---
_id: '34'
author:
- first_name: Michael
full_name: Dellnitz, Michael
last_name: Dellnitz
- first_name: Julian
full_name: Eckstein, Julian
last_name: Eckstein
- first_name: Kathrin
full_name: Flaßkamp, Kathrin
last_name: Flaßkamp
- first_name: Patrick
full_name: Friedel, Patrick
last_name: Friedel
- first_name: Christian
full_name: Horenkamp, Christian
last_name: Horenkamp
- first_name: Ulrich
full_name: Köhler, Ulrich
last_name: Köhler
- first_name: Sina
full_name: Ober-Blöbaum, Sina
last_name: Ober-Blöbaum
- first_name: Sebastian
full_name: Peitz, Sebastian
last_name: Peitz
- first_name: Sebastian
full_name: Tiemeyer, Sebastian
last_name: Tiemeyer
citation:
ama: 'Dellnitz M, Eckstein J, Flaßkamp K, et al. Multiobjective Optimal Control
Methods for the Development of an Intelligent Cruise Control. In: Progress
in Industrial Mathematics at ECMI. Vol 22. Mathematics in Industry. Cham:
Springer International Publishing; 2016:633-641. doi:10.1007/978-3-319-23413-7_87'
apa: 'Dellnitz, M., Eckstein, J., Flaßkamp, K., Friedel, P., Horenkamp, C., Köhler,
U., … Tiemeyer, S. (2016). Multiobjective Optimal Control Methods for the Development
of an Intelligent Cruise Control. In Progress in Industrial Mathematics at
ECMI (Vol. 22, pp. 633–641). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-23413-7_87'
bibtex: '@inproceedings{Dellnitz_Eckstein_Flaßkamp_Friedel_Horenkamp_Köhler_Ober-Blöbaum_Peitz_Tiemeyer_2016,
place={Cham}, series={Mathematics in Industry}, title={Multiobjective Optimal
Control Methods for the Development of an Intelligent Cruise Control}, volume={22},
DOI={10.1007/978-3-319-23413-7_87},
booktitle={Progress in Industrial Mathematics at ECMI}, publisher={Springer International
Publishing}, author={Dellnitz, Michael and Eckstein, Julian and Flaßkamp, Kathrin
and Friedel, Patrick and Horenkamp, Christian and Köhler, Ulrich and Ober-Blöbaum,
Sina and Peitz, Sebastian and Tiemeyer, Sebastian}, year={2016}, pages={633–641},
collection={Mathematics in Industry} }'
chicago: 'Dellnitz, Michael, Julian Eckstein, Kathrin Flaßkamp, Patrick Friedel,
Christian Horenkamp, Ulrich Köhler, Sina Ober-Blöbaum, Sebastian Peitz, and Sebastian
Tiemeyer. “Multiobjective Optimal Control Methods for the Development of an Intelligent
Cruise Control.” In Progress in Industrial Mathematics at ECMI, 22:633–41.
Mathematics in Industry. Cham: Springer International Publishing, 2016. https://doi.org/10.1007/978-3-319-23413-7_87.'
ieee: M. Dellnitz et al., “Multiobjective Optimal Control Methods for the
Development of an Intelligent Cruise Control,” in Progress in Industrial Mathematics
at ECMI, 2016, vol. 22, pp. 633–641.
mla: Dellnitz, Michael, et al. “Multiobjective Optimal Control Methods for the Development
of an Intelligent Cruise Control.” Progress in Industrial Mathematics at ECMI,
vol. 22, Springer International Publishing, 2016, pp. 633–41, doi:10.1007/978-3-319-23413-7_87.
short: 'M. Dellnitz, J. Eckstein, K. Flaßkamp, P. Friedel, C. Horenkamp, U. Köhler,
S. Ober-Blöbaum, S. Peitz, S. Tiemeyer, in: Progress in Industrial Mathematics
at ECMI, Springer International Publishing, Cham, 2016, pp. 633–641.'
date_created: 2017-07-26T15:25:33Z
date_updated: 2022-01-06T06:59:14Z
department:
- _id: '27'
- _id: '101'
doi: 10.1007/978-3-319-23413-7_87
intvolume: ' 22'
page: 633-641
place: Cham
publication: Progress in Industrial Mathematics at ECMI
publication_identifier:
issn:
- 2212-0173
publisher: Springer International Publishing
series_title: Mathematics in Industry
status: public
title: Multiobjective Optimal Control Methods for the Development of an Intelligent
Cruise Control
type: conference
user_id: '24135'
volume: 22
year: '2016'
...
