022052
bibtex: '@article{Bonnard_Rouot_Wembe Moafo_2022, title={Accessibility properties
of abnormal geodesics in optimal control illustrated by two case studies}, volume={0},
DOI={10.3934/mcrf.2022052},
number={0}, journal={Mathematical Control and Related Fields}, publisher={American
Institute of Mathematical Sciences (AIMS)}, author={Bonnard, Bernard and Rouot,
Jérémy and Wembe Moafo, Boris Edgar}, year={2022}, pages={0–0} }'
chicago: 'Bonnard, Bernard, Jérémy Rouot, and Boris Edgar Wembe Moafo. “Accessibility
Properties of Abnormal Geodesics in Optimal Control Illustrated by Two Case Studies.”
Mathematical Control and Related Fields 0, no. 0 (2022): 0–0. https://doi.org/10.3934/mcrf.2022052.'
ieee: 'B. Bonnard, J. Rouot, and B. E. Wembe Moafo, “Accessibility properties of
abnormal geodesics in optimal control illustrated by two case studies,” Mathematical
Control and Related Fields, vol. 0, no. 0, pp. 0–0, 2022, doi: 10.3934/mcrf.2022052.'
mla: Bonnard, Bernard, et al. “Accessibility Properties of Abnormal Geodesics in
Optimal Control Illustrated by Two Case Studies.” Mathematical Control and
Related Fields, vol. 0, no. 0, American Institute of Mathematical Sciences
(AIMS), 2022, pp. 0–0, doi:10.3934/mcrf.2022052.
short: B. Bonnard, J. Rouot, B.E. Wembe Moafo, Mathematical Control and Related
Fields 0 (2022) 0–0.
date_created: 2023-01-04T10:26:56Z
date_updated: 2023-01-16T12:07:51Z
doi: 10.3934/mcrf.2022052
issue: '0'
keyword:
- Applied Mathematics
- Control and Optimization
- General Medicine
language:
- iso: eng
page: 0-0
publication: Mathematical Control and Related Fields
publication_identifier:
issn:
- 2156-8472
- 2156-8499
publication_status: published
publisher: American Institute of Mathematical Sciences (AIMS)
status: public
title: Accessibility properties of abnormal geodesics in optimal control illustrated
by two case studies
type: journal_article
user_id: '95394'
volume: '0'
year: '2022'
...
---
_id: '33869'
article_number: '105140'
author:
- first_name: B.
full_name: Bonnard, B.
last_name: Bonnard
- first_name: O.
full_name: Cots, O.
last_name: Cots
- first_name: J.
full_name: Gergaud, J.
last_name: Gergaud
- first_name: Boris Edgar
full_name: Wembe Moafo, Boris Edgar
id: '95394'
last_name: Wembe Moafo
citation:
ama: Bonnard B, Cots O, Gergaud J, Wembe Moafo BE. Abnormal geodesics in 2D-Zermelo
navigation problems in the case of revolution and the fan shape of the small time
balls. Systems & Control Letters. 2022;161. doi:10.1016/j.sysconle.2022.105140
apa: Bonnard, B., Cots, O., Gergaud, J., & Wembe Moafo, B. E. (2022). Abnormal
geodesics in 2D-Zermelo navigation problems in the case of revolution and the
fan shape of the small time balls. Systems & Control Letters, 161,
Article 105140. https://doi.org/10.1016/j.sysconle.2022.105140
bibtex: '@article{Bonnard_Cots_Gergaud_Wembe Moafo_2022, title={Abnormal geodesics
in 2D-Zermelo navigation problems in the case of revolution and the fan shape
of the small time balls}, volume={161}, DOI={10.1016/j.sysconle.2022.105140},
number={105140}, journal={Systems & Control Letters}, publisher={Elsevier
BV}, author={Bonnard, B. and Cots, O. and Gergaud, J. and Wembe Moafo, Boris Edgar},
year={2022} }'
chicago: Bonnard, B., O. Cots, J. Gergaud, and Boris Edgar Wembe Moafo. “Abnormal
Geodesics in 2D-Zermelo Navigation Problems in the Case of Revolution and the
Fan Shape of the Small Time Balls.” Systems & Control Letters 161
(2022). https://doi.org/10.1016/j.sysconle.2022.105140.
ieee: 'B. Bonnard, O. Cots, J. Gergaud, and B. E. Wembe Moafo, “Abnormal geodesics
in 2D-Zermelo navigation problems in the case of revolution and the fan shape
of the small time balls,” Systems & Control Letters, vol. 161,
Art. no. 105140, 2022, doi: 10.1016/j.sysconle.2022.105140.'
mla: Bonnard, B., et al. “Abnormal Geodesics in 2D-Zermelo Navigation Problems in
the Case of Revolution and the Fan Shape of the Small Time Balls.” Systems
& Control Letters, vol. 161, 105140, Elsevier BV, 2022, doi:10.1016/j.sysconle.2022.105140.
