---
_id: '56940'
abstract:
- lang: ger
text: "Ziel dieser Arbeit ist die Entwicklung eines modellbasierten Beobachters
für eingangsaffine, nichtlineare Systeme, der trotz Modellungenauigkeiten eine
hohe Schätzgüte erzielt und zusätzlich eine parametrische, physikalisch interpretierbare
Darstellung dieser ermöglicht. Diese soll zur automatisierten Verbesserung des
Modells verwendet werden. Die vorliegende Arbeit analysiert sowohl Techniken der
hybriden Systemidentifikation wie physikalisch motivierte neuronale Netze, als
auch Methoden zur Kompensation von Modellungenauigkeiten im Beobachterentwurf.
Basierend auf der Analyse wird ein neuartiger, modellbasierter Beobachter entworfen,
der Systemzustände und Modellungenauigkeiten gleichzeitig schätzt und insbesondere
eine parametrische, physikalisch interpretierbare Darstellung der Ungenauigkeiten
erzielt. Diese besteht aus einer Linearkombination von physikalisch interpretierbaren
Funktionen, deren dazugehörige, dünnbesetzt modellierte Parameter mithilfe eines
augmentierten Zustands parallel zu den Systemzuständen geschätzt werden. Das Novum
dieser Arbeit stellt somit die echtzeitfähige Schätzung von Zuständen und Modellungenauigkeiten
in physikalisch-technischer Form dar, auf deren Grundlage ein Konzept zur automatisierten
Modelladaption umgesetzt wird. Die Applikation der neuartigen Methode ist in der
Situation auftretender Systemveränderungen besonders vorteilhaft, da diese zur
Laufzeit durch den augmentierten Beobachter\r\ngeschätzt und identifiziert werden
können. "
- lang: eng
text: "The aim of this thesis is the development of a model-based observer for input-affine,
nonlinear systems that achieves a high estimation quality despite model inaccuracies.
By additionally providing a parametric, physically interpretable representation
of the model inaccuracies, an automated improvement of the model should be enabled.
This thesis\r\nanalyzes techniques of hybrid system identification such as physics-guided
neural networks, as well as methods for compensating model inaccuracies within
the observer design. Based on this analysis, a novel model-based observer is designed,
which estimates states and model inaccuracies jointly and, in particular, obtains
a parametric, physically\r\ninterpretable representation of the inaccuracies.
This consists of a linear combination of physically interpretable functions, whose
associated parameters are modeled sparse and estimated in parallel to the system’s
states using an augmented state. The novelty of this thesis is thus the real-time
capability to jointly estimate states and model inaccuracies in a physical-technical
manner, on the basis of which an automated model adaption can be\r\ncarried out.
The application of the new methodology is particularly advantageous in the situation
of occurring system changes since these can be estimated and identified at run
time by the augmented observer."
author:
- first_name: Ricarda-Samantha
full_name: Götte, Ricarda-Samantha
id: '43992'
last_name: Götte
citation:
ama: Götte R-S. Online-Schätzung von Modellungenauigkeiten zur automatischen
Modelladaption unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit.
Vol 423.; 2024. doi:10.17619/UNIPB/1-2066
apa: Götte, R.-S. (2024). Online-Schätzung von Modellungenauigkeiten zur automatischen
Modelladaption unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit
(Vol. 423). https://doi.org/10.17619/UNIPB/1-2066
bibtex: '@book{Götte_2024, series={Verlagsschriftenreihe des Heinz Nixdorf Instituts},
title={Online-Schätzung von Modellungenauigkeiten zur automatischen Modelladaption
unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit}, volume={423},
DOI={10.17619/UNIPB/1-2066},
author={Götte, Ricarda-Samantha}, year={2024}, collection={Verlagsschriftenreihe
des Heinz Nixdorf Instituts} }'
chicago: Götte, Ricarda-Samantha. Online-Schätzung von Modellungenauigkeiten
zur automatischen Modelladaption unter Beibehaltung einer physikalisch-technischen
Interpretierbarkeit. Vol. 423. Verlagsschriftenreihe des Heinz Nixdorf Instituts,
2024. https://doi.org/10.17619/UNIPB/1-2066.
ieee: R.-S. Götte, Online-Schätzung von Modellungenauigkeiten zur automatischen
Modelladaption unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit,
vol. 423. 2024.
mla: Götte, Ricarda-Samantha. Online-Schätzung von Modellungenauigkeiten zur
automatischen Modelladaption unter Beibehaltung einer physikalisch-technischen
Interpretierbarkeit. 2024, doi:10.17619/UNIPB/1-2066.
short: R.-S. Götte, Online-Schätzung von Modellungenauigkeiten zur automatischen
Modelladaption unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit,
2024.
date_created: 2024-11-07T11:43:05Z
date_updated: 2024-11-07T11:47:59Z
department:
- _id: '880'
- _id: '153'
doi: 10.17619/UNIPB/1-2066
intvolume: ' 423'
keyword:
- state estimation
- joint estimation
- sparsity
language:
- iso: ger
publication_identifier:
isbn:
- 978-3-947647-42-2
publication_status: published
series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts
status: public
supervisor:
- first_name: Julia
full_name: Timmermann, Julia
id: '15402'
last_name: Timmermann
- first_name: Ralf
full_name: Mikut, Ralf
last_name: Mikut
title: Online-Schätzung von Modellungenauigkeiten zur automatischen Modelladaption
unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit
type: dissertation
user_id: '43992'
volume: 423
year: '2024'
...