---
_id: '8759'
abstract:
- lang: eng
text: In a wide range of applications, it is desirable to optimally control a system
with respect to concurrent, potentially competing goals. This gives rise to a
multiobjective optimal control problem where, instead of computing a single optimal
solution, the set of optimal compromises, the so-called Pareto set, has to be
approximated. When it is not possible to compute the entire control trajectory
in advance, for instance due to uncertainties or unforeseeable events, model predictive
control methods can be applied to control the system during operation in real
time. In this article, we present an algorithm for the solution of multiobjective
model predictive control problems. In an offline scenario, it can be used to compute
the entire set of optimal compromises whereas in a real time scenario, one optimal
compromise is computed according to an operator's preference. The results are
illustrated using the example of an industrial laundry. A logistics model of the
laundry is developed and then utilized in the optimization routine. Results are
presented for an offline as well as an online scenario.
author:
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: https://orcid.org/0000-0002-3389-793X
- first_name: Manuel
full_name: Gräler, Manuel
last_name: Gräler
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Mirko Hessel-von
full_name: Molo, Mirko Hessel-von
last_name: Molo
- first_name: Michael
full_name: Dellnitz, Michael
last_name: Dellnitz
- first_name: Ansgar
full_name: Trächtler, Ansgar
last_name: Trächtler
citation:
ama: 'Peitz S, Gräler M, Henke C, Molo MH, Dellnitz M, Trächtler A. Multiobjective
Model Predictive Control of an Industrial Laundry. In: Procedia Technology.
; 2016:483-490. doi:10.1016/j.protcy.2016.08.061'
apa: Peitz, S., Gräler, M., Henke, C., Molo, M. H., Dellnitz, M., & Trächtler,
A. (2016). Multiobjective Model Predictive Control of an Industrial Laundry. In
Procedia Technology (pp. 483–490). https://doi.org/10.1016/j.protcy.2016.08.061
bibtex: '@inproceedings{Peitz_Gräler_Henke_Molo_Dellnitz_Trächtler_2016, title={Multiobjective
Model Predictive Control of an Industrial Laundry}, DOI={10.1016/j.protcy.2016.08.061},
booktitle={Procedia Technology}, author={Peitz, Sebastian and Gräler, Manuel and
Henke, Christian and Molo, Mirko Hessel-von and Dellnitz, Michael and Trächtler,
Ansgar}, year={2016}, pages={483–490} }'
chicago: Peitz, Sebastian, Manuel Gräler, Christian Henke, Mirko Hessel-von Molo,
Michael Dellnitz, and Ansgar Trächtler. “Multiobjective Model Predictive Control
of an Industrial Laundry.” In Procedia Technology, 483–90, 2016. https://doi.org/10.1016/j.protcy.2016.08.061.
ieee: S. Peitz, M. Gräler, C. Henke, M. H. Molo, M. Dellnitz, and A. Trächtler,
“Multiobjective Model Predictive Control of an Industrial Laundry,” in Procedia
Technology, 2016, pp. 483–490.
mla: Peitz, Sebastian, et al. “Multiobjective Model Predictive Control of an Industrial
Laundry.” Procedia Technology, 2016, pp. 483–90, doi:10.1016/j.protcy.2016.08.061.
short: 'S. Peitz, M. Gräler, C. Henke, M.H. Molo, M. Dellnitz, A. Trächtler, in:
Procedia Technology, 2016, pp. 483–490.'
date_created: 2019-03-29T13:35:59Z
date_updated: 2022-01-06T07:04:00Z
department:
- _id: '101'
doi: 10.1016/j.protcy.2016.08.061
language:
- iso: eng
page: 483-490
publication: Procedia Technology
publication_identifier:
issn:
- 2212-0173
publication_status: published
status: public
title: Multiobjective Model Predictive Control of an Industrial Laundry
type: conference
user_id: '47427'
year: '2016'
...
