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16 Publications
2024 | Dissertation | LibreCat-ID: 56940
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.
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2024 | Dissertation | LibreCat-ID: 58164 | 
Junker, Annika. Datengetriebene Modellbildung für nichtlineare mechatronische Systeme in regelungstechnisch verwertbarer Form. Vol. Band 428. Verlagsschriftenreihe des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, 2024. https://doi.org/10.17619/UNIPB/1-2158.
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2024 | Dissertation | LibreCat-ID: 58448 |
Hesse, Michael. Interaktive Inbetriebnahme von Steuerungen und Regelungen für partiell bekannte dynamische Systeme mittels Gauß-Prozess-Regression. Vol. 426. Verlagsschriftenreihe des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, 2024. https://doi.org/10.17619/UNIPB/1-2135.
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2024 | Journal Article | LibreCat-ID: 57893 |
Junker, Annika, Julia Timmermann, and Ansgar Trächtler. “Adaptive Data‐Driven Models in Port‐Hamiltonian Form for Control Design.” PAMM 25, no. 1 (2024). https://doi.org/10.1002/pamm.202400154.
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2023 | Conference Paper | LibreCat-ID: 34171
Götte, Ricarda-Samantha, and Julia Timmermann. “Estimating States and Model Uncertainties Jointly by a Sparsity Promoting UKF.” In 12th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2022), 56:85–90, 2023. https://doi.org/10.1016/j.ifacol.2023.02.015.
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2023 | Conference Paper | LibreCat-ID: 44326
Götte, Ricarda-Samantha, and Julia Timmermann. “Approximating a Laplacian Prior for Joint State and Model Estimation within an UKF.” In IFAC-PapersOnLine, 56:869–74, 2023.
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2023 | Conference Paper | LibreCat-ID: 48482 |
Götte, Ricarda-Samantha, Jo Noel Klusmann, and Julia Timmermann. “Data-Driven Identification of Disturbances Using a Sliding Mode Observer.” In Proceedings - 33. Workshop Computational Intelligence: Berlin, 23.-24. November 2023, 113–23, 2023. https://doi.org/10.5445/KSP/1000162754.
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2023 | Conference Paper | LibreCat-ID: 48476
Hesse, Michael, Julia Timmermann, and Ansgar Trächtler. “Hybrid Optimal Control for Dynamical Systems Using Gaussian Process Regression and Unscented Transform*.” In 2023 European Control Conference (ECC). IEEE, 2023. https://doi.org/10.23919/ecc57647.2023.10178368.
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2023 | Conference Paper | LibreCat-ID: 42238 |
Junker, Annika, Niklas Fittkau, Julia Timmermann, and Ansgar Trächtler. “Autonomous Golf Putting with Data-Driven and Physics-Based Methods.” In 2022 Sixth IEEE International Conference on Robotic Computing (IRC). IEEE, 2023. https://doi.org/10.1109/irc55401.2022.00031.
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2023 | Journal Article | LibreCat-ID: 50070 |
Junker, Annika, Keno Egon Friedrich Pape, Julia Timmermann, and Ansgar Trächtler. “Adaptive Koopman-Based Models for Holistic Controller and Observer Design.” IFAC-PapersOnLine 56, no. 3 (2023): 625–30. https://doi.org/10.1016/j.ifacol.2023.12.094.
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2022 | Conference Paper | LibreCat-ID: 26539 |
Götte, Ricarda-Samantha, and Julia Timmermann. “Composed Physics- and Data-Driven System Identification for Non-Autonomous Systems in Control Engineering.” In 2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC), 67–76, 2022. https://doi.org/10.1109/AIRC56195.2022.9836982.
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2022 | Conference Paper | LibreCat-ID: 31066
Schön, Oliver, Ricarda-Samantha Götte, and Julia Timmermann. “Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems.” In 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), 55:19–24, 2022. https://doi.org/10.1016/j.ifacol.2022.07.282.
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2022 | Conference Paper | LibreCat-ID: 29803
Hesse, Michael, Matthias Hunstig, Julia Timmermann, and Ansgar Trächtler. “Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-Forward Control Design.” In Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM), 383–94, 2022.
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2022 | Conference Paper | LibreCat-ID: 26389 |
Junker, Annika, Julia Timmermann, and Ansgar Trächtler. “Data-Driven Models for Control Engineering Applications Using the Koopman Operator.” In 2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC 2022), 1–9, 2022. https://doi.org/10.1109/AIRC56195.2022.9836980.
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2022 | Journal Article | LibreCat-ID: 50071 |
Junker, Annika, Julia Timmermann, and Ansgar Trächtler. “Learning Data-Driven PCHD Models for Control Engineering Applications*.” IFAC-PapersOnLine 55, no. 12 (2022): 389–94. https://doi.org/10.1016/j.ifacol.2022.07.343.
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2022 | Conference Paper | LibreCat-ID: 34011 |
Junker, Annika, Niklas Fittkau, Julia Timmermann, and Ansgar Trächtler. “Autonomes Putten Mittels Datengetriebener Und Physikbasierter Methoden.” In Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022, 119–24, 2022. https://doi.org/10.5445/KSP/1000151141.
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