short: B. Bonnard, O. Cots, J. Gergaud, B.E. Wembe Moafo, Systems & Control
Letters 161 (2022).
date_created: 2022-10-24T12:54:24Z
date_updated: 2023-01-16T12:08:58Z
doi: 10.1016/j.sysconle.2022.105140
intvolume: ' 161'
keyword:
- Electrical and Electronic Engineering
- Mechanical Engineering
- General Computer Science
- Control and Systems Engineering
language:
- iso: eng
publication: Systems & Control Letters
publication_identifier:
issn:
- 0167-6911
publication_status: published
publisher: Elsevier BV
status: public
title: Abnormal geodesics in 2D-Zermelo navigation problems in the case of revolution
and the fan shape of the small time balls
type: journal_article
user_id: '95394'
volume: 161
year: '2022'
...
---
_id: '33982'
author:
- first_name: Steven
full_name: Koppert, Steven
last_name: Koppert
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
- first_name: Stefan
full_name: Möhringer, Stefan
last_name: Möhringer
citation:
ama: Koppert S, Henke C, Trächtler A, Möhringer S. Tool Wear Monitoring of a Tree
Log Bandsaw using a Deep Convolutional Neural Network on challenging data. IFAC-PapersOnLine.
2022;55(2):554-560. doi:10.1016/j.ifacol.2022.04.252
apa: Koppert, S., Henke, C., Trächtler, A., & Möhringer, S. (2022). Tool Wear
Monitoring of a Tree Log Bandsaw using a Deep Convolutional Neural Network on
challenging data. IFAC-PapersOnLine, 55(2), 554–560. https://doi.org/10.1016/j.ifacol.2022.04.252
bibtex: '@article{Koppert_Henke_Trächtler_Möhringer_2022, title={Tool Wear Monitoring
of a Tree Log Bandsaw using a Deep Convolutional Neural Network on challenging
data}, volume={55}, DOI={10.1016/j.ifacol.2022.04.252},
number={2}, journal={IFAC-PapersOnLine}, publisher={Elsevier BV}, author={Koppert,
Steven and Henke, Christian and Trächtler, Ansgar and Möhringer, Stefan}, year={2022},
pages={554–560} }'
chicago: 'Koppert, Steven, Christian Henke, Ansgar Trächtler, and Stefan Möhringer.
“Tool Wear Monitoring of a Tree Log Bandsaw Using a Deep Convolutional Neural
Network on Challenging Data.” IFAC-PapersOnLine 55, no. 2 (2022): 554–60.
https://doi.org/10.1016/j.ifacol.2022.04.252.'
ieee: 'S. Koppert, C. Henke, A. Trächtler, and S. Möhringer, “Tool Wear Monitoring
of a Tree Log Bandsaw using a Deep Convolutional Neural Network on challenging
data,” IFAC-PapersOnLine, vol. 55, no. 2, pp. 554–560, 2022, doi: 10.1016/j.ifacol.2022.04.252.'
mla: Koppert, Steven, et al. “Tool Wear Monitoring of a Tree Log Bandsaw Using a
Deep Convolutional Neural Network on Challenging Data.” IFAC-PapersOnLine,
vol. 55, no. 2, Elsevier BV, 2022, pp. 554–60, doi:10.1016/j.ifacol.2022.04.252.
short: S. Koppert, C. Henke, A. Trächtler, S. Möhringer, IFAC-PapersOnLine 55 (2022)
554–560.
date_created: 2022-11-02T17:19:30Z
date_updated: 2023-04-27T12:04:32Z
department:
- _id: '153'
- _id: '241'
doi: 10.1016/j.ifacol.2022.04.252
intvolume: ' 55'
issue: '2'
keyword:
- Control and Systems Engineering
language:
- iso: eng
page: 554-560
publication: IFAC-PapersOnLine
publication_identifier:
issn:
- 2405-8963
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: Tool Wear Monitoring of a Tree Log Bandsaw using a Deep Convolutional Neural
Network on challenging data
type: journal_article
user_id: '552'
volume: 55
year: '2022'
...
---
_id: '47961'
abstract:
- lang: eng
text: Due to failures or even the absence of an electricity grid, microgrid
systems are becoming popular solutions for electrifying African rural communities.
