Melanie N. Zeilinger

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 145

Top Venues

CoRR

CDC

ECC

IEEE Control. Syst. Lett.

Publications

Logan Numerow, Andrea Zanelli, Andrea Carron, Melanie N. Zeilinger
Inherently robust suboptimal MPC for autonomous racing with anytime feasible SQP. CoRR (2024)
Antoine P. Leeman, Johannes Köhler, Florian Messerer, Amon Lahr, Moritz Diehl, Melanie N. Zeilinger
Fast System Level Synthesis: Robust Model Predictive Control using Riccati Recursions. CoRR (2024)
Manish Prajapat, Johannes Köhler, Matteo Turchetta, Andreas Krause, Melanie N. Zeilinger
Safe Guaranteed Exploration for Non-linear Systems. CoRR (2024)
Alexandre Didier, Andrea Zanelli, Kim Peter Wabersich, Melanie N. Zeilinger
Predictive stability filters for nonlinear dynamical systems affected by disturbances. CoRR (2024)
Danilo Saccani, Lorenzo Fagiano, Melanie N. Zeilinger, Andrea Carron
Model Predictive Control for Multi-Agent Systems Under Limited Communication and Time-Varying Network Topology. CDC (2023)
Julian D. Schiller, Simon Muntwiler, Johannes Köhler, Melanie N. Zeilinger, Matthias Albrecht Müller
A Lyapunov Function for Robust Stability of Moving Horizon Estimation. IEEE Trans. Autom. Control. 68 (12) (2023)
Antoine P. Leeman, Jerome Sieber, Samir Bennani, Melanie N. Zeilinger
Robust Optimal Control for Nonlinear Systems with Parametric Uncertainties via System Level Synthesis. CoRR (2023)
Henrik Hose, Johannes Köhler, Melanie N. Zeilinger, Sebastian Trimpe
Approximate non-linear model predictive control with safety-augmented neural networks. CoRR (2023)
Andrea Carron, Danilo Saccani, Lorenzo Fagiano, Melanie N. Zeilinger
Multi-agent Distributed Model Predictive Control with Connectivity Constraint. CoRR (2023)
Amon Lahr, Andrea Zanelli, Andrea Carron, Melanie N. Zeilinger
Zero-order optimization for Gaussian process-based model predictive control. Eur. J. Control 74 (2023)
Truong X. Nghiem, Ján Drgona, Colin N. Jones, Zoltán Nagy, Roland Schwan, Biswadip Dey, Ankush Chakrabarty, Stefano Di Cairano, Joel A. Paulson, Andrea Carron, Melanie N. Zeilinger, Wenceslao Shaw-Cortez, Draguna L. Vrabie
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems. ACC (2023)
Kim Peter Wabersich, Melanie N. Zeilinger
Cautious Bayesian MPC: Regret Analysis and Bounds on the Number of Unsafe Learning Episodes. IEEE Trans. Autom. Control. 68 (8) (2023)
Danilo Saccani, Lorenzo Fagiano, Melanie N. Zeilinger, Andrea Carron
Model Predictive Control for Multi-Agent Systems under Limited Communication and Time-Varying Network Topology. CoRR (2023)
Antoine P. Leeman, Jérôme Sieber, Samir Bennani, Melanie N. Zeilinger
Robust Optimal Control for Nonlinear Systems with Parametric Uncertainties via System Level Synthesis. CDC (2023)
Danilo Saccani, Giancarlo Ferrari-Trecate, Melanie N. Zeilinger, Johannes Köhler
Homothetic Tube Model Predictive Control With Multi-Step Predictors. IEEE Control. Syst. Lett. 7 (2023)
Simon Muntwiler, Johannes Köhler, Melanie N. Zeilinger
Nonlinear Functional Estimation: Functional Detectability and Full Information Estimation. CoRR (2023)
Rahel Rickenbach, Johannes Köhler, Anna Scampicchio, Melanie N. Zeilinger, Andrea Carron
Active Learning-based Model Predictive Coverage Control. CoRR (2023)
Alexandre Didier, Robin C. Jacobs, Jerome Sieber, Kim Peter Wabersich, Melanie N. Zeilinger
Approximate Predictive Control Barrier Functions using Neural Networks: A Computationally Cheap and Permissive Safety Filter. ECC (2023)
