---
_id: '7257'
abstract:
- lang: eng
text: Solving inverse static initialization problems, in which the outputs of a
process are prescribed, is often more numerically challenging than solving direct
initialization problem, where inputs are fixed instead. This paper proposes the
introduction of a new initialSimplified() operator in Modelica, which allows to
solve inverse problems with the same reliability as direct problems, using an
intuitive, straightforward Modelica formulation. The proposed solution can be
trivially implemented in Modelica tools and will be 100% portable among them,
once the new operator is standardized. The usefulness of the proposed approach
is demonstrated on a conceptual thermal power generation plant model.
author:
- first_name: Francesco
full_name: Casella, Francesco
last_name: Casella
- first_name: Philip
full_name: Hannebohm, Philip
id: '221456'
last_name: Hannebohm
orcid: 0009-0003-8902-9079
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0003-8902-9079/work/231825701
- first_name: Matteo Luigi De
full_name: Pascali, Matteo Luigi De
last_name: Pascali
conference:
end_date: 2026-09-22
location: Hangzhou, China
name: Asian Modelica & FMI Conference
start_date: 2026-09-20
date_created: 2026-10-31T14:00:35Z
date_updated: 2026-10-31T14:01:59Z
department:
- _id: '103'
doi: 10.3384/ecp22331
file:
- access_level: open_access
content_type: application/pdf
creator: phannebohm
date_created: 2026-10-31T13:55:33Z
date_updated: 2026-10-31T13:55:33Z
file_id: '7258'
file_name: AMFC2026_paper_T1S2P1.pdf
file_size: 413909
relation: main_file
success: 1
file_date_updated: 2026-10-31T13:55:33Z
has_accepted_license: '1'
intvolume: ' 223'
keyword:
- Modelica language
- initialization
- homotopy
- convergence problems
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://ecp.ep.liu.se/index.php/modelica/article/view/1653
oa: '1'
publication: Proceedings of the Asian Modelica & FMI Conference Hangzhou, China, September
20-22, 2026
publication_identifier:
eisbn:
- 978-91-8118-699-4
publication_status: published
publisher: Linköping University Electronic Press
quality_controlled: '1'
series_title: Linköping Electronic Conference Proceedings
status: public
title: 'Robust solution of inverse static problems in Modelica: the case for the initialSimplified()
operator'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
urn: urn:nbn:de:hbz:bi10-72570
user_id: '221456'
volume: 223
year: '2026'
...
---
_id: '6449'
author:
- first_name: Francesco
full_name: Casella, Francesco
last_name: Casella
- first_name: Bernhard
full_name: Bachmann, Bernhard
id: '33931'
last_name: Bachmann
orcid: 0000-0002-4339-0438
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4339-0438/work/202504612
- first_name: Karim
full_name: Abdelhak, Karim
last_name: Abdelhak
- first_name: Philip
full_name: Hannebohm, Philip
id: '221456'
last_name: Hannebohm
orcid: 0009-0003-8902-9079
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0003-8902-9079/work/202504613
- first_name: Teus
full_name: Van der Stelt, Teus
last_name: Van der Stelt
citation:
alphadin: 'Casella, Francesco ; Bachmann, Bernhard ; Abdelhak,
Karim ; Hannebohm, Philip
; Van der Stelt, Teus: Diagnosing
Newton’s Solver Convergence Failures in the Initialization of Modelica Models.
In: Proceedings of the 16th International Modelica&FMI Conference, September
8 – 10, 2025, Lucerne University of Applied Sciences and Arts (HSLU), Linköping
Electronic Conference Proceedings. Bd. 218 : Linköping University Electronic
Press, 2025'
ama: 'Casella F, Bachmann B, Abdelhak K, Hannebohm P, Van der Stelt T. Diagnosing
Newton’s Solver Convergence Failures in the Initialization of Modelica Models.
