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Junker, Annika, et al. “Autonomous Golf Putting with Data-Driven and Physics-Based Methods.”10.1109/irc55401.2022.00031__2022 Sixth IEEE International Conference on Robotic Computing (IRC), IEEE, 2023, doi:10.1109/irc55401.2022.00031.
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Götte, Ricarda-Samantha, et al. “Data-Driven Identification of Disturbances Using a Sliding Mode Observer.”10.5445/KSP/1000162754__Proceedings - 33. Workshop Computational Intelligence: Berlin, 23.-24. November 2023, 2023, pp. 113–23, doi:10.5445/KSP/1000162754.
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Götte, Ricarda-Samantha, and Julia Timmermann. “Approximating a Laplacian Prior for Joint State and Model Estimation within an UKF.” IFAC-PapersOnLine, vol. 56, no. 2, 2023, pp. 869–74.
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Junker, Annika, et al. “Adaptive Koopman-Based Models for Holistic Controller and Observer Design.”10.1016/j.ifacol.2023.12.094__IFAC-PapersOnLine, vol. 56, no. 3, Elsevier BV, 2023, pp. 625–30, doi:10.1016/j.ifacol.2023.12.094.
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Junker, Annika, et al. “Data-Driven Models for Control Engineering Applications Using the Koopman Operator.”10.1109/AIRC56195.2022.9836980__2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC 2022), pp. 1–9, doi:10.1109/AIRC56195.2022.9836980.
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Götte, Ricarda-Samantha, and Julia Timmermann. “Composed Physics- and Data-Driven System Identification for Non-Autonomous Systems in Control Engineering.”10.1109/AIRC56195.2022.9836982__2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC), 2022, pp. 67–76, doi:10.1109/AIRC56195.2022.9836982.
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Schön, Oliver, et al. “Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems.”https://doi.org/10.1016/j.ifacol.2022.07.282__14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), vol. 55, no. 12, 2022, pp. 19–24, doi:https://doi.org/10.1016/j.ifacol.2022.07.282.
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Hesse, Michael, et al. “Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-Forward Control Design.” Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2022, pp. 383–94.
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Junker, Annika, et al. “Autonomes Putten Mittels Datengetriebener Und Physikbasierter Methoden.”10.5445/KSP/1000151141__Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022, 2022, pp. 119–24, doi:10.5445/KSP/1000151141.
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Junker, Annika, et al. “Learning Data-Driven PCHD Models for Control Engineering Applications*.”10.1016/j.ifacol.2022.07.343__IFAC-PapersOnLine, vol. 55, no. 12, Elsevier BV, 2022, pp. 389–94, doi:10.1016/j.ifacol.2022.07.343.
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