However, they are heavily stressed and complex to control due to their intermittency
and demand growth. Demand side management (DSM) serves as an option to increase
the level of flexibility on the demand side by scheduling users’ consumption patterns
profiles in response to supply. This paper proposes a demand-side management strategy
based on load shifting and peak clipping. The proposed approach was modelled in
a MATLAB/Simulink R2021a environment and was optimized using the artificial neural
network (ANN) algorithm. Simulations were carried out to test the model’s efficacy
in a stand-alone PV-battery microgrid in East Africa. The proposed algorithm reduces
the peak demand, smoothing the load profile to the desired level, and improves
the system’s peak to average ratio (PAR). The presence of deferrable loads has
been considered to bring more flexible demand-side management. Results promise
decreases in peak demand and peak to average ratio of about 31.2% and 7.5% through
peak clipping. In addition, load shifting promises more flexibility to customers.
article_number: '5215'
author:
- first_name: Godiana Hagile
full_name: Philipo, Godiana Hagile
id: '88505'
last_name: Philipo
- first_name: Josephine Nakato
full_name: Kakande, Josephine Nakato
id: '88649'
last_name: Kakande
- first_name: Stefan
full_name: Krauter, Stefan
id: '28836'
last_name: Krauter
orcid: 0000-0002-3594-260X
citation:
ama: Philipo GH, Kakande JN, Krauter S. Neural Network-Based Demand-Side Management
in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping.
Energies. 2022;15(14). doi:10.3390/en15145215
apa: Philipo, G. H., Kakande, J. N., & Krauter, S. (2022). Neural Network-Based
Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting
and Peak-Clipping. Energies, 15(14), Article 5215. https://doi.org/10.3390/en15145215
bibtex: '@article{Philipo_Kakande_Krauter_2022, title={Neural Network-Based Demand-Side
Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and
Peak-Clipping}, volume={15}, DOI={10.3390/en15145215},
number={145215}, journal={Energies}, publisher={MDPI AG}, author={Philipo, Godiana
Hagile and Kakande, Josephine Nakato and Krauter, Stefan}, year={2022} }'
chicago: Philipo, Godiana Hagile, Josephine Nakato Kakande, and Stefan Krauter.
“Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery
Microgrid Using Load-Shifting and Peak-Clipping.” Energies 15, no. 14 (2022).
https://doi.org/10.3390/en15145215.
ieee: 'G. H. Philipo, J. N. Kakande, and S. Krauter, “Neural Network-Based Demand-Side
Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and
Peak-Clipping,” Energies, vol. 15, no. 14, Art. no. 5215, 2022, doi: 10.3390/en15145215.'
mla: Philipo, Godiana Hagile, et al. “Neural Network-Based Demand-Side Management
in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping.”
Energies, vol. 15, no. 14, 5215, MDPI AG, 2022, doi:10.3390/en15145215.
short: G.H. Philipo, J.N. Kakande, S. Krauter, Energies 15 (2022).
date_created: 2023-10-11T08:13:13Z
date_updated: 2024-10-17T08:46:23Z
department:
- _id: '53'
doi: 10.3390/en15145215
intvolume: ' 15'
issue: '14'
keyword:
- Energy (miscellaneous)
- Energy Engineering and Power Technology
- Renewable Energy
- Sustainability and the Environment
- Electrical and Electronic Engineering
- Control and Optimization
- Engineering (miscellaneous)
- Building and Construction
language:
- iso: eng
publication: Energies
publication_identifier:
issn:
- 1996-1073
publication_status: published
publisher: MDPI AG
status: public
title: Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery
Microgrid Using Load-Shifting and Peak-Clipping
type: journal_article
user_id: '16148'
volume: 15
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: '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: '25278'
abstract:
- lang: eng
text: Using Service Function Chaining (SFC) in wireless networks became popular
in many domains like networking and multimedia. It relies on allocating network
resources to incoming SFCs requests, via a Virtual Network Embedding (VNE) algorithm,
so that it optimizes the performance of the SFC. When the load of incoming requests
-- competing for the limited network resources -- increases, it becomes challenging
to decide which requests should be admitted and which one should be rejected.
In this work, we propose a deep Reinforcement learning (RL) solution that can
learn the admission policy for different dependencies, such as the service lifetime
and the priority of incoming requests. We compare the deep RL solution to a first-come-first-serve
baseline that admits a request whenever there are available resources. We show
that deep RL outperforms the baseline and provides higher acceptance rate with
low rejections even when there are enough resources.
author:
- first_name: Haitham
full_name: Afifi, Haitham
id: '65718'
last_name: Afifi
- first_name: Fabian Jakob
full_name: Sauer, Fabian Jakob
last_name: Sauer
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Afifi H, Sauer FJ, Karl H. Reinforcement Learning for Admission Control in
Wireless Virtual Network Embedding. In: 2021 IEEE International Conference
on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21). ; 2021.'
apa: Afifi, H., Sauer, F. J., & Karl, H. (2021). Reinforcement Learning for
Admission Control in Wireless Virtual Network Embedding. 2021 IEEE International
Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21).