In: Proceedings of the 16th International Modelica&FMI Conference, September
8 – 10, 2025, Lucerne University of Applied Sciences and Arts (HSLU). Vol
218. Linköping Electronic Conference Proceedings. Linköping University Electronic
Press; 2025. doi:10.3384/ecp218109'
apa: Casella, F., Bachmann, B., Abdelhak, K., Hannebohm, P., & Van der Stelt,
T. (2025). Diagnosing Newton’s Solver Convergence Failures in the Initialization
of Modelica Models. In Proceedings of the 16th International Modelica&FMI
Conference, September 8 – 10, 2025, Lucerne University of Applied Sciences and
Arts (HSLU) (Vol. 218). Linköping University Electronic Press. https://doi.org/10.3384/ecp218109
bibtex: '@inproceedings{Casella_Bachmann_Abdelhak_Hannebohm_Van der Stelt_2025,
series={Linköping Electronic Conference Proceedings}, title={Diagnosing Newton’s
Solver Convergence Failures in the Initialization of Modelica Models}, volume={218},
DOI={10.3384/ecp218109}, booktitle={Proceedings
of the 16th International Modelica&FMI Conference, September 8 – 10, 2025,
Lucerne University of Applied Sciences and Arts (HSLU)}, publisher={Linköping
University Electronic Press}, author={Casella, Francesco and Bachmann, Bernhard
and Abdelhak, Karim and Hannebohm, Philip and Van der Stelt, Teus}, year={2025},
collection={Linköping Electronic Conference Proceedings} }'
chicago: Casella, Francesco, Bernhard Bachmann, Karim Abdelhak, Philip Hannebohm,
and Teus Van der Stelt. “Diagnosing Newton’s Solver Convergence Failures in the
Initialization of Modelica Models.” In Proceedings of the 16th International
Modelica&FMI Conference, September 8 – 10, 2025, Lucerne University of Applied
Sciences and Arts (HSLU), Vol. 218. Linköping Electronic Conference Proceedings.
Linköping University Electronic Press, 2025. https://doi.org/10.3384/ecp218109.
ieee: F. Casella, B. Bachmann, K. Abdelhak, P. Hannebohm, and T. Van der Stelt,
“Diagnosing Newton’s Solver Convergence Failures in the Initialization of Modelica
Models,” in Proceedings of the 16th International Modelica&FMI Conference,
September 8 – 10, 2025, Lucerne University of Applied Sciences and Arts (HSLU),
2025, vol. 218.
mla: Casella, Francesco, et al. “Diagnosing Newton’s Solver Convergence Failures
in the Initialization of Modelica Models.” Proceedings of the 16th International
Modelica&FMI Conference, September 8 – 10, 2025, Lucerne University of Applied
Sciences and Arts (HSLU), vol. 218, Linköping University Electronic Press,
2025, doi:10.3384/ecp218109.
short: 'F. Casella, B. Bachmann, K. Abdelhak, P. Hannebohm, T. Van der Stelt, in:
Proceedings of the 16th International Modelica&FMI Conference, September 8
– 10, 2025, Lucerne University of Applied Sciences and Arts (HSLU), Linköping
University Electronic Press, 2025.'
conference:
name: The 16th International Modelica&FMI Conference, September 8 – 10, 2025, Lucerne
University of Applied Sciences and Arts (HSLU)
date_created: 2026-01-14T16:10:30Z
date_updated: 2026-06-09T07:27:07Z
doi: 10.3384/ecp218109
intvolume: ' 218'
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
publication: Proceedings of the 16th International Modelica&FMI Conference, September
8 – 10, 2025, Lucerne University of Applied Sciences and Arts (HSLU)
publication_identifier:
eisbn:
- 978-91-8118-266-8
publication_status: published
publisher: Linköping University Electronic Press
series_title: Linköping Electronic Conference Proceedings
status: public
title: Diagnosing Newton’s Solver Convergence Failures in the Initialization of Modelica
Models
type: conference
user_id: '250307'
volume: 218
year: '2025'
...
---
_id: '6445'
article_number: '30'
article_type: original
author:
- first_name: Bernhard
full_name: Bachmann, Bernhard
id: '33931'
last_name: Bachmann
orcid: 0000-0002-4339-0438
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4339-0438/work/202504183
- first_name: Luca
full_name: Bonaventura, Luca
last_name: Bonaventura
- first_name: Francesco
full_name: Casella, Francesco
last_name: Casella
- first_name: Soledad
full_name: Fernández-García, Soledad
last_name: Fernández-García
- first_name: Macarena
full_name: Gómez-Mármol, Macarena
last_name: Gómez-Mármol
- first_name: Philip
full_name: Hannebohm, Philip
id: '221456'
last_name: Hannebohm
orcid: 0009-0003-8902-9079
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0003-8902-9079/work/202504184
citation:
alphadin: 'Bachmann, Bernhard ; Bonaventura, Luca ; Casella,
Francesco ; Fernández-García, Soledad
; Gómez-Mármol, Macarena ; Hannebohm, Philip: Self-Adjusting Multi-Rate
Runge-Kutta Methods: Analysis and Efficient Implementation in An Open Source Framework.
