Control strategies on stable manifolds for energy-efficient swing-ups of double pendula. - Kathrin Flaßkamp; Julia Timmermann; Sina Ober-Blöbaum; Ansgar Trächtler (Int. J. Control, 2014)

Nonlinear Model Predictive Control with Discrete Mechanics and Optimal Control. - Ke Xu; Julia Timmermann; Ansgar Trächtler (AIM, 2017)

Data-Driven Models for Control Engineering Applications Using the Koopman Operator. - Annika Junker; Julia Timmermann; Ansgar Trächtler (CoRR, 2021)

Composed Physics- and Data-driven System Identification for Non-autonomous Systems in Control Engineering. - Ricarda-Samantha Götte; Julia Timmermann (CoRR, 2021)

Batch Constrained Bayesian Optimization for Ultrasonic Wire Bonding Feed-forward Control Design. - Michael Hesse; Matthias Hunstig; Julia Timmermann; Ansgar Trächtler (ICPRAM, 2022)

Autonomous Golf Putting with Data-Driven and Physics-Based Methods. - Annika Junker; Niklas Fittkau; Julia Timmermann; Ansgar Trächtler (IRC, 2022)

Learning Data-Driven PCHD Models for Control Engineering Applications. - Annika Junker; Julia Timmermann; Ansgar Trächtler (CoRR, 2022)

Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems. - Oliver Schön; Ricarda-Samantha Götte; Julia Timmermann (CoRR, 2022)

Estimating States and Model Uncertainties Jointly by a Sparsity Promoting UKF. - Ricarda-Samantha Götte; Julia Timmermann (CoRR, 2022)

Holistic Adaptive Controller and Observer Design Using the Koopman Operator. - Annika Junker; Keno Pape; Julia Timmermann; Ansgar Trächtler (CoRR, 2022)

Approximating a Laplacian Prior for Joint State and Model Estimation within an UKF. - Ricarda-Samantha Götte; Julia Timmermann (CoRR, 2022)

Hybrid Optimal Control for Dynamical Systems using Gaussian Process Regression and Unscented Transform*. - Michael Hesse; Julia Timmermann; Ansgar Trächtler (ECC, 2023)