bibtex: '@inproceedings{Afifi_Sauer_Karl_2021, place={Hyderabad, India}, title={Reinforcement
Learning for Admission Control in Wireless Virtual Network Embedding}, booktitle={2021
IEEE International Conference on Advanced Networks and Telecommunications Systems
(ANTS) (ANTS’21)}, author={Afifi, Haitham and Sauer, Fabian Jakob and Karl, Holger},
year={2021} }'
chicago: Afifi, Haitham, Fabian Jakob Sauer, and Holger Karl. “Reinforcement Learning
for Admission Control in Wireless Virtual Network Embedding.” In 2021 IEEE
International Conference on Advanced Networks and Telecommunications Systems (ANTS)
(ANTS’21). Hyderabad, India, 2021.
ieee: H. Afifi, F. J. Sauer, and H. Karl, “Reinforcement Learning for Admission
Control in Wireless Virtual Network Embedding,” 2021.
mla: Afifi, Haitham, et al. “Reinforcement Learning for Admission Control in Wireless
Virtual Network Embedding.” 2021 IEEE International Conference on Advanced
Networks and Telecommunications Systems (ANTS) (ANTS’21), 2021.
short: 'H. Afifi, F.J. Sauer, H. Karl, in: 2021 IEEE International Conference on
Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21), Hyderabad,
India, 2021.'
date_created: 2021-10-04T10:42:20Z
date_updated: 2022-01-06T06:56:58Z
ddc:
- '000'
file:
- access_level: closed
content_type: application/pdf
creator: hafifi
date_created: 2021-10-04T10:43:19Z
date_updated: 2021-10-04T10:43:19Z
file_id: '25279'
file_name: Preprint___Reinforcement_Learning_for_Dynamic_Resource_Allocation_in_Wireless_Networks.pdf
file_size: 534737
relation: main_file
success: 1
file_date_updated: 2021-10-04T10:43:19Z
has_accepted_license: '1'
keyword:
- reinforcement learning
- admission control
- wireless sensor networks
language:
- iso: eng
place: Hyderabad, India
project:
- _id: '27'
name: Akustische Sensornetzwerke - Teilprojekt "Verteilte akustische Signalverarbeitung
über funkbasierte Sensornetzwerke
publication: 2021 IEEE International Conference on Advanced Networks and Telecommunications
Systems (ANTS) (ANTS'21)
status: public
title: Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding
type: conference
user_id: '65718'
year: '2021'
...
---
_id: '29543'
article_number: '109804'
author:
- first_name: Walid
full_name: Djema, Walid
last_name: Djema
- first_name: Laetitia
full_name: Giraldi, Laetitia
last_name: Giraldi
- first_name: Sofya
full_name: Maslovskaya, Sofya
id: '87909'
last_name: Maslovskaya
- first_name: Olivier
full_name: Bernard, Olivier
last_name: Bernard
citation:
ama: Djema W, Giraldi L, Maslovskaya S, Bernard O. Turnpike features in optimal
selection of species represented by quota models. Automatica. 2021;132.
doi:10.1016/j.automatica.2021.109804
apa: Djema, W., Giraldi, L., Maslovskaya, S., & Bernard, O. (2021). Turnpike
features in optimal selection of species represented by quota models. Automatica,
132, Article 109804. https://doi.org/10.1016/j.automatica.2021.109804
bibtex: '@article{Djema_Giraldi_Maslovskaya_Bernard_2021, title={Turnpike features
in optimal selection of species represented by quota models}, volume={132}, DOI={10.1016/j.automatica.2021.109804},
number={109804}, journal={Automatica}, publisher={Elsevier BV}, author={Djema,
Walid and Giraldi, Laetitia and Maslovskaya, Sofya and Bernard, Olivier}, year={2021}
}'
chicago: Djema, Walid, Laetitia Giraldi, Sofya Maslovskaya, and Olivier Bernard.
“Turnpike Features in Optimal Selection of Species Represented by Quota Models.”
Automatica 132 (2021). https://doi.org/10.1016/j.automatica.2021.109804.
ieee: 'W. Djema, L. Giraldi, S. Maslovskaya, and O. Bernard, “Turnpike features
in optimal selection of species represented by quota models,” Automatica,
vol. 132, Art. no. 109804, 2021, doi: 10.1016/j.automatica.2021.109804.'
mla: Djema, Walid, et al. “Turnpike Features in Optimal Selection of Species Represented
by Quota Models.” Automatica, vol. 132, 109804, Elsevier BV, 2021, doi:10.1016/j.automatica.2021.109804.
short: W. Djema, L. Giraldi, S. Maslovskaya, O. Bernard, Automatica 132 (2021).
date_created: 2022-01-26T13:13:06Z
date_updated: 2022-01-26T13:15:33Z
department:
- _id: '636'
doi: 10.1016/j.automatica.2021.109804
intvolume: ' 132'
keyword:
- Electrical and Electronic Engineering
- Control and Systems Engineering
language:
- iso: eng
publication: Automatica
publication_identifier:
issn:
- 0005-1098
publication_status: published
publisher: Elsevier BV
status: public
title: Turnpike features in optimal selection of species represented by quota models
type: journal_article
user_id: '87909'
volume: 132
year: '2021'
...