In: Journal of Scientific Computing Bd. 105, Springer Science and Business
Media LLC (2025), Nr. 1'
ama: 'Bachmann B, Bonaventura L, Casella F, Fernández-García S, Gómez-Mármol M,
Hannebohm P. Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient
Implementation in An Open Source Framework. Journal of Scientific Computing.
2025;105(1). doi:10.1007/s10915-025-03049-y'
apa: 'Bachmann, B., Bonaventura, L., Casella, F., Fernández-García, S., Gómez-Mármol,
M., & Hannebohm, P. (2025). Self-Adjusting Multi-Rate Runge-Kutta Methods:
Analysis and Efficient Implementation in An Open Source Framework. Journal
of Scientific Computing, 105(1). https://doi.org/10.1007/s10915-025-03049-y'
bibtex: '@article{Bachmann_Bonaventura_Casella_Fernández-García_Gómez-Mármol_Hannebohm_2025,
title={Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient Implementation
in An Open Source Framework}, volume={105}, DOI={10.1007/s10915-025-03049-y},
number={130}, journal={Journal of Scientific Computing}, publisher={Springer Science
and Business Media LLC}, author={Bachmann, Bernhard and Bonaventura, Luca and
Casella, Francesco and Fernández-García, Soledad and Gómez-Mármol, Macarena and
Hannebohm, Philip}, year={2025} }'
chicago: 'Bachmann, Bernhard, Luca Bonaventura, Francesco Casella, Soledad Fernández-García,
Macarena Gómez-Mármol, and Philip Hannebohm. “Self-Adjusting Multi-Rate Runge-Kutta
Methods: Analysis and Efficient Implementation in An Open Source Framework.” Journal
of Scientific Computing 105, no. 1 (2025). https://doi.org/10.1007/s10915-025-03049-y.'
ieee: 'B. Bachmann, L. Bonaventura, F. Casella, S. Fernández-García, M. Gómez-Mármol,
and P. Hannebohm, “Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and
Efficient Implementation in An Open Source Framework,” Journal of Scientific
Computing, vol. 105, no. 1, 2025.'
mla: 'Bachmann, Bernhard, et al. “Self-Adjusting Multi-Rate Runge-Kutta Methods:
Analysis and Efficient Implementation in An Open Source Framework.” Journal
of Scientific Computing, vol. 105, no. 1, 30, Springer Science and Business
Media LLC, 2025, doi:10.1007/s10915-025-03049-y.'
short: B. Bachmann, L. Bonaventura, F. Casella, S. Fernández-García, M. Gómez-Mármol,
P. Hannebohm, Journal of Scientific Computing 105 (2025).
date_created: 2026-01-14T16:03:23Z
date_updated: 2026-06-09T07:23:49Z
doi: 10.1007/s10915-025-03049-y
intvolume: ' 105'
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
publication: Journal of Scientific Computing
publication_identifier:
eissn:
- 1573-7691
issn:
- 0885-7474
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: 'Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient Implementation
in An Open Source Framework'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: '250307'
volume: 105
year: '2025'
...
---
_id: '6359'
author:
- first_name: Linus
full_name: Langenkamp, Linus
id: '240430'
last_name: Langenkamp
orcid: 0009-0009-7517-4842
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0009-7517-4842/work/198540284
- first_name: Philip
full_name: Hannebohm, Philip
id: '221456'
last_name: Hannebohm
orcid: 0009-0003-8902-9079
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0003-8902-9079/work/198540286
- first_name: Bernhard
full_name: Bachmann, Bernhard
id: '33931'
last_name: Bachmann
orcid: 0000-0002-4339-0438
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4339-0438/work/198540287
citation:
alphadin: 'Langenkamp, Linus ; Hannebohm, Philip ; Bachmann,
Bernhard: Efficient Training of Physics-enhanced Neural ODEs via Direct
Collocation and Nonlinear Programming. In: Zimmer,
D. ; Müller, U. C. (Hrsg.):
Proceedings of the 16th International Modelica&FMI Conference. Bd.
