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.
LibreCat: /record/34171
DOI: https://doi.org/10.1016/j.ifacol.2023.02.015

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

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

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.
LibreCat: /record/48482
DOI: 10.5445/KSP/1000162754

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.
LibreCat: /record/44326

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

Data-Driven Models for Control Engineering Applications Using the Koopman Operator
A. Junker, J. Timmermann, A. Trächtler, in: 2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC 2022), n.d., pp. 1–9.
LibreCat: /record/26389
DOI: 10.1109/AIRC56195.2022.9836980

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.
LibreCat: /record/26539
DOI: 10.1109/AIRC56195.2022.9836982

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.
LibreCat: /record/31066
DOI: https://doi.org/10.1016/j.ifacol.2022.07.282

Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design
M. Hesse, M. Hunstig, J. Timmermann, A. Trächtler, in: Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2022, pp. 383–394.
LibreCat: /record/29803

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

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

Intelligente Steuerungen und Regelungen
C. Lüke, J. Timmermann, J.H. Kessler, A. Trächtler, in: Steigerung Der Intelligenz Mechatronischer Systeme, Springer Vieweg, 2018, pp. 153–192.
LibreCat: /record/22984

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

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

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

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

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

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

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