Train trajectory optimization under parametric uncertainty and robust maximum principle analysis

A. Cunillera; R. Lentink; N. van Oort; R.M.P. Goverde

Train trajectory optimization under parametric uncertainty and robust maximum principle analysis

A. Cunillera^*
, R. Lentink
, N. van Oort
, R.M.P. Goverde

^*Corresponding author for this work

Transport and Planning

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

36 Downloads (Pure)

Abstract

In the paper the observed parameter variations of a single train into the trajectory
optimization problem is incorporated. The computed trajectories should be energyefficient and
robust with respect to the realized parameter configuration. A new approach for modelling the
Train Trajectory Optimization problem under parametric uncertainty in terms of a minimax
optimal control problem with a finite set of observed parameter configurations presented.

Original language	English
Title of host publication	Proceedings of the 8th International Conference on Control and Optimization with Industrial Applications
Editors	Aliev Fikret, Başar Tamer, Abbasov Ali, Mahmudov Nazim, Safarova Nargiz
Publisher	Baku State University
Pages	135-137
Number of pages	3
Volume	1
ISBN (Electronic)	9789952378610
Publication status	Published - 2022
Event	8th International Conference on Control and Optimization with Industrial Applications, 2022 - Baku, Azerbaijan Duration: 24 Aug 2022 → 26 Aug 2022 http://coia-conf.org/en/view/pages/49

Conference

Conference	8th International Conference on Control and Optimization with Industrial Applications, 2022
Abbreviated title	COIA 2022
Country/Territory	Azerbaijan
City	Baku
Period	24/08/22 → 26/08/22
Internet address	http://coia-conf.org/en/view/pages/49

Access to Document

Train Trajectory Optimization under Parametric Uncertainty and Robust Maximum PrincipleFinal published version, 72 KB

Cite this

Cunillera, A., Lentink, R., van Oort, N., & Goverde, R. M. P. (2022). Train trajectory optimization under parametric uncertainty and robust maximum principle analysis. In A. Fikret, B. Tamer, A. Ali, M. Nazim, & S. Nargiz (Eds.), Proceedings of the 8th International Conference on Control and Optimization with Industrial Applications (Vol. 1, pp. 135-137). Baku State University.

Cunillera, A. ; Lentink, R. ; van Oort, N. et al. / Train trajectory optimization under parametric uncertainty and robust maximum principle analysis. Proceedings of the 8th International Conference on Control and Optimization with Industrial Applications. editor / Aliev Fikret ; Başar Tamer ; Abbasov Ali ; Mahmudov Nazim ; Safarova Nargiz. Vol. 1 Baku State University, 2022. pp. 135-137

@inproceedings{cfbfc3aa65184a69a5f61556b93592ad,

title = "Train trajectory optimization under parametric uncertainty and robust maximum principle analysis",

abstract = "In the paper the observed parameter variations of a single train into the trajectory optimization problem is incorporated. The computed trajectories should be energyefficient and robust with respect to the realized parameter configuration. A new approach for modelling the Train Trajectory Optimization problem under parametric uncertainty in terms of a minimax optimal control problem with a finite set of observed parameter configurations presented.",

author = "A. Cunillera and R. Lentink and \{van Oort\}, N. and R.M.P. Goverde",

year = "2022",

language = "English",

volume = "1",

pages = "135--137",

editor = "Aliev Fikret and Ba{\c s}ar Tamer and Abbasov Ali and Mahmudov Nazim and Safarova Nargiz",

booktitle = "Proceedings of the 8th International Conference on Control and Optimization with Industrial Applications",

publisher = "Baku State University",

note = "8th International Conference on Control and Optimization with Industrial Applications, 2022, COIA 2022 ; Conference date: 24-08-2022 Through 26-08-2022",

url = "http://coia-conf.org/en/view/pages/49",

}

Cunillera, A, Lentink, R, van Oort, N & Goverde, RMP 2022, Train trajectory optimization under parametric uncertainty and robust maximum principle analysis. in A Fikret, B Tamer, A Ali, M Nazim & S Nargiz (eds), Proceedings of the 8th International Conference on Control and Optimization with Industrial Applications. vol. 1, Baku State University, pp. 135-137, 8th International Conference on Control and Optimization with Industrial Applications, 2022, Baku, Azerbaijan, 24/08/22.

Train trajectory optimization under parametric uncertainty and robust maximum principle analysis. / Cunillera, A.; Lentink, R.; van Oort, N. et al.
Proceedings of the 8th International Conference on Control and Optimization with Industrial Applications. ed. / Aliev Fikret; Başar Tamer; Abbasov Ali; Mahmudov Nazim; Safarova Nargiz. Vol. 1 Baku State University, 2022. p. 135-137.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Train trajectory optimization under parametric uncertainty and robust maximum principle analysis

AU - Cunillera, A.

AU - Lentink, R.

AU - van Oort, N.

AU - Goverde, R.M.P.

PY - 2022

Y1 - 2022

N2 - In the paper the observed parameter variations of a single train into the trajectory optimization problem is incorporated. The computed trajectories should be energyefficient and robust with respect to the realized parameter configuration. A new approach for modelling the Train Trajectory Optimization problem under parametric uncertainty in terms of a minimax optimal control problem with a finite set of observed parameter configurations presented.

AB - In the paper the observed parameter variations of a single train into the trajectory optimization problem is incorporated. The computed trajectories should be energyefficient and robust with respect to the realized parameter configuration. A new approach for modelling the Train Trajectory Optimization problem under parametric uncertainty in terms of a minimax optimal control problem with a finite set of observed parameter configurations presented.

UR - http://coia-conf.org/en/view/pages/22

M3 - Conference contribution

VL - 1

SP - 135

EP - 137

BT - Proceedings of the 8th International Conference on Control and Optimization with Industrial Applications

A2 - Fikret, Aliev

A2 - Tamer, Başar

A2 - Ali, Abbasov

A2 - Nazim, Mahmudov

A2 - Nargiz, Safarova

PB - Baku State University

T2 - 8th International Conference on Control and Optimization with Industrial Applications, 2022

Y2 - 24 August 2022 through 26 August 2022

ER -

Train trajectory optimization under parametric uncertainty and robust maximum principle analysis

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Cite this