R.-S. Götte and J. Timmermann, “Estimating States and Model Uncertainties Jointly by a Sparsity Promoting UKF,”https://doi.org/10.1016/j.ifacol.2023.02.015__in 12th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2022), Canberra, Australien, 2023, vol. 56, no. 1, pp. 85–90, doi:https://doi.org/10.1016/j.ifacol.2023.02.015 .
LibreCat: /record/34171
DOI: https://doi.org/10.1016/j.ifacol.2023.02.015

R.-S. Götte, J. N. Klusmann, and J. Timmermann, “Data-driven identification of disturbances using a sliding mode observer,”10.5445/KSP/1000162754__in Proceedings - 33. Workshop Computational Intelligence: Berlin, 23.-24. November 2023, Berlin, Germany, 2023, pp. 113–123, doi:10.5445/KSP/1000162754 .
LibreCat: /record/48482
DOI: 10.5445/KSP/1000162754

R.-S. Götte and J. Timmermann, “Approximating a Laplacian Prior for Joint State and Model Estimation within an UKF,” in IFAC-PapersOnLine, Yokohama, Japan, 2023, vol. 56, no. 2, pp. 869–874.
LibreCat: /record/44326

R.-S. Götte and J. Timmermann, “Composed Physics- and Data-driven System Identification for Non-autonomous Systems in Control Engineering,”10.1109/AIRC56195.2022.9836982__in 2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC), Cairo, Egypt, 2022, pp. 67–76, doi:10.1109/AIRC56195.2022.9836982 .
LibreCat: /record/26539
DOI: 10.1109/AIRC56195.2022.9836982

O. Schön, R.-S. Götte, and J. Timmermann, “Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems,”https://doi.org/10.1016/j.ifacol.2022.07.282__in 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), Casablanca, Morocco, 2022, vol. 55, no. 12, pp. 19–24, doi:https://doi.org/10.1016/j.ifacol.2022.07.282 .
LibreCat: /record/31066
DOI: https://doi.org/10.1016/j.ifacol.2022.07.282