218 : Linköping University Electronic Press, 2025, S. 445–457'
ama: 'Langenkamp L, Hannebohm P, Bachmann B. Efficient Training of Physics-enhanced
Neural ODEs via Direct Collocation and Nonlinear Programming. In: Zimmer D, Müller
UC, eds. Proceedings of the 16th International Modelica&FMI Conference.
Vol 218. Linköping University Electronic Press; 2025:445-457. doi:10.3384/ecp218445'
apa: 'Langenkamp, L., Hannebohm, P., & Bachmann, B. (2025). Efficient Training
of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming.
In D. Zimmer & U. C. Müller (Eds.), Proceedings of the 16th International
Modelica&FMI Conference (Vol. 218, pp. 445–457). Luzern: Linköping University
Electronic Press. https://doi.org/10.3384/ecp218445'
bibtex: '@inproceedings{Langenkamp_Hannebohm_Bachmann_2025, title={Efficient Training
of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming},
volume={218}, DOI={10.3384/ecp218445},
booktitle={Proceedings of the 16th International Modelica&FMI Conference},
publisher={Linköping University Electronic Press}, author={Langenkamp, Linus and
Hannebohm, Philip and Bachmann, Bernhard}, editor={Zimmer, Dirk and Müller, Ulf
ChristianEditors}, year={2025}, pages={445–457} }'
chicago: Langenkamp, Linus, Philip Hannebohm, and Bernhard Bachmann. “Efficient
Training of Physics-Enhanced Neural ODEs via Direct Collocation and Nonlinear
Programming.” In Proceedings of the 16th International Modelica&FMI Conference,
edited by Dirk Zimmer and Ulf Christian Müller, 218:445–57. Linköping University
Electronic Press, 2025. https://doi.org/10.3384/ecp218445.
ieee: L. Langenkamp, P. Hannebohm, and B. Bachmann, “Efficient Training of Physics-enhanced
Neural ODEs via Direct Collocation and Nonlinear Programming,” in Proceedings
of the 16th International Modelica&FMI Conference, Luzern, 2025, vol.
218, pp. 445–457.
mla: Langenkamp, Linus, et al. “Efficient Training of Physics-Enhanced Neural ODEs
via Direct Collocation and Nonlinear Programming.” Proceedings of the 16th
International Modelica&FMI Conference, edited by Dirk Zimmer and Ulf Christian
Müller, vol. 218, Linköping University Electronic Press, 2025, pp. 445–57, doi:10.3384/ecp218445.
short: 'L. Langenkamp, P. Hannebohm, B. Bachmann, in: D. Zimmer, U.C. Müller (Eds.),
Proceedings of the 16th International Modelica&FMI Conference, Linköping University
Electronic Press, 2025, pp. 445–457.'
conference:
end_date: 2025-09-10
location: Luzern
name: The 16th International Modelica&FMI Conference
start_date: 2025-09-08
date_created: 2025-12-02T13:49:45Z
date_updated: 2026-06-09T07:22:33Z
department:
- _id: '103'
doi: 10.3384/ecp218445
editor:
- first_name: Dirk
full_name: Zimmer, Dirk
last_name: Zimmer
- first_name: Ulf Christian
full_name: Müller, Ulf Christian
last_name: Müller
file:
- access_level: open_access
content_type: application/pdf
creator: llangenkamp
date_created: 2025-12-02T13:48:28Z
date_updated: 2025-12-02T13:48:28Z
file_id: '6360'
file_name: paper.pdf
file_size: 11486460
relation: main_file
success: 1
file_date_updated: 2025-12-02T13:48:28Z
has_accepted_license: '1'
intvolume: ' 218'
keyword:
- Physics-enhanced Neural ODEs
- Dynamic Optimization
- Nonlinear Programming
- Modelica
- NeuralODEs
- Universal Differential Equations
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
page: 445 - 457
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
publication: Proceedings of the 16th International Modelica&FMI Conference
publication_status: published
publisher: Linköping University Electronic Press
status: public
title: Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and
Nonlinear Programming
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
urn: urn:nbn:de:hbz:bi10-63592
user_id: '250307'
volume: 218
year: '2025'
...