---
_id: '8758'
abstract:
- lang: eng
text: In this contribution we compare two different approaches to the implementation
of a Model Predictive Controller in an electric vehicle with respect to the quality
of the solution and real-time applicability. The goal is to develop an intelligent
cruise control in order to extend the vehicle range, i.e. to minimize energy consumption,
by computing the optimal torque profile for a given track. On the one hand, a
path-based linear model with strong simplifications regarding the vehicle dynamics
is used. On the other hand, a nonlinear model is employed in which the dynamics
of the mechanical and electrical subsystem are modeled.
author:
- first_name: Julian
full_name: Eckstein, Julian
last_name: Eckstein
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: https://orcid.org/0000-0002-3389-793X
- first_name: Kai
full_name: Schäfer, Kai
last_name: Schäfer
- first_name: Patrick
full_name: Friedel, Patrick
last_name: Friedel
- first_name: Ulrich
full_name: Köhler, Ulrich
last_name: Köhler
- first_name: 'Mirko '
full_name: 'Hessel von Molo, Mirko '
last_name: Hessel von Molo
- first_name: Sina
full_name: Ober-Blöbaum, Sina
id: '16494'
last_name: Ober-Blöbaum
- first_name: Michael
full_name: Dellnitz, Michael
last_name: Dellnitz
citation:
ama: 'Eckstein J, Peitz S, Schäfer K, et al. A comparison of two predictive approaches
to control the longitudinal dynamics of electric vehicles. In: Procedia Technology,
3rd International Conference on System-Integrated Intelligence: New Challenges
for Product and Production Engineering. Vol 26. ; 2016:465-472. doi:10.1016/j.protcy.2016.08.059'
apa: 'Eckstein, J., Peitz, S., Schäfer, K., Friedel, P., Köhler, U., Hessel von
Molo, M., Ober-Blöbaum, S., & Dellnitz, M. (2016). A comparison of two predictive
approaches to control the longitudinal dynamics of electric vehicles. Procedia
Technology, 3rd International Conference on System-Integrated Intelligence: New
Challenges for Product and Production Engineering, 26, 465–472. https://doi.org/10.1016/j.protcy.2016.08.059'
bibtex: '@inproceedings{Eckstein_Peitz_Schäfer_Friedel_Köhler_Hessel von Molo_Ober-Blöbaum_Dellnitz_2016,
title={A comparison of two predictive approaches to control the longitudinal dynamics
of electric vehicles}, volume={26}, DOI={10.1016/j.protcy.2016.08.059},
booktitle={Procedia Technology, 3rd International Conference on System-Integrated
Intelligence: New Challenges for Product and Production Engineering}, author={Eckstein,
Julian and Peitz, Sebastian and Schäfer, Kai and Friedel, Patrick and Köhler,
Ulrich and Hessel von Molo, Mirko and Ober-Blöbaum, Sina and Dellnitz, Michael},
year={2016}, pages={465–472} }'
chicago: 'Eckstein, Julian, Sebastian Peitz, Kai Schäfer, Patrick Friedel, Ulrich
Köhler, Mirko Hessel von Molo, Sina Ober-Blöbaum, and Michael Dellnitz. “A Comparison
of Two Predictive Approaches to Control the Longitudinal Dynamics of Electric
Vehicles.” In Procedia Technology, 3rd International Conference on System-Integrated
Intelligence: New Challenges for Product and Production Engineering, 26:465–72,
2016. https://doi.org/10.1016/j.protcy.2016.08.059.'
ieee: 'J. Eckstein et al., “A comparison of two predictive approaches to
control the longitudinal dynamics of electric vehicles,” in Procedia Technology,
3rd International Conference on System-Integrated Intelligence: New Challenges
for Product and Production Engineering, 2016, vol. 26, pp. 465–472, doi: 10.1016/j.protcy.2016.08.059.'
mla: 'Eckstein, Julian, et al. “A Comparison of Two Predictive Approaches to Control
the Longitudinal Dynamics of Electric Vehicles.” Procedia Technology, 3rd International
Conference on System-Integrated Intelligence: New Challenges for Product and Production
Engineering, vol. 26, 2016, pp. 465–72, doi:10.1016/j.protcy.2016.08.059.'
short: 'J. Eckstein, S. Peitz, K. Schäfer, P. Friedel, U. Köhler, M. Hessel von
Molo, S. Ober-Blöbaum, M. Dellnitz, in: Procedia Technology, 3rd International
Conference on System-Integrated Intelligence: New Challenges for Product and Production
Engineering, 2016, pp. 465–472.'
date_created: 2019-03-29T13:35:25Z
date_updated: 2022-01-21T14:10:10Z
department:
- _id: '101'
doi: 10.1016/j.protcy.2016.08.059
intvolume: ' 26'
language:
- iso: eng
page: 465-472
publication: 'Procedia Technology, 3rd International Conference on System-Integrated
Intelligence: New Challenges for Product and Production Engineering'
publication_identifier:
issn:
- 2212-0173
publication_status: published
status: public
title: A comparison of two predictive approaches to control the longitudinal dynamics
of electric vehicles
type: conference
user_id: '15694'
volume: 26
year: '2016'
...
