To path indicator Subpages of “About us“ To navigation To quick access To footer with other services
To content
Logo of the Control and Cyberphysical Systems Group
Department of Mechanical Engineering
Illustration of Network © MH ​/​ stock.adobe.com
Research Assistant

Manuel Klädtke M.Sc.

Email: manuel.klaedtketu-dortmundde

Room: Maschinenbaugebäude 2, Raum 3xx

Zoom: tu-dortmund.zoom.us/my/manuel.klaedtke

Picture of Manuel Klädtke © RCS​/​MK

Research interests

  • data-driven predictive control (efficient and explicit realizations for linear systems)
  • predictive control for nonlinear systems (convex reformulations for optimal control problems)

Teaching activities

Regelungstechnik (Übung)

all courses

Further information

04 | 2021 - today: Research assistant in the Control and Cyberphysical Sys­tems Group, Department of Mechanical Engineering, TU Dort­mund Uni­ver­sity

06 | 2020 - 03 | 2021: Student Assistant in the Automatic Control Group and at LEA Power Electronics and Electrical Drives, Department of Electrical Engineering, Pa­der­born Uni­ver­sity

10 | 2019 – 03 | 2021: Studies of Electrical Engineering (M. Sc. 03 | 2021) at Pa­der­born Uni­ver­sity

05 | 2019 - 04 | 2020: Working Student at Phoenix Contact Electronics GmbH, Bad Pyrmont

04 | 2018 - 07 | 2018: Internship at Phoenix Contact Electronics GmbH, Bad Pyrmont

04 | 2017 - 06 | 2017: Student Assistant at LEA Power Electronics and Electrical Drives, Department of Electrical Engineering, Pa­der­born Uni­ver­sity

10 | 2015 – 03 | 2019: Studies of Electrical Engineering (B. Sc. 03 | 2019) at Pa­der­born Uni­ver­sity

[J] M. Klädtke and M. Schulze Darup. Implicit predictors in regularized data-driven predictive control, IEEE Control Systems Letters, vol. 7, pp. 2479-2484, 2023. DOI: 10.1007/LCSYS.2023.3285104, Reprint: arXiv:2307.10750

M. Klädtke and M. Schulze Darup. Convex NMPC reformulations for a special class of nonlinear multi-input systems with application to rank-one bilinear networks, 22nd IFAC World Congress, 2023. Preprint: arXiv.2304.08147

M. Klädtke, D. Teichrib, N. Schlüter, and M. Schulze Darup. A deterministic view on explicit data-driven (M)PC, 61st IEEE Conference on Decision and Control (CDC), 499-504, 2022. DOI: 10.1109/CDC51059.2022.9993384

M. Klädtke, D. Teichrib, N. Schlüter, and M. Schulze Darup. A note on explicit data-driven (M)PC, Extended Abstracts presented at the 25th International Symposium on Mathematical Theory of Networks and Systems MTNS 2022, 767-770, 2022. DOI: 10.15495/EPub_UBT_00006809

M. Klädtke and M. Schulze Darup. Convex reformulations for a special class of nonlinear MPC problems, 2022 European Control Conference (ECC), 761-768, 2022. DOI: 10.23919/ECC55457.2022.9838061

M. Schulze Darup, M. Klädtke, and M. Mönnigmann. Exact solution to a special class of nonlinear MPC problems, in Proc. of the 7th IFAC Conference on Nonlinear Model Predictive Control (NMPC), pp. 294-299, 2021. DOI: 10.1016/j.ifacol.2021.08.559

To top of page