---
_id: '29938'
abstract:
- lang: eng
text: Modular solid-state transformers (SSTs) are a promising technology in converting
power from a 10kV three-phase medium voltage to a lower DC-voltage in the range
of 100…400V to provide pure DC power to applications such as electrolyzers for
hydrogen generation, data centers with a DC power distribution and DC micro grids.
Modular SSTs which can be interpreted as modular multilevel converters with an
isolated DC-DC output stage per module, are designed with redundant modules to
increase reliability. Usually, each of the three arms operates independently,
and therefore, only a fixed number of faulty modules can be compensated in each
arm, even if all modules are operational in the remaining two arms. With the proposed
zero-sequence voltage injection, up to 100% more faulty modules can be compensated
in an arm by employing the same hardware. In addition, module power imbalances
are nearly eliminated by utilizing a fundamental frequency zero-sequence voltage.
A dominant 3rd harmonic zero-sequence voltage injection in combination with the
5th, 7th and several higher order harmonics with adaptive (small) amplitudes minimize
the required arm voltages at steady-state. For nominal operation or symmetrical
faults, the proposed technique is equivalent to the well known Min-Max voltage
injection, which already reduces the peak arm voltage by 13.4% compared to a constant
star point potential. A statistical analysis proves, that the expected number
of tolerable faulty modules of the 1MW SST increases by 12% without the need for
additional hardware.
author:
- first_name: Roland
full_name: Unruh, Roland
id: '34289'
last_name: Unruh
- first_name: Jarren
full_name: Lange, Jarren
id: '78801'
last_name: Lange
- first_name: Frank
full_name: Schafmeister, Frank
id: '71291'
last_name: Schafmeister
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: 'Unruh R, Lange J, Schafmeister F, Böcker J. Adaptive Zero-Sequence Voltage
Injection for Modular Solid-State Transformer to Compensate for Asymmetrical Fault
Conditions. In: 23rd European Conference on Power Electronics and Applications
(EPE’21 ECCE Europe). IEEE; 2021. doi:https://doi.org/10.23919/EPE21ECCEEurope50061.2021.9570542'
apa: Unruh, R., Lange, J., Schafmeister, F., & Böcker, J. (2021). Adaptive Zero-Sequence
Voltage Injection for Modular Solid-State Transformer to Compensate for Asymmetrical
Fault Conditions. 23rd European Conference on Power Electronics and Applications
(EPE’21 ECCE Europe). 23rd European Conference on Power Electronics and Applications
(EPE’21 ECCE Europe), Ghent, Belgium. https://doi.org/10.23919/EPE21ECCEEurope50061.2021.9570542
bibtex: '@inproceedings{Unruh_Lange_Schafmeister_Böcker_2021, title={Adaptive Zero-Sequence
Voltage Injection for Modular Solid-State Transformer to Compensate for Asymmetrical
Fault Conditions}, DOI={https://doi.org/10.23919/EPE21ECCEEurope50061.2021.9570542},
booktitle={23rd European Conference on Power Electronics and Applications (EPE’21
ECCE Europe)}, publisher={IEEE}, author={Unruh, Roland and Lange, Jarren and Schafmeister,
Frank and Böcker, Joachim}, year={2021} }'
chicago: Unruh, Roland, Jarren Lange, Frank Schafmeister, and Joachim Böcker. “Adaptive
Zero-Sequence Voltage Injection for Modular Solid-State Transformer to Compensate
for Asymmetrical Fault Conditions.” In 23rd European Conference on Power Electronics
and Applications (EPE’21 ECCE Europe). IEEE, 2021. https://doi.org/10.23919/EPE21ECCEEurope50061.2021.9570542.
ieee: 'R. Unruh, J. Lange, F. Schafmeister, and J. Böcker, “Adaptive Zero-Sequence
Voltage Injection for Modular Solid-State Transformer to Compensate for Asymmetrical
Fault Conditions,” presented at the 23rd European Conference on Power Electronics
and Applications (EPE’21 ECCE Europe), Ghent, Belgium, 2021, doi: https://doi.org/10.23919/EPE21ECCEEurope50061.2021.9570542.'
mla: Unruh, Roland, et al. “Adaptive Zero-Sequence Voltage Injection for Modular
Solid-State Transformer to Compensate for Asymmetrical Fault Conditions.” 23rd
European Conference on Power Electronics and Applications (EPE’21 ECCE Europe),
IEEE, 2021, doi:https://doi.org/10.23919/EPE21ECCEEurope50061.2021.9570542.
short: 'R. Unruh, J. Lange, F. Schafmeister, J. Böcker, in: 23rd European Conference
on Power Electronics and Applications (EPE’21 ECCE Europe), IEEE, 2021.'