---
_id: '6448'
author:
- first_name: Felix
full_name: Brandt, Felix
last_name: Brandt
- first_name: Andreas
full_name: Heuermann, Andreas
last_name: Heuermann
- first_name: Philip
full_name: Hannebohm, Philip
id: '221456'
last_name: Hannebohm
orcid: 0009-0003-8902-9079
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0003-8902-9079/work/202504693
- first_name: Bernhard
full_name: Bachmann, Bernhard
id: '33931'
last_name: Bachmann
orcid: 0000-0002-4339-0438
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4339-0438/work/202504694
citation:
alphadin: 'Brandt, Felix ; Heuermann,
Andreas ; Hannebohm, Philip
; Bachmann, Bernhard: Residual-Informed
Learning of Solutions to Algebraic Loops. In: arXiv:2510.09317 (2025)'
ama: Brandt F, Heuermann A, Hannebohm P, Bachmann B. Residual-Informed Learning
of Solutions to Algebraic Loops. arXiv:251009317. 2025.
apa: Brandt, F., Heuermann, A., Hannebohm, P., & Bachmann, B. (2025). Residual-Informed
Learning of Solutions to Algebraic Loops. ArXiv:2510.09317.
bibtex: '@article{Brandt_Heuermann_Hannebohm_Bachmann_2025, title={Residual-Informed
Learning of Solutions to Algebraic Loops}, journal={arXiv:2510.09317}, author={Brandt,
Felix and Heuermann, Andreas and Hannebohm, Philip and Bachmann, Bernhard}, year={2025}
}'
chicago: Brandt, Felix, Andreas Heuermann, Philip Hannebohm, and Bernhard Bachmann.
“Residual-Informed Learning of Solutions to Algebraic Loops.” ArXiv:2510.09317,
2025.
ieee: F. Brandt, A. Heuermann, P. Hannebohm, and B. Bachmann, “Residual-Informed
Learning of Solutions to Algebraic Loops,” arXiv:2510.09317. 2025.
mla: Brandt, Felix, et al. “Residual-Informed Learning of Solutions to Algebraic
Loops.” ArXiv:2510.09317, 2025.
short: F. Brandt, A. Heuermann, P. Hannebohm, B. Bachmann, ArXiv:2510.09317 (2025).
date_created: 2026-01-14T16:09:00Z
date_updated: 2026-06-09T07:22:01Z
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
publication: arXiv:2510.09317
status: public
title: Residual-Informed Learning of Solutions to Algebraic Loops
type: preprint
user_id: '250307'
year: '2025'
...
---
_id: '6357'
author:
- first_name: Philip
full_name: Hannebohm, Philip
id: '221456'
last_name: Hannebohm
orcid: 0009-0003-8902-9079
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0003-8902-9079/work/198431201
- first_name: Bernhard
full_name: Bachmann, Bernhard
id: '33931'
last_name: Bachmann
orcid: 0000-0002-4339-0438
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4339-0438/work/198431202
citation:
alphadin: 'Hannebohm, Philip ; Bachmann, Bernhard: Selective Evaluation
of RHS during Multi-Rate Simulation. In: Zimmer,
D. ; Müller, U. C. (Hrsg.):
Proceedings of the 16th International Modelica&FMI Conference, Linköping
Electronic Conference Proceedings. Bd. 218 : Linköping University Electronic
Press, 2025, S. 943–947'
ama: 'Hannebohm P, Bachmann B. Selective Evaluation of RHS during Multi-Rate Simulation.
In: Zimmer D, Müller UC, eds. Proceedings of the 16th International Modelica&FMI
Conference. Vol 218. Linköping Electronic Conference Proceedings. Linköping
University Electronic Press; 2025:943–947. doi:10.3384/ecp218943'
apa: 'Hannebohm, P., & Bachmann, B. (2025). Selective Evaluation of RHS during
Multi-Rate Simulation. In D. Zimmer & U. C. Müller (Eds.), Proceedings
of the 16th International Modelica&FMI Conference (Vol. 218, pp. 943–947).
