Götte R-S, Timmermann J. Estimating States and Model Uncertainties Jointly by a Sparsity Promoting UKF. In: 12th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2022). Vol 56. ; 2023:85-90. 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

Junker A, Fittkau N, Timmermann J, Trächtler A. Autonomous Golf Putting with Data-Driven and Physics-Based Methods. In: 2022 Sixth IEEE International Conference on Robotic Computing (IRC). IEEE; 2023. doi:10.1109/irc55401.2022.00031
LibreCat: /record/42238
DOI: 10.1109/irc55401.2022.00031

Hesse M, Timmermann J, Trächtler A. Hybrid Optimal Control for Dynamical Systems using Gaussian Process Regression and Unscented Transform<sup>*</sup>. In: 2023 European Control Conference (ECC). IEEE; 2023. doi:10.23919/ecc57647.2023.10178368
LibreCat: /record/48476
DOI: 10.23919/ecc57647.2023.10178368

Götte R-S, Klusmann JN, Timmermann J. Data-driven identification of disturbances using a sliding mode observer. In: Proceedings - 33. Workshop Computational Intelligence: Berlin, 23.-24. November 2023. ; 2023:113-123. doi:10.5445/KSP/1000162754
LibreCat: /record/48482
DOI: 10.5445/KSP/1000162754

Götte R-S, Timmermann J. Approximating a Laplacian Prior for Joint State and Model Estimation within an UKF. In: IFAC-PapersOnLine. Vol 56. ; 2023:869-874.
LibreCat: /record/44326

Junker A, Pape KEF, Timmermann J, Trächtler A. Adaptive Koopman-Based Models for Holistic Controller and Observer Design. IFAC-PapersOnLine. 2023;56(3):625-630. doi:10.1016/j.ifacol.2023.12.094
LibreCat: /record/50070
DOI: 10.1016/j.ifacol.2023.12.094

Junker A, Timmermann J, Trächtler A. 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. doi:10.1109/AIRC56195.2022.9836980
LibreCat: /record/26389
DOI: 10.1109/AIRC56195.2022.9836980

Götte R-S, Timmermann J. 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). ; 2022:67-76. doi:10.1109/AIRC56195.2022.9836982
LibreCat: /record/26539
DOI: 10.1109/AIRC56195.2022.9836982

Schön O, Götte R-S, Timmermann J. 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). Vol 55. ; 2022:19-24. 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

Hesse M, Hunstig M, Timmermann J, Trächtler A. 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). ; 2022:383-394.
LibreCat: /record/29803

Junker A, Fittkau N, Timmermann J, Trächtler A. Autonomes Putten mittels datengetriebener und physikbasierter Methoden. In: Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022. ; 2022:119-124. doi:10.5445/KSP/1000151141
LibreCat: /record/34011
DOI: 10.5445/KSP/1000151141

Junker A, Timmermann J, Trächtler A. Learning Data-Driven PCHD Models for Control Engineering Applications*. IFAC-PapersOnLine. 2022;55(12):389-394. doi:10.1016/j.ifacol.2022.07.343
LibreCat: /record/50071
DOI: 10.1016/j.ifacol.2022.07.343

Lüke C, Timmermann J, Kessler JH, Trächtler A. Intelligente Steuerungen und Regelungen. In: Steigerung Der Intelligenz Mechatronischer Systeme. Vol 1. Springer Vieweg; 2018:153-192.
LibreCat: /record/22984

Hesse M, Timmermann J, Hüllermeier E, Trächtler A. A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart. Procedia Manufacturing. 2018;24:15-20.
LibreCat: /record/22996

Xu K, Timmermann J, Trächtler A. Nonlinear Model Predictive Control with Discrete Mechanics and Optimal Control. In: Proc. Advanced Intelligent Mechatronics (AIM). IEEE; 2017.
LibreCat: /record/23005

Xu K, Timmermann J, Trächtler A. Swing-up of the moving double pendulum on a cart with simulation based LQR-Trees. In: Proc. 20th IFAC World Congress. ; 2017.
LibreCat: /record/23006

Flaßkamp K, Timmermann J, Ober-Blöbaum S, Trächtler A. Control strategies on stable manifolds for energyefficient swing-ups of double pendula. International Journal of Control. 2014;DOI: 10.1080/00207179.2014.893450:1-20.
LibreCat: /record/23110

Timmermann J. Optimale Steuerung und Mehrzieloptimierung von dynamischen Systemen untersucht am Beispiel des Mehrfachpendels.; 2014.
LibreCat: /record/42237

Flaßkamp K, Timmermann J, Ober-Blöbaum S, Dellnitz M, Trächtler A. Optimal Control on Stable Manifolds for a Double Pendulum. In: Proceedings in Applied Mathematics and Mechanics. Vol 12(1). ; 2012:723-724.
LibreCat: /record/23161

Bielawny D, Krüger M, Reinold P, Timmermann J, Trächtler A. Iterative learning of Stochastic Disturbance Profiles Using Bayesian Networks. In: 9th International Conference on Industrial Informatics (INDIN). ; 2011.
LibreCat: /record/23182