---
_id: '24159'
abstract:
- lang: eng
text: "The online fitting of a microscopic traffic simulation model to reconstruct
the current state of a real traffic\r\narea can be challenging depending on the
provided data. This paper presents a novel method based on limited\r\ndata from
sensors positioned at specific locations and guarantees a general accordance of
reality and\r\nsimulation in terms of multimodal road traffic counts and vehicle
speeds. In these considerations, the actual\r\npurpose of research is of particular
importance. Here, the research aims at improving the traffic flow by\r\ncontrolling
the Traffic Light Systems (TLS) of the examined area which is why the current
traffic state and\r\nthe route choices of individual road users are the matter
of interest. An integer optimization problem is derived\r\nto fit the current
simulation to the latest field measurements. The concept can be transferred to
any road traffic\r\nnetwork and results in an observation of the current multimodal
traffic state matching at the given sensor\r\nposition. First case studies show
promosing results in terms of deviations between reality and simulation."
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: Sven
full_name: Mertin, Sven
id: '13195'
last_name: Mertin
- 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, Mertin S, Gausemeier S, Trächtler A. Online State Estimation
for Microscopic Traffic Simulations using Multiple Data Sources*. In: VEHITS
2021 Proceedings of the 7th International Conference on Vehicle Technology and
Intelligent Transport Systems. Vol 7. VEHITS 2021 Proceedings of the 7th International
Conference on Vehicle Technology and Intelligent Transport Systems. SCITEPRESS;
2021:386-395.'
apa: Malena, K., Link, C., Mertin, S., Gausemeier, S., & Trächtler, A. (2021).
Online State Estimation for Microscopic Traffic Simulations using Multiple Data
Sources*. VEHITS 2021 Proceedings of the 7th International Conference on Vehicle
Technology and Intelligent Transport Systems, 7, 386–395.
bibtex: '@inproceedings{Malena_Link_Mertin_Gausemeier_Trächtler_2021, place={Portugal},
series={VEHITS 2021 Proceedings of the 7th International Conference on Vehicle
Technology and Intelligent Transport Systems}, title={Online State Estimation
for Microscopic Traffic Simulations using Multiple Data Sources*}, volume={7},
booktitle={VEHITS 2021 Proceedings of the 7th International Conference on Vehicle
Technology and Intelligent Transport Systems}, publisher={SCITEPRESS}, author={Malena,
Kevin and Link, Christopher and Mertin, Sven and Gausemeier, Sandra and Trächtler,
Ansgar}, year={2021}, pages={386–395}, collection={VEHITS 2021 Proceedings of
the 7th International Conference on Vehicle Technology and Intelligent Transport
Systems} }'
chicago: 'Malena, Kevin, Christopher Link, Sven Mertin, Sandra Gausemeier, and Ansgar
Trächtler. “Online State Estimation for Microscopic Traffic Simulations Using
Multiple Data Sources*.” In VEHITS 2021 Proceedings of the 7th International
Conference on Vehicle Technology and Intelligent Transport Systems, 7:386–95.
VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology
and Intelligent Transport Systems. Portugal: SCITEPRESS, 2021.'
ieee: K. Malena, C. Link, S. Mertin, S. Gausemeier, and A. Trächtler, “Online State
Estimation for Microscopic Traffic Simulations using Multiple Data Sources*,”
in VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology
and Intelligent Transport Systems, Online Streaming, 2021, vol. 7, pp. 386–395.
mla: Malena, Kevin, et al. “Online State Estimation for Microscopic Traffic Simulations
Using Multiple Data Sources*.” VEHITS 2021 Proceedings of the 7th International
Conference on Vehicle Technology and Intelligent Transport Systems, vol. 7,
SCITEPRESS, 2021, pp. 386–95.
short: 'K. Malena, C. Link, S. Mertin, S. Gausemeier, A. Trächtler, in: VEHITS 2021
Proceedings of the 7th International Conference on Vehicle Technology and Intelligent
Transport Systems, SCITEPRESS, Portugal, 2021, pp. 386–395.'
conference:
end_date: 2021-04-30
location: Online Streaming
name: 7th International Conference on Vehicle Technology and Intelligent Transport
Systems
start_date: 2021-04-28
date_created: 2021-09-10T12:19:14Z
date_updated: 2026-01-26T08:49:53Z
department:
- _id: '153'
intvolume: ' 7'
keyword:
- Microscopic Traffic Simulation
- Online State Estimation
- Mixed Road Users
- Sensor Fusion
- Integer Programming
- Route Choice
- Vehicle2Infrastructure
language:
- iso: eng
main_file_link:
- url: https://www.scitepress.org/PublicationsDetail.aspx?ID=3xZWfOSENWk=&t=1
page: 386-395
place: Portugal
project:
- _id: '688'
name: Pilotprojekt "Schlosskreuzung"
publication: VEHITS 2021 Proceedings of the 7th International Conference on Vehicle
Technology and Intelligent Transport Systems
publication_identifier:
isbn:
- 978-989-758-513-5
publication_status: published
publisher: SCITEPRESS
quality_controlled: '1'
related_material:
link:
- relation: confirmation
url: https://www.scitepress.org/PublicationsDetail.aspx?ID=3xZWfOSENWk=&t=1
record:
- id: '33849'
relation: is_continued_by
status: public
series_title: VEHITS 2021 Proceedings of the 7th International Conference on Vehicle
Technology and Intelligent Transport Systems
status: public
title: Online State Estimation for Microscopic Traffic Simulations using Multiple
Data Sources*
type: conference
user_id: '36303'
volume: 7
year: '2021'
...