Lucerne: Linköping University Electronic Press. https://doi.org/10.3384/ecp218943'
bibtex: '@inproceedings{Hannebohm_Bachmann_2025, series={Linköping Electronic Conference
Proceedings}, title={Selective Evaluation of RHS during Multi-Rate Simulation},
volume={218}, DOI={10.3384/ecp218943},
booktitle={Proceedings of the 16th International Modelica&FMI Conference},
publisher={Linköping University Electronic Press}, author={Hannebohm, Philip and
Bachmann, Bernhard}, editor={Zimmer, Dirk and Müller, Ulf ChristianEditors}, year={2025},
pages={943–947}, collection={Linköping Electronic Conference Proceedings} }'
chicago: Hannebohm, Philip, and Bernhard Bachmann. “Selective Evaluation of RHS
during Multi-Rate Simulation.” In Proceedings of the 16th International Modelica&FMI
Conference, edited by Dirk Zimmer and Ulf Christian Müller, 218:943–947. Linköping
Electronic Conference Proceedings. Linköping University Electronic Press, 2025.
https://doi.org/10.3384/ecp218943.
ieee: P. Hannebohm and B. Bachmann, “Selective Evaluation of RHS during Multi-Rate
Simulation,” in Proceedings of the 16th International Modelica&FMI Conference,
Lucerne, 2025, vol. 218, pp. 943–947.
mla: Hannebohm, Philip, and Bernhard Bachmann. “Selective Evaluation of RHS during
Multi-Rate Simulation.” Proceedings of the 16th International Modelica&FMI
Conference, edited by Dirk Zimmer and Ulf Christian Müller, vol. 218, Linköping
University Electronic Press, 2025, pp. 943–947, doi:10.3384/ecp218943.
short: 'P. Hannebohm, B. Bachmann, in: D. Zimmer, U.C. Müller (Eds.), Proceedings
of the 16th International Modelica&FMI Conference, Linköping University Electronic
Press, 2025, pp. 943–947.'
conference:
end_date: 2025-09-10
location: Lucerne
name: The 16th International Modelica&FMI Conference
start_date: 2025-09-08
date_created: 2025-12-01T13:48:57Z
date_updated: 2026-06-09T07:21:38Z
department:
- _id: '103'
doi: 10.3384/ecp218943
editor:
- first_name: Dirk
full_name: Zimmer, Dirk
last_name: Zimmer
- first_name: Ulf Christian
full_name: Müller, Ulf Christian
last_name: Müller
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intvolume: ' 218'
keyword:
- Equation-based modelling
- Multi-rate simulation
- Structural analysis
language:
- iso: eng
oa: '1'
page: 943–947
project:
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name: Institute for Data Science Solutions
publication: Proceedings of the 16th International Modelica&FMI Conference
publication_identifier:
eisbn:
- 978-91-8118-266-8
publication_status: published
publisher: Linköping University Electronic Press
quality_controlled: '1'
series_title: Linköping Electronic Conference Proceedings
status: public
title: Selective Evaluation of RHS during Multi-Rate Simulation
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urn: urn:nbn:de:hbz:bi10-63570
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---
_id: '4620'
author:
- first_name: Andreas
full_name: Heuermann, Andreas
last_name: Heuermann
- first_name: Philip
full_name: Hannebohm, Philip
id: '221456'
last_name: Hannebohm
orcid: 0009-0003-8902-9079
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0003-8902-9079/work/161055991
- first_name: Matthias
full_name: Schäfer, Matthias
last_name: Schäfer
- first_name: Bernhard
full_name: Bachmann, Bernhard
id: '33931'
last_name: Bachmann
orcid: 0000-0002-4339-0438
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citation:
alphadin: 'Heuermann, Andreas ; Hannebohm, Philip ; Schäfer,
Matthias ; Bachmann, Bernhard:
Fehlerkontrollierte ML-Surrogate zur beschleunigten Simulation nichtlinearer Gleichungssysteme
in Modelica. In: : Unpublished, 2023'
ama: 'Heuermann A, Hannebohm P, Schäfer M, Bachmann B. Fehlerkontrollierte ML-Surrogate
zur beschleunigten Simulation nichtlinearer Gleichungssysteme in Modelica. In:
Unpublished; 2023. doi:10.13140/RG.2.2.11838.70729'
apa: 'Heuermann, A., Hannebohm, P., Schäfer, M., & Bachmann, B. (2023). Fehlerkontrollierte
ML-Surrogate zur beschleunigten Simulation nichtlinearer Gleichungssysteme in
Modelica. Presented at the KI@HSBI 2023 Kongress, Bielefeld: Unpublished. https://doi.org/10.13140/RG.2.2.11838.70729'
bibtex: '@inproceedings{Heuermann_Hannebohm_Schäfer_Bachmann_2023, title={Fehlerkontrollierte
ML-Surrogate zur beschleunigten Simulation nichtlinearer Gleichungssysteme in
Modelica}, DOI={10.13140/RG.2.2.11838.70729},
publisher={Unpublished}, author={Heuermann, Andreas and Hannebohm, Philip and
Schäfer, Matthias and Bachmann, Bernhard}, year={2023} }'
chicago: Heuermann, Andreas, Philip Hannebohm, Matthias Schäfer, and Bernhard Bachmann.
