[{"status":"public","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."}],"type":"dissertation","language":[{"iso":"ger"}],"keyword":["state estimation","joint estimation","sparsity"],"department":[{"_id":"880"},{"_id":"153"}],"series_title":"Verlagsschriftenreihe des Heinz Nixdorf Instituts","user_id":"43992","_id":"56940","intvolume":"       423","citation":{"apa":"Götte, R.-S. (2024). <i>Online-Schätzung von Modellungenauigkeiten zur automatischen Modelladaption unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit</i> (Vol. 423). <a href=\"https://doi.org/10.17619/UNIPB/1-2066\">https://doi.org/10.17619/UNIPB/1-2066</a>","mla":"Götte, Ricarda-Samantha. <i>Online-Schätzung von Modellungenauigkeiten zur automatischen Modelladaption unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit</i>. 2024, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-2066\">10.17619/UNIPB/1-2066</a>.","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={<a href=\"https://doi.org/10.17619/UNIPB/1-2066\">10.17619/UNIPB/1-2066</a>}, author={Götte, Ricarda-Samantha}, year={2024}, collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts} }","short":"R.-S. Götte, Online-Schätzung von Modellungenauigkeiten zur automatischen Modelladaption unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit, 2024.","chicago":"Götte, Ricarda-Samantha. <i>Online-Schätzung von Modellungenauigkeiten zur automatischen Modelladaption unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit</i>. Vol. 423. Verlagsschriftenreihe des Heinz Nixdorf Instituts, 2024. <a href=\"https://doi.org/10.17619/UNIPB/1-2066\">https://doi.org/10.17619/UNIPB/1-2066</a>.","ieee":"R.-S. Götte, <i>Online-Schätzung von Modellungenauigkeiten zur automatischen Modelladaption unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit</i>, vol. 423. 2024.","ama":"Götte R-S. <i>Online-Schätzung von Modellungenauigkeiten zur automatischen Modelladaption unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit</i>. Vol 423.; 2024. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-2066\">10.17619/UNIPB/1-2066</a>"},"year":"2024","publication_identifier":{"isbn":["978-3-947647-42-2"]},"publication_status":"published","doi":"10.17619/UNIPB/1-2066","title":"Online-Schätzung von Modellungenauigkeiten zur automatischen Modelladaption unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit","volume":423,"date_created":"2024-11-07T11:43:05Z","supervisor":[{"full_name":"Timmermann, Julia","id":"15402","last_name":"Timmermann","first_name":"Julia"},{"full_name":"Mikut, Ralf","last_name":"Mikut","first_name":"Ralf"}],"author":[{"id":"43992","full_name":"Götte, Ricarda-Samantha","last_name":"Götte","first_name":"Ricarda-Samantha"}],"date_updated":"2024-11-07T11:47:59Z"},{"type":"conference","status":"public","project":[{"_id":"688","name":"Pilotprojekt \"Schlosskreuzung\""}],"_id":"24159","user_id":"36303","series_title":"VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems","department":[{"_id":"153"}],"publication_status":"published","publication_identifier":{"isbn":["978-989-758-513-5"]},"related_material":{"record":[{"status":"public","id":"33849","relation":"is_continued_by"}],"link":[{"relation":"confirmation","url":"https://www.scitepress.org/PublicationsDetail.aspx?ID=3xZWfOSENWk=&t=1"}]},"place":"Portugal","citation":{"chicago":"Malena, Kevin, Christopher Link, Sven Mertin, Sandra Gausemeier, and Ansgar Trächtler. “Online State Estimation for Microscopic Traffic Simulations Using Multiple Data Sources*.” In <i>VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems</i>, 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 <i>VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems</i>, Online Streaming, 2021, vol. 7, pp. 386–395.","ama":"Malena K, Link C, Mertin S, Gausemeier S, Trächtler A. Online State Estimation for Microscopic Traffic Simulations using Multiple Data Sources*. In: <i>VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems</i>. Vol 7. VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems. SCITEPRESS; 2021:386-395.","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} }","mla":"Malena, Kevin, et al. “Online State Estimation for Microscopic Traffic Simulations Using Multiple Data Sources*.” <i>VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems</i>, 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.","apa":"Malena, K., Link, C., Mertin, S., Gausemeier, S., &#38; Trächtler, A. (2021). Online State Estimation for Microscopic Traffic Simulations using Multiple Data Sources*. <i>VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems</i>, <i>7</i>, 386–395."},"page":"386-395","intvolume":"         7","date_updated":"2026-01-26T08:49:53Z","author":[{"first_name":"Kevin","full_name":"Malena, Kevin","id":"36303","orcid":"0000-0003-1183-4679","last_name":"Malena"},{"first_name":"Christopher","id":"38249","full_name":"Link, Christopher","last_name":"Link"},{"first_name":"Sven","id":"13195","full_name":"Mertin, Sven","last_name":"Mertin"},{"first_name":"Sandra","last_name":"Gausemeier","full_name":"Gausemeier, Sandra","id":"17793"},{"last_name":"Trächtler","full_name":"Trächtler, Ansgar","id":"552","first_name":"Ansgar"}],"volume":7,"main_file_link":[{"url":"https://www.scitepress.org/PublicationsDetail.aspx?ID=3xZWfOSENWk=&t=1"}],"conference":{"start_date":"2021-04-28","name":"7th International Conference on Vehicle Technology and Intelligent Transport Systems","location":"Online Streaming","end_date":"2021-04-30"},"publication":"VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems","abstract":[{"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.","lang":"eng"}],"keyword":["Microscopic Traffic Simulation","Online State Estimation","Mixed Road Users","Sensor Fusion","Integer Programming","Route Choice","Vehicle2Infrastructure"],"language":[{"iso":"eng"}],"quality_controlled":"1","year":"2021","publisher":"SCITEPRESS","date_created":"2021-09-10T12:19:14Z","title":"Online State Estimation for Microscopic Traffic Simulations using Multiple Data Sources*"}]