Rahel Rickenbach, Anna Scampicchio, Melanie N. Zeilinger
Inverse Optimal Control as an Errors-in-Variables Problem. CoRR (2023)
András Sasfi, Melanie N. Zeilinger, Johannes Köhler
Robust adaptive MPC using control contraction metrics. Autom. 155 (2023)
Johannes Köhler, Melanie N. Zeilinger, Lars Grüne
Stability and Performance Analysis of NMPC: Detectable Stage Costs and General Terminal Costs. IEEE Trans. Autom. Control. 68 (10) (2023)
Antoine Leeman, Johannes Köhler, Samir Bennani, Melanie N. Zeilinger
Predictive safety filter using system level synthesis. L4DC (2023)
Simon Muntwiler, Ognjen Stanojev, Andrea Zanelli, Gabriela Hug, Melanie N. Zeilinger
A Stiffness-Oriented Model Order Reduction Method for Low-Inertia Power Systems. CoRR (2023)
Danilo Saccani, Giancarlo Ferrari-Trecate, Melanie N. Zeilinger, Johannes Köhler
Homothetic tube model predictive control with multi-step predictors. CoRR (2023)
Johannes Köhler, Ferdinand Geuss, Melanie N. Zeilinger
On stochastic MPC formulations with closed-loop guarantees: Analysis and a unifying framework. CoRR (2023)
Antoine P. Leeman, Johannes Köhler, Andrea Zanelli, Samir Bennani, Melanie N. Zeilinger
Robust Nonlinear Optimal Control via System Level Synthesis. CoRR (2023)
Abdullah Tokmak, Christian Fiedler, Melanie N. Zeilinger, Sebastian Trimpe, Johannes Köhler
Automatic nonlinear MPC approximation with closed-loop guarantees. CoRR (2023)
Rahel Rickenbach, Elena Arcari, Melanie N. Zeilinger
Time Dependent Inverse Optimal Control using Trigonometric Basis Functions. L4DC (2023)
Simon Muntwiler, Kim Peter Wabersich, Robert Miklos, Melanie N. Zeilinger
LQG for Constrained Linear Systems: Indirect Feedback Stochastic MPC with Kalman Filtering. ECC (2023)
Truong X. Nghiem, Ján Drgona, Colin N. Jones, Zoltán Nagy, Roland Schwan, Biswadip Dey, Ankush Chakrabarty, Stefano Di Cairano, Joel A. Paulson, Andrea Carron, Melanie N. Zeilinger, Wenceslao Shaw-Cortez, Draguna L. Vrabie
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems. CoRR (2023)
Andrea Carron, Sabrina Bodmer, Lukas Vogel, René Zurbrügg, David Helm, Rahel Rickenbach, Simon Muntwiler, Jerome Sieber, Melanie N. Zeilinger
Chronos and CRS: Design of a miniature car-like robot and a software framework for single and multi-agent robotics and control. ICRA (2023)
Elena Arcari, Maria Vittoria Minniti, Anna Scampicchio, Andrea Carron, Farbod Farshidian, Marco Hutter, Melanie N. Zeilinger
Bayesian Multi-Task Learning MPC for Robotic Mobile Manipulation. IEEE Robotics Autom. Lett. 8 (6) (2023)
Rahel Rickenbach, Elena Arcari, Melanie N. Zeilinger
Time Dependent Inverse Optimal Control using Trigonometric Basis Functions. CoRR (2023)
John Irvin Alora, Luis A. Pabon, Johannes Köhler, Mattia Cenedese, Edward Schmerling, Melanie N. Zeilinger, George Haller, Marco Pavone
Robust Nonlinear Reduced-Order Model Predictive Control. CoRR (2023)
Manish Prajapat, Mojmír Mutný, Melanie N. Zeilinger, Andreas Krause
Submodular Reinforcement Learning. CoRR (2023)
Johannes Köhler, Ferdinand Geuss, Melanie N. Zeilinger
On Stochastic MPC Formulations with Closed-Loop Guarantees: Analysis and a Unifying Framework. CDC (2023)
Elena Arcari, Andrea Iannelli, Andrea Carron, Melanie N. Zeilinger
Stochastic MPC With Robustness to Bounded Parameteric Uncertainty. IEEE Trans. Autom. Control. 68 (12) (2023)
Kim Peter Wabersich, Melanie N. Zeilinger
