State-space modelling approach for control and observer design in property-controlled reverse flow forming
L. Kersting, B. Arian, J. Rozo Vasquez, A. Trächtler, W. Homberg, F. Walther, IFAC-PapersOnLine 59 (2025) 109–114.

Symplectic Methods in Deep Learning
S. Maslovskaya, S. Ober-Blöbaum, in: IFAC-PapersOnLine, Elsevier BV, 2024, pp. 85–90.

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.

Tool Wear Monitoring of a Tree Log Bandsaw using a Deep Convolutional Neural Network on challenging data
S. Koppert, C. Henke, A. Trächtler, S. Möhringer, IFAC-PapersOnLine 55 (2022) 554–560.

Learning Data-Driven PCHD Models for Control Engineering Applications*
A. Junker, J. Timmermann, A. Trächtler, IFAC-PapersOnLine 55 (2022) 389–394.

Output tracking for a non-minimum phase robotic manipulator
T. Berger, L.J. Lanza, IFAC-PapersOnLine (2021) 178–185.

Exact solution to a special class of nonlinear MPC problems
M. Schulze Darup, M. Klädtke, M. Mönnigmann, IFAC-PapersOnLine 54 (2021) 290–295.

Teaching MPC: Which Way to the Promised Land?
T. Faulwasser, S. Lucia, M. Schulze Darup, M. Mönnigmann, IFAC-PapersOnLine 54 (2021) 238–243.

Encrypted MPC based on ADMM real-time iterations
M.S. Darup, IFAC-PapersOnLine 53 (2021) 3508–3514.

Bifurcation preserving discretisations of optimal control problems
C. Offen, S. Ober-Blöbaum, 54(19) (2021) 334–339.

Encrypted cloud-based MPC for linear systems with input constraints
M. Schulze Darup, A. Redder, D.E. Quevedo, in: IFAC-PapersOnLine, 2018, pp. 535–542.

A Multiobjective MPC Approach for Autonomously Driven Electric Vehicles * *This research was funded by the German Federal Ministry of Education and Research (BMBF) within the Leading-Edge Cluster Intelligent Technical Systems OstWestfalenLippe (it’s OWL).
S. Peitz, K. Schäfer, S. Ober-Blöbaum, J. Eckstein, U. Köhler, M. Dellnitz, IFAC-PapersOnLine (2017) 8674–8679.

A multiobjective MPC approach for autonomously driven electric vehicles
S. Peitz, K. Schäfer, S. Ober-Blöbaum, J. Eckstein, U. Köhler, M. Dellnitz, Proceedings of the 20th World Congress of the International Federation of Automatic Control (IFAC) 50 (2017) 8674–8679.

Inverse Optimal Control Problem: the Sub-Riemannian Case 
F. Jean, S. Maslovskaya, I. Zelenko, IFAC-PapersOnLine (2017) 500–505.