| Nonlinear predictive control for trajectory tracking and path following: An introduction and perspective J Matschek, T Bäthge, T Faulwasser, R Findeisen Handbook of model predictive control, 169-198, 2019 | 53 | 2019 |
| Predictive path-following control: Concept and implementation for an industrial robot T Faulwasser, J Matschek, P Zometa, R Findeisen 2013 IEEE International Conference on Control Applications (CCA), 128-133, 2013 | 36 | 2013 |
| Force feedback and path following using predictive control: Concept and application to a lightweight robot J Matschek, J Bethge, P Zometa, R Findeisen IFAC-PapersOnLine 50 (1), 9827-9832, 2017 | 25 | 2017 |
| Constrained Gaussian process learning for model predictive control J Matschek, A Himmel, K Sundmacher, R Findeisen IFAC-PapersOnLine 53 (2), 971-976, 2020 | 23 | 2020 |
| Learning references with Gaussian processes in model predictive control applied to robot assisted surgery J Matschek, T Gonschorek, M Hanses, N Elkmann, F Ortmeier, ... 2020 European Control Conference (ECC), 362-367, 2020 | 20 | 2020 |
| Multi-mode learning supported model predictive control with guarantees J Bethge, B Morabito, J Matschek, R Findeisen IFAC-PapersOnLine 51 (20), 517-522, 2018 | 20 | 2018 |
| Combined predictive path following and admittance control KJ Kazim, J Bethge, J Matschek, R Findeisen 2018 Annual American Control Conference (ACC), 3153-3158, 2018 | 18 | 2018 |
| Towards nominal stability certification of deep learning-based controllers HH Nguyen, J Matschek, T Zieger, A Savchenko, N Noroozi, R Findeisen 2020 American Control Conference (ACC), 3886-3891, 2020 | 11 | 2020 |
| Hierarchical model predictive control for autonomous vehicle area coverage M Ibrahim, J Matschek, B Morabito, R Findeisen IFAC-PapersOnLine 52 (12), 79-84, 2019 | 11 | 2019 |
| Direct force feedback using gaussian process based model predictive control J Matschek, R Jordanowa, R Findeisen 2020 IEEE Conference on Control Technology and Applications (CCTA), 8-13, 2020 | 9 | 2020 |
| Learning supported model predictive control for tracking of periodic references J Matschek, R Findeisen Learning for Dynamics and Control, 511-520, 2020 | 9 | 2020 |
| Improved area covering in dynamic environments by nonlinear model predictive path following control M Ibrahim, J Matschek, B Morabito, R Findeisen IFAC-PapersOnLine 52 (15), 418-423, 2019 | 9 | 2019 |
| Towards risk-aware machine learning supported model predictive control and open-loop optimization for repetitive processes B Morabito, J Pohlodek, J Matschek, A Savchenko, L Carius, R Findeisen IFAC-PapersOnLine 54 (6), 321-328, 2021 | 7 | 2021 |
| Machine learning for control of (bio) chemical manufacturing systems A Himmel, J Matschek, R Kok, B Morabito, HH Nguyen, R Findeisen Artificial Intelligence in Manufacturing, 181-240, 2024 | 6* | 2024 |
| Mathematical 3D modelling and sensitivity analysis of multipolar radiofrequency ablation in the spine J Matschek, E Bullinger, F von Haeseler, M Skalej, R Findeisen Mathematical biosciences 284, 51-60, 2017 | 6 | 2017 |
| Mathematical modelling and sensitivity analysis of multipolar radiofrequency ablation in the spine J Matschek, A Himmel, F von Haeseler, E Bullinger, M Skalej, R Findeisen IFAC-PapersOnLine 48 (20), 243-248, 2015 | 6 | 2015 |
| Safe Machine-Learning-Supported Model Predictive Force and Motion Control in Robotics J Matschek, J Bethge, R Findeisen IEEE Transactions on Control Systems Technology, 2023 | 3 | 2023 |
| Learning secure corridors for model predictive path following control of autonomous systems in cluttered environments P Holzmann, J Matschek, M Pfefferkorn, R Findeisen 2022 European Control Conference (ECC), 1772-1777, 2022 | 3 | 2022 |
| Constrained reference learning for continuous-time model predictive tracking control of autonomous systems J Matschek, J Bethge, M Soliman, B Elsayed, R Findeisen IFAC-PapersOnLine 54 (6), 329-334, 2021 | 3 | 2021 |
| Learning-supported and force feedback model predictive control in robotics J Matschek | 3 | 2021 |