Predictive Control Barrier Functions: Enhanced Safety Mechanisms for Learning-Based Control. IEEE Trans. Autom. Control. 68 (5) (2023)
M. Kanat Camlibel, Martin Guay, Sophie Tarbouriech, Simone Baldi, Timm Faulwasser, Francesco Ferrante, Paolo Rapisarda, Henk J. van Waarde, Melanie N. Zeilinger
Guest Editorial Introduction to the IEEE Control Systems Letters Special Section on Data-Driven Analysis and Control. IEEE Control. Syst. Lett. 7 (2023)
Anna Scampicchio, Elena Arcari, Melanie N. Zeilinger
Error Analysis of Regularized Trigonometric Linear Regression With Unbounded Sampling: A Statistical Learning Viewpoint. IEEE Control. Syst. Lett. 7 (2023)
Simon Muntwiler, Johannes Köhler, Melanie N. Zeilinger
MHE under parametric uncertainty - Robust state estimation without informative data. CoRR (2023)
John Irvin Alora, Luis A. Pabon, Johannes Köhler, Mattia Cenedese, Edward Schmerling, Melanie N. Zeilinger, George Haller, Marco Pavone
Robust Nonlinear Reduced-Order Model Predictive Control. CDC (2023)
Simon Muntwiler, Kim Peter Wabersich, Melanie N. Zeilinger
Learning-based Moving Horizon Estimation through Differentiable Convex Optimization Layers. L4DC (2022)
Alexandre Didier, Jerome Sieber, Melanie N. Zeilinger
A System Level Approach to Regret Optimal Control. CoRR (2022)
Johannes Köhler, Melanie N. Zeilinger
Globally stable and locally optimal model predictive control using a softened initial state constraint - extended version. CoRR (2022)
Julian D. Schiller, Simon Muntwiler, Johannes Köhler, Melanie N. Zeilinger, Matthias A. Müller
A Lyapunov function for robust stability of moving horizon estimation. CoRR (2022)
Simon Muntwiler, Kim Peter Wabersich, Robert Miklos, Melanie N. Zeilinger
LQG for Constrained Linear Systems: Indirect Feedback Stochastic MPC with Kalman Filtering. CoRR (2022)
Johannes Köhler, Melanie N. Zeilinger
Recursively feasible stochastic predictive control using an interpolating initial state constraint - extended version. CoRR (2022)
Alexandre Didier, Jerome Sieber, Melanie N. Zeilinger
A System Level Approach to Regret Optimal Control. IEEE Control. Syst. Lett. 6 (2022)
Lukas P. Fröhlich, Christian Küttel, Elena Arcari, Lukas Hewing, Melanie N. Zeilinger, Andrea Carron
Contextual Tuning of Model Predictive Control for Autonomous Racing. IROS (2022)
Elena Arcari, Maria Vittoria Minniti, Anna Scampicchio, Andrea Carron, Farbod Farshidian, Marco Hutter, Melanie N. Zeilinger
Bayesian Multi-Task Learning MPC for Robotic Mobile Manipulation. CoRR (2022)
Jerome Sieber, Samir Bennani, Melanie N. Zeilinger
A System Level Approach to Tube-Based Model Predictive Control. IEEE Control. Syst. Lett. 6 (2022)
Alexandre Didier, Robin C. Jacobs, Jerome Sieber, Kim Peter Wabersich, Melanie N. Zeilinger
Approximate Predictive Control Barrier Functions using Neural Networks: A Computationally Cheap and Permissive Safety Filter. CoRR (2022)
Johannes Köhler, Kim Peter Wabersich, Julian Berberich, Melanie N. Zeilinger
State space models vs. multi-step predictors in predictive control: Are state space models complicating safe data-driven designs? CDC (2022)
Lukas P. Fröhlich, Maksym Lefarov, Melanie N. Zeilinger, Felix Berkenkamp
On-Policy Model Errors in Reinforcement Learning. ICLR (2022)
Jerome Sieber, Andrea Zanelli, Samir Bennani, Melanie N. Zeilinger
Asynchronous Computation of Tube-based Model Predictive Control. CoRR (2022)
Andrea Carron, Sabrina Bodmer, Lukas Vogel, René Zurbrügg, David Helm, Rahel Rickenbach, Simon Muntwiler, Jerome Sieber, Melanie N. Zeilinger