“Fehlerkontrollierte ML-Surrogate Zur Beschleunigten Simulation Nichtlinearer
Gleichungssysteme in Modelica.” Unpublished, 2023. https://doi.org/10.13140/RG.2.2.11838.70729.
ieee: A. Heuermann, P. Hannebohm, M. Schäfer, and B. Bachmann, “Fehlerkontrollierte
ML-Surrogate zur beschleunigten Simulation nichtlinearer Gleichungssysteme in
Modelica,” presented at the KI@HSBI 2023 Kongress, Bielefeld, 2023.
mla: Heuermann, Andreas, et al. Fehlerkontrollierte ML-Surrogate Zur Beschleunigten
Simulation Nichtlinearer Gleichungssysteme in Modelica. Unpublished, 2023,
doi:10.13140/RG.2.2.11838.70729.
short: 'A. Heuermann, P. Hannebohm, M. Schäfer, B. Bachmann, in: Unpublished, 2023.'
conference:
end_date: 2023-11-30
location: Bielefeld
name: KI@HSBI 2023 Kongress
start_date: 2023-11-30
date_created: 2024-05-29T10:06:06Z
date_updated: 2026-07-06T12:17:38Z
doi: 10.13140/RG.2.2.11838.70729
file:
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content_type: application/pdf
creator: bbachmann
date_created: 2024-05-29T10:28:33Z
date_updated: 2024-05-29T10:28:33Z
file_id: '4625'
file_name: Fehlerkorrigierende_ML-Surrogate_zur_Beschleunigung_nichtlinearer_Gleichungssysteme_in_Modelica_Simulationen.pdf
file_size: 545448
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oa: '1'
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
publisher: Unpublished
status: public
title: Fehlerkontrollierte ML-Surrogate zur beschleunigten Simulation nichtlinearer
Gleichungssysteme in Modelica
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type: conference_abstract
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user_id: '33976'
year: '2023'
...
---
_id: '4618'
author:
- first_name: Andreas
full_name: Heuermann, Andreas
last_name: Heuermann
- first_name: Philip
full_name: Hannebohm, Philip
id: '221456'
last_name: Hannebohm
orcid: 0009-0003-8902-9079
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0003-8902-9079/work/161055467
- first_name: Matthias
full_name: Schäfer, Matthias
last_name: Schäfer
- first_name: Bernhard
full_name: Bachmann, Bernhard
id: '33931'
last_name: Bachmann
orcid: 0000-0002-4339-0438
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4339-0438/work/161055468
citation:
alphadin: 'Heuermann, Andreas ; Hannebohm, Philip ; Schäfer,
Matthias ; Bachmann, Bernhard:
Accelerating the simulation of equation-based models by replacing non-linear algebraic
loops with error-controlled machine learning surrogates. In: Müller,
D. ; Monti, A. ; Benigni,
A. (Hrsg.): Proceedings of the 15th International Modelica Conference
2023, Aachen, October 9-11, Linköping Electronic Conference Proceedings.