---
_id: '20071'
author:
- first_name: M.
full_name: Dellnitz, M.
last_name: Dellnitz
- first_name: J.
full_name: Eckstein, J.
last_name: Eckstein
- first_name: K.
full_name: Flaßkamp, K.
last_name: Flaßkamp
- first_name: P.
full_name: Friedel, P.
last_name: Friedel
- first_name: C.
full_name: Horenkamp, C.
last_name: Horenkamp
- first_name: U.
full_name: Köhler, U.
last_name: Köhler
- first_name: Sina
full_name: Ober-Blöbaum, Sina
id: '16494'
last_name: Ober-Blöbaum
- first_name: S.
full_name: Peitz, S.
last_name: Peitz
- first_name: S.
full_name: Tiemeyer, S.
last_name: Tiemeyer
citation:
ama: Dellnitz M, Eckstein J, Flaßkamp K, et al. Development of an intelligent cruise
control using optimal control methods . SysInt 2014 Proceedings. 2014;15(0):285-294.
doi:http://dx.doi.org/10.1016/j.protcy.2014.09.082
apa: Dellnitz, M., Eckstein, J., Flaßkamp, K., Friedel, P., Horenkamp, C., Köhler,
U., Ober-Blöbaum, S., Peitz, S., & Tiemeyer, S. (2014). Development of an
intelligent cruise control using optimal control methods . SysInt 2014 Proceedings,
15(0), 285–294. http://dx.doi.org/10.1016/j.protcy.2014.09.082
bibtex: '@article{Dellnitz_Eckstein_Flaßkamp_Friedel_Horenkamp_Köhler_Ober-Blöbaum_Peitz_Tiemeyer_2014,
title={Development of an intelligent cruise control using optimal control methods
}, volume={15}, DOI={http://dx.doi.org/10.1016/j.protcy.2014.09.082},
number={0}, journal={SysInt 2014 Proceedings}, author={Dellnitz, M. and Eckstein,
J. and Flaßkamp, K. and Friedel, P. and Horenkamp, C. and Köhler, U. and Ober-Blöbaum,
Sina and Peitz, S. and Tiemeyer, S.}, year={2014}, pages={285–294} }'
chicago: 'Dellnitz, M., J. Eckstein, K. Flaßkamp, P. Friedel, C. Horenkamp, U. Köhler,
Sina Ober-Blöbaum, S. Peitz, and S. Tiemeyer. “Development of an Intelligent Cruise
Control Using Optimal Control Methods .” SysInt 2014 Proceedings 15, no.
0 (2014): 285–94. http://dx.doi.org/10.1016/j.protcy.2014.09.082.'
ieee: 'M. Dellnitz et al., “Development of an intelligent cruise control
using optimal control methods ,” SysInt 2014 Proceedings, vol. 15, no.
0, pp. 285–294, 2014, doi: http://dx.doi.org/10.1016/j.protcy.2014.09.082.'
mla: Dellnitz, M., et al. “Development of an Intelligent Cruise Control Using Optimal
Control Methods .” SysInt 2014 Proceedings, vol. 15, no. 0, 2014, pp. 285–94,
doi:http://dx.doi.org/10.1016/j.protcy.2014.09.082.
short: M. Dellnitz, J. Eckstein, K. Flaßkamp, P. Friedel, C. Horenkamp, U. Köhler,
S. Ober-Blöbaum, S. Peitz, S. Tiemeyer, SysInt 2014 Proceedings 15 (2014) 285–294.
conference:
location: Bremen, Germany
date_created: 2020-10-15T15:57:11Z
date_updated: 2022-01-21T14:28:52Z
doi: http://dx.doi.org/10.1016/j.protcy.2014.09.082
intvolume: ' 15'
issue: '0'
language:
- iso: eng
page: 285 - 294
publication: SysInt 2014 Proceedings
publication_identifier:
issn:
- 2212-0173
status: public
title: 'Development of an intelligent cruise control using optimal control methods '
type: journal_article
user_id: '15694'
volume: 15
year: '2014'
...