conference:
end_date: 2021-09-10
location: Ghent, Belgium
name: 23rd European Conference on Power Electronics and Applications (EPE'21 ECCE
Europe)
start_date: 2021-09-06
date_created: 2022-02-21T16:31:34Z
date_updated: 2022-09-09T12:01:42Z
department:
- _id: '52'
doi: https://doi.org/10.23919/EPE21ECCEEurope50061.2021.9570542
keyword:
- Solid-State Transformer
- Zero sequence voltage
- Fault handling strategy
- Power balance control technique
- Three-phase system
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/abstract/document/9570542
publication: 23rd European Conference on Power Electronics and Applications (EPE'21
ECCE Europe)
publication_identifier:
isbn:
- 978-9-0758-1537-5
publication_status: published
publisher: IEEE
status: public
title: Adaptive Zero-Sequence Voltage Injection for Modular Solid-State Transformer
to Compensate for Asymmetrical Fault Conditions
type: conference
user_id: '34289'
year: '2021'
...
---
_id: '33658'
abstract:
- lang: eng
text: We demonstrate how to fully ascribe Raman peaks simulated using ab
initio molecular dynamics to specific vibrations in the structure at finite temperatures
by means of Wannier functions. Here, we adopt our newly introduced method for
the simulation of the Raman spectra in which the total polarizability of the system
is expressed as a sum over Wannier polarizabilities. The assignment is then based
on the calculation of partial Raman activities arising from self- and/or cross-correlations
between different types of Wannier functions in the system. Different types of
Wannier functions can be distinguished based on their spatial spread. To demonstrate
the predictive power of this approach, we applied it to the case of a cyclohexane
molecule in the gas phase and were able to fully assign the simulated Raman peaks.
article_number: '1212'
author:
- first_name: Pouya
full_name: Partovi-Azar, Pouya
last_name: Partovi-Azar
- first_name: Thomas
full_name: Kühne, Thomas
id: '49079'
last_name: Kühne
citation:
ama: 'Partovi-Azar P, Kühne T. Full Assignment of Ab-Initio Raman Spectra at Finite
Temperatures Using Wannier Polarizabilities: Application to Cyclohexane Molecule
in Gas Phase. Micromachines. 2021;12(10). doi:10.3390/mi12101212'
apa: 'Partovi-Azar, P., & Kühne, T. (2021). Full Assignment of Ab-Initio Raman
Spectra at Finite Temperatures Using Wannier Polarizabilities: Application to
Cyclohexane Molecule in Gas Phase. Micromachines, 12(10), Article
1212. https://doi.org/10.3390/mi12101212'
bibtex: '@article{Partovi-Azar_Kühne_2021, title={Full Assignment of Ab-Initio Raman
Spectra at Finite Temperatures Using Wannier Polarizabilities: Application to
Cyclohexane Molecule in Gas Phase}, volume={12}, DOI={10.3390/mi12101212},
number={101212}, journal={Micromachines}, publisher={MDPI AG}, author={Partovi-Azar,
Pouya and Kühne, Thomas}, year={2021} }'
chicago: 'Partovi-Azar, Pouya, and Thomas Kühne. “Full Assignment of Ab-Initio Raman
Spectra at Finite Temperatures Using Wannier Polarizabilities: Application to
Cyclohexane Molecule in Gas Phase.” Micromachines 12, no. 10 (2021). https://doi.org/10.3390/mi12101212.'
ieee: 'P. Partovi-Azar and T. Kühne, “Full Assignment of Ab-Initio Raman Spectra
at Finite Temperatures Using Wannier Polarizabilities: Application to Cyclohexane
Molecule in Gas Phase,” Micromachines, vol. 12, no. 10, Art. no. 1212,
2021, doi: 10.3390/mi12101212.'
mla: 'Partovi-Azar, Pouya, and Thomas Kühne. “Full Assignment of Ab-Initio Raman
Spectra at Finite Temperatures Using Wannier Polarizabilities: Application to
Cyclohexane Molecule in Gas Phase.” Micromachines, vol. 12, no. 10, 1212,
MDPI AG, 2021, doi:10.3390/mi12101212.'
short: P. Partovi-Azar, T. Kühne, Micromachines 12 (2021).
date_created: 2022-10-10T08:24:47Z
date_updated: 2022-10-10T08:24:57Z
department:
- _id: '613'
doi: 10.3390/mi12101212
intvolume: ' 12'
issue: '10'
keyword:
- Electrical and Electronic Engineering
- Mechanical Engineering
- Control and Systems Engineering
language:
- iso: eng
publication: Micromachines
publication_identifier:
issn:
- 2072-666X
publication_status: published
publisher: MDPI AG
status: public
title: 'Full Assignment of Ab-Initio Raman Spectra at Finite Temperatures Using Wannier
Polarizabilities: Application to Cyclohexane Molecule in Gas Phase'
type: journal_article
user_id: '71051'
volume: 12
year: '2021'
...