Bd. 204 : Linköping University Electronic Press, 2023, S. 275–284'
ama: 'Heuermann A, Hannebohm P, Schäfer M, Bachmann B. Accelerating the simulation
of equation-based models by replacing non-linear algebraic loops with error-controlled
machine learning surrogates. In: Müller D, Monti A, Benigni A, eds. Proceedings
of the 15th International Modelica Conference 2023, Aachen, October 9-11.
Vol 204. Linköping Electronic Conference Proceedings. Linköping University Electronic
Press; 2023:275-284. doi:10.3384/ecp204275'
apa: 'Heuermann, A., Hannebohm, P., Schäfer, M., & Bachmann, B. (2023). Accelerating
the simulation of equation-based models by replacing non-linear algebraic loops
with error-controlled machine learning surrogates. In D. Müller, A. Monti, &
A. Benigni (Eds.), Proceedings of the 15th International Modelica Conference
2023, Aachen, October 9-11 (Vol. 204, pp. 275–284). Aachen: Linköping University
Electronic Press. https://doi.org/10.3384/ecp204275'
bibtex: '@inproceedings{Heuermann_Hannebohm_Schäfer_Bachmann_2023, series={Linköping
Electronic Conference Proceedings}, title={Accelerating the simulation of equation-based
models by replacing non-linear algebraic loops with error-controlled machine learning
surrogates}, volume={204}, DOI={10.3384/ecp204275},
booktitle={Proceedings of the 15th International Modelica Conference 2023, Aachen,
October 9-11}, publisher={Linköping University Electronic Press}, author={Heuermann,
Andreas and Hannebohm, Philip and Schäfer, Matthias and Bachmann, Bernhard}, editor={Müller,
Dirk and Monti, Antonello and Benigni, Andrea Editors}, year={2023}, pages={275–284},
collection={Linköping Electronic Conference Proceedings} }'
chicago: Heuermann, Andreas, Philip Hannebohm, Matthias Schäfer, and Bernhard Bachmann.
“Accelerating the Simulation of Equation-Based Models by Replacing Non-Linear
Algebraic Loops with Error-Controlled Machine Learning Surrogates.” In Proceedings
of the 15th International Modelica Conference 2023, Aachen, October 9-11,
edited by Dirk Müller, Antonello Monti, and Andrea Benigni, 204:275–84. Linköping
Electronic Conference Proceedings. Linköping University Electronic Press, 2023.
https://doi.org/10.3384/ecp204275.
ieee: A. Heuermann, P. Hannebohm, M. Schäfer, and B. Bachmann, “Accelerating the
simulation of equation-based models by replacing non-linear algebraic loops with
error-controlled machine learning surrogates,” in Proceedings of the 15th International
Modelica Conference 2023, Aachen, October 9-11, Aachen, 2023, vol. 204, pp.
275–284.
mla: Heuermann, Andreas, et al. “Accelerating the Simulation of Equation-Based Models
by Replacing Non-Linear Algebraic Loops with Error-Controlled Machine Learning
Surrogates.” Proceedings of the 15th International Modelica Conference 2023,
Aachen, October 9-11, edited by Dirk Müller et al., vol. 204, Linköping University
Electronic Press, 2023, pp. 275–84, doi:10.3384/ecp204275.
short: 'A. Heuermann, P. Hannebohm, M. Schäfer, B. Bachmann, in: D. Müller, A. Monti,
A. Benigni (Eds.), Proceedings of the 15th International Modelica Conference 2023,
Aachen, October 9-11, Linköping University Electronic Press, 2023, pp. 275–284.'
conference:
end_date: 2023-10-11
location: Aachen
name: 15th International Modelica Conference 2023
start_date: 2023-10-09
date_created: 2024-05-29T10:04:12Z
date_updated: 2026-03-17T15:29:03Z
doi: 10.3384/ecp204275
editor:
- first_name: 'Dirk '
full_name: 'Müller, Dirk '
last_name: Müller
- first_name: 'Antonello '
full_name: 'Monti, Antonello '
last_name: Monti
- first_name: 'Andrea '
full_name: 'Benigni, Andrea '
last_name: Benigni
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name: Institute for Data Science Solutions
publication: Proceedings of the 15th International Modelica Conference 2023, Aachen,
October 9-11
publication_identifier:
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isbn:
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issn:
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