| Data-driven model predictive control for trajectory tracking with a robotic arm A Carron, E Arcari, M Wermelinger, L Hewing, M Hutter, MN Zeilinger IEEE Robotics and Automation Letters 4 (4), 3758-3765, 2019 | 209 | 2019 |
| On simulation and trajectory prediction with gaussian process dynamics L Hewing, E Arcari, LP Fröhlich, MN Zeilinger Learning for Dynamics and Control, 424-434, 2020 | 55 | 2020 |
| Contextual tuning of model predictive control for autonomous racing LP Fröhlich, C Küttel, E Arcari, L Hewing, MN Zeilinger, A Carron 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 34* | 2022 |
| Bayesian multi-task learning mpc for robotic mobile manipulation E Arcari, MV Minniti, A Scampicchio, A Carron, F Farshidian, M Hutter, ... IEEE Robotics and Automation Letters 8 (6), 3222-3229, 2023 | 30 | 2023 |
| Dual stochastic MPC for systems with parametric and structural uncertainty E Arcari, L Hewing, M Schlichting, M Zeilinger Learning for Dynamics and Control, 894-903, 2020 | 22 | 2020 |
| Stochastic MPC with robustness to bounded parametric uncertainty E Arcari, A Iannelli, A Carron, MN Zeilinger IEEE Transactions on Automatic Control, 2023 | 20 | 2023 |
| A fast method for real-time chance-constrained decision with application to power systems S Bolognani, E Arcari, F Dörfler IEEE control systems letters 1 (1), 152-157, 2017 | 17 | 2017 |
| Meta learning MPC using finite-dimensional Gaussian process approximations E Arcari, A Carron, MN Zeilinger arXiv preprint arXiv:2008.05984, 2020 | 15 | 2020 |
| An approximate dynamic programming approach for dual stochastic model predictive control E Arcari, L Hewing, MN Zeilinger IFAC-PapersOnLine 53 (2), 8105-8111, 2020 | 15 | 2020 |
| Bayesian multi-task learning using finite-dimensional models: A comparative study E Arcari, A Scampicchio, A Carron, MN Zeilinger 2021 60th IEEE Conference on Decision and Control (CDC), 2218-2225, 2021 | 5 | 2021 |
| Error analysis of regularized trigonometric linear regression with unbounded sampling: a statistical learning viewpoint A Scampicchio, E Arcari, MN Zeilinger IEEE Control Systems Letters, 2023 | 2 | 2023 |
| Gaussian processes for dynamics learning in model predictive control A Scampicchio, E Arcari, A Lahr, MN Zeilinger arXiv preprint arXiv:2502.02310, 2025 | | 2025 |
| Time Dependent Inverse Optimal Control using Trigonometric Basis Functions R Rickenbach, E Arcari, M Zeilinger Learning for Dynamics and Control Conference, 1193-1204, 2023 | | 2023 |
| Stochastic MPC with Robustness to Bounded Parametric Uncertainty-Supplement Code E Arcari, A Iannelli, A Carron, MN Zeilinger | | 2023 |
| Data Efficient Learning for Model Predictive Control E Arcari ETH Zurich, 2023 | | 2023 |
| Bayesian Multi-Task Learning using Finite-Dimensional Models: A Comparative Study-Supplement Code E Arcari, A Scampicchio, MN Zeilinger | | 2021 |
| Dual Stochastic MPC for Systems with Parametric and Structural Uncertainty-Supplement Code E Arcari, L Hewing, M Schlichting, MN Zeilinger | | 2020 |
| An Approximate Dynamic Programming Approach for Dual Stochastic Model Predictive Control-Supplement Code E Arcari, L Hewing, MN Zeilinger | | 2020 |
Melanie ZeilingerAssociate Professor, ETH ZurichEmail verificata su ethz.ch