---
_id: '35575'
author:
- first_name: Moritz
full_name: Schulze Darup, Moritz
last_name: Schulze Darup
- first_name: Andreea B.
full_name: Alexandru, Andreea B.
last_name: Alexandru
- first_name: Daniel E.
full_name: Quevedo, Daniel E.
last_name: Quevedo
- first_name: George J.
full_name: Pappas, George J.
last_name: Pappas
citation:
ama: 'Schulze Darup M, Alexandru AB, Quevedo DE, Pappas GJ. Encrypted Control for
Networked Systems: An Illustrative Introduction and Current Challenges. IEEE
Control Systems. 2021;41(3):58-78. doi:10.1109/mcs.2021.3062956'
apa: 'Schulze Darup, M., Alexandru, A. B., Quevedo, D. E., & Pappas, G. J. (2021).
Encrypted Control for Networked Systems: An Illustrative Introduction and Current
Challenges. IEEE Control Systems, 41(3), 58–78. https://doi.org/10.1109/mcs.2021.3062956'
bibtex: '@article{Schulze Darup_Alexandru_Quevedo_Pappas_2021, title={Encrypted
Control for Networked Systems: An Illustrative Introduction and Current Challenges},
volume={41}, DOI={10.1109/mcs.2021.3062956},
number={3}, journal={IEEE Control Systems}, publisher={Institute of Electrical
and Electronics Engineers (IEEE)}, author={Schulze Darup, Moritz and Alexandru,
Andreea B. and Quevedo, Daniel E. and Pappas, George J.}, year={2021}, pages={58–78}
}'
chicago: 'Schulze Darup, Moritz, Andreea B. Alexandru, Daniel E. Quevedo, and George
J. Pappas. “Encrypted Control for Networked Systems: An Illustrative Introduction
and Current Challenges.” IEEE Control Systems 41, no. 3 (2021): 58–78.
https://doi.org/10.1109/mcs.2021.3062956.'
ieee: 'M. Schulze Darup, A. B. Alexandru, D. E. Quevedo, and G. J. Pappas, “Encrypted
Control for Networked Systems: An Illustrative Introduction and Current Challenges,”
IEEE Control Systems, vol. 41, no. 3, pp. 58–78, 2021, doi: 10.1109/mcs.2021.3062956.'
mla: 'Schulze Darup, Moritz, et al. “Encrypted Control for Networked Systems: An
Illustrative Introduction and Current Challenges.” IEEE Control Systems,
vol. 41, no. 3, Institute of Electrical and Electronics Engineers (IEEE), 2021,
pp. 58–78, doi:10.1109/mcs.2021.3062956.'
short: M. Schulze Darup, A.B. Alexandru, D.E. Quevedo, G.J. Pappas, IEEE Control
Systems 41 (2021) 58–78.
date_created: 2023-01-09T16:33:35Z
date_updated: 2023-01-09T16:43:23Z
department:
- _id: '622'
doi: 10.1109/mcs.2021.3062956
extern: '1'
intvolume: ' 41'
issue: '3'
keyword:
- Electrical and Electronic Engineering
- Modeling and Simulation
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Modeling and Simulation
- Control and Systems Engineering
language:
- iso: eng
page: 58-78
publication: IEEE Control Systems
publication_identifier:
issn:
- 1066-033X
- 1941-000X
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: 'Encrypted Control for Networked Systems: An Illustrative Introduction and
Current Challenges'
type: journal_article
user_id: '158'
volume: 41
year: '2021'
...
---
_id: '35576'
author:
- first_name: Moritz
full_name: Schulze Darup, Moritz
last_name: Schulze Darup
- first_name: Manuel
full_name: Klädtke, Manuel
last_name: Klädtke
- first_name: Martin
full_name: Mönnigmann, Martin
last_name: Mönnigmann
citation:
ama: Schulze Darup M, Klädtke M, Mönnigmann M. Exact solution to a special class
of nonlinear MPC problems. IFAC-PapersOnLine. 2021;54(6):290-295. doi:10.1016/j.ifacol.2021.08.559
apa: Schulze Darup, M., Klädtke, M., & Mönnigmann, M. (2021). Exact solution
to a special class of nonlinear MPC problems. IFAC-PapersOnLine, 54(6),
290–295. https://doi.org/10.1016/j.ifacol.2021.08.559
bibtex: '@article{Schulze Darup_Klädtke_Mönnigmann_2021, title={Exact solution to
a special class of nonlinear MPC problems}, volume={54}, DOI={10.1016/j.ifacol.2021.08.559},
number={6}, journal={IFAC-PapersOnLine}, publisher={Elsevier BV}, author={Schulze
Darup, Moritz and Klädtke, Manuel and Mönnigmann, Martin}, year={2021}, pages={290–295}
}'
chicago: 'Schulze Darup, Moritz, Manuel Klädtke, and Martin Mönnigmann. “Exact Solution
to a Special Class of Nonlinear MPC Problems.” IFAC-PapersOnLine 54, no.
