Online-Schätzung von Modellungenauigkeiten zur automatischen Modelladaption unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit
R.-S. Götte, Online-Schätzung von Modellungenauigkeiten zur automatischen Modelladaption unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit, 2024.

Online Learning With Joint State and Model Estimation
R.-S. Götte, J. Timmermann, PAMM 25 (2024).

Estimating States and Model Uncertainties Jointly by a Sparsity Promoting UKF
R.-S. Götte, J. Timmermann, in: 12th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2022), 2023, pp. 85–90.

Approximating a Laplacian Prior for Joint State and Model Estimation within an UKF
R.-S. Götte, J. Timmermann, in: IFAC-PapersOnLine, 2023, pp. 869–874.

Data-driven identification of disturbances using a sliding mode observer
R.-S. Götte, J.N. Klusmann, J. Timmermann, in: Proceedings - 33. Workshop Computational Intelligence: Berlin, 23.-24. November 2023, 2023, pp. 113–123.

Composed Physics- and Data-driven System Identification for Non-autonomous Systems in Control Engineering
R.-S. Götte, J. Timmermann, in: 2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC), 2022, pp. 67–76.

Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems
O. Schön, R.-S. Götte, J. Timmermann, in: 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), 2022, pp. 19–24.