6 (2021): 290–95. https://doi.org/10.1016/j.ifacol.2021.08.559.'
ieee: 'M. Schulze Darup, M. Klädtke, and M. Mönnigmann, “Exact solution to a special
class of nonlinear MPC problems,” IFAC-PapersOnLine, vol. 54, no. 6, pp.
290–295, 2021, doi: 10.1016/j.ifacol.2021.08.559.'
mla: Schulze Darup, Moritz, et al. “Exact Solution to a Special Class of Nonlinear
MPC Problems.” IFAC-PapersOnLine, vol. 54, no. 6, Elsevier BV, 2021, pp.
290–95, doi:10.1016/j.ifacol.2021.08.559.
short: M. Schulze Darup, M. Klädtke, M. Mönnigmann, IFAC-PapersOnLine 54 (2021)
290–295.
date_created: 2023-01-09T16:34:42Z
date_updated: 2023-01-09T16:43:16Z
department:
- _id: '622'
doi: 10.1016/j.ifacol.2021.08.559
extern: '1'
intvolume: ' 54'
issue: '6'
keyword:
- Control and Systems Engineering
language:
- iso: eng
page: 290-295
publication: IFAC-PapersOnLine
publication_identifier:
issn:
- 2405-8963
publication_status: published
publisher: Elsevier BV
status: public
title: Exact solution to a special class of nonlinear MPC problems
type: journal_article
user_id: '158'
volume: 54
year: '2021'
...
---
_id: '35578'
author:
- first_name: Timm
full_name: Faulwasser, Timm
last_name: Faulwasser
- first_name: Sergio
full_name: Lucia, Sergio
last_name: Lucia
- first_name: Moritz
full_name: Schulze Darup, Moritz
last_name: Schulze Darup
- first_name: Martin
full_name: Mönnigmann, Martin
last_name: Mönnigmann
citation:
ama: 'Faulwasser T, Lucia S, Schulze Darup M, Mönnigmann M. Teaching MPC: Which
Way to the Promised Land? IFAC-PapersOnLine. 2021;54(6):238-243. doi:10.1016/j.ifacol.2021.08.551'
apa: 'Faulwasser, T., Lucia, S., Schulze Darup, M., & Mönnigmann, M. (2021).
Teaching MPC: Which Way to the Promised Land? IFAC-PapersOnLine, 54(6),
238–243. https://doi.org/10.1016/j.ifacol.2021.08.551'
bibtex: '@article{Faulwasser_Lucia_Schulze Darup_Mönnigmann_2021, title={Teaching
MPC: Which Way to the Promised Land?}, volume={54}, DOI={10.1016/j.ifacol.2021.08.551},
number={6}, journal={IFAC-PapersOnLine}, publisher={Elsevier BV}, author={Faulwasser,
Timm and Lucia, Sergio and Schulze Darup, Moritz and Mönnigmann, Martin}, year={2021},
pages={238–243} }'
chicago: 'Faulwasser, Timm, Sergio Lucia, Moritz Schulze Darup, and Martin Mönnigmann.
“Teaching MPC: Which Way to the Promised Land?” IFAC-PapersOnLine 54, no.
6 (2021): 238–43. https://doi.org/10.1016/j.ifacol.2021.08.551.'
ieee: 'T. Faulwasser, S. Lucia, M. Schulze Darup, and M. Mönnigmann, “Teaching MPC:
Which Way to the Promised Land?,” IFAC-PapersOnLine, vol. 54, no. 6, pp.
238–243, 2021, doi: 10.1016/j.ifacol.2021.08.551.'
mla: 'Faulwasser, Timm, et al. “Teaching MPC: Which Way to the Promised Land?” IFAC-PapersOnLine,
vol. 54, no. 6, Elsevier BV, 2021, pp. 238–43, doi:10.1016/j.ifacol.2021.08.551.'
short: T. Faulwasser, S. Lucia, M. Schulze Darup, M. Mönnigmann, IFAC-PapersOnLine
54 (2021) 238–243.
date_created: 2023-01-09T16:35:32Z
date_updated: 2023-01-09T16:43:08Z
department:
- _id: '622'
doi: 10.1016/j.ifacol.2021.08.551
extern: '1'
intvolume: ' 54'
issue: '6'
keyword:
- Control and Systems Engineering
language:
- iso: eng
page: 238-243
publication: IFAC-PapersOnLine
publication_identifier:
issn:
- 2405-8963
publication_status: published
publisher: Elsevier BV
status: public
title: 'Teaching MPC: Which Way to the Promised Land?'
type: journal_article
user_id: '158'
volume: 54
year: '2021'
...