Chronos and CRS: Design of a miniature car-like robot and a software framework for single and multi-agent robotics and control. CoRR (2022)
Kim Peter Wabersich, Raamadaas Krishnadas, Melanie N. Zeilinger
A Soft Constrained MPC Formulation Enabling Learning From Trajectories With Constraint Violations. IEEE Control. Syst. Lett. 6 (2022)
Jerome Sieber, Andrea Zanelli, Samir Bennani, Melanie N. Zeilinger
System level disturbance reachable sets and their application to tube-based MPC. Eur. J. Control 68 (2022)
David Kiessling, Andrea Zanelli, Armin Nurkanovic, Joris Gillis, Moritz Diehl, Melanie N. Zeilinger, Goele Pipeleers, Jan Swevers
A Feasible Sequential Linear Programming Algorithm with Application to Time-Optimal Path Planning Problems. CDC (2022)
Manish Prajapat, Matteo Turchetta, Melanie N. Zeilinger, Andreas Krause
Near-Optimal Multi-Agent Learning for Safe Coverage Control. CoRR (2022)
Manish Prajapat, Matteo Turchetta, Melanie N. Zeilinger, Andreas Krause
Near-Optimal Multi-Agent Learning for Safe Coverage Control. NeurIPS (2022)
Johannes Köhler, Melanie N. Zeilinger
Recursively Feasible Stochastic Predictive Control Using an Interpolating Initial State Constraint. IEEE Control. Syst. Lett. 6 (2022)
Alexandre Didier, Melanie N. Zeilinger
Generalised Regret Optimal Controller Synthesis for Constrained Systems. CoRR (2022)
Ali Mesbah, Kim Peter Wabersich, Angela P. Schoellig, Melanie N. Zeilinger, Sergio Lucia, Thomas A. Badgwell, Joel A. Paulson
Fusion of Machine Learning and MPC under Uncertainty: What Advances Are on the Horizon? ACC (2022)
Kim Peter Wabersich, Lukas Hewing, Andrea Carron, Melanie N. Zeilinger
Probabilistic Model Predictive Safety Certification for Learning-Based Control. IEEE Trans. Autom. Control. 67 (1) (2022)
Antoine P. Leeman, Johannes Köhler, Samir Bennani, Melanie N. Zeilinger
Predictive safety filter using system level synthesis. CoRR (2022)
András Sasfi, Melanie N. Zeilinger, Johannes Köhler
Robust adaptive MPC using control contraction metrics. CoRR (2022)
Elena Arcari, Andrea Iannelli, Andrea Carron, Melanie N. Zeilinger
Stochastic MPC with robustness to bounded parametric uncertainty. CoRR (2022)
Johannes Köhler, Kim Peter Wabersich, Julian Berberich, Melanie N. Zeilinger
State space models vs. multi-step predictors in predictive control: Are state space models complicating safe data-driven designs? CoRR (2022)
B. Svetozarevic, C. Baumann, Simon Muntwiler, Loris Di Natale, Philipp Heer, Melanie N. Zeilinger
Data-driven MIMO control of room temperature and bidirectional EV charging using deep reinforcement learning: simulation and experiments. CoRR (2021)
Kim Peter Wabersich, Melanie N. Zeilinger
Predictive control barrier functions: Enhanced safety mechanisms for learning-based control. CoRR (2021)
Alexandre Didier, Kim Peter Wabersich, Melanie N. Zeilinger
Adaptive Model Predictive Safety Certification for Learning-based Control - Extended Version. CoRR (2021)
Ali Jadbabaie, John Lygeros, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger
Preface. L4DC (2021)
Marcel Menner, Peter Worsnop, Melanie N. Zeilinger
Constrained Inverse Optimal Control With Application to a Human Manipulation Task. IEEE Trans. Control. Syst. Technol. 29 (2) (2021)
Kiran Kuruvithadam, Marcel Menner, William R. Taylor, Melanie N. Zeilinger, Lennart Stieglitz, Marianne Schmid Daners
Data-Driven Investigation of Gait Patterns in Individuals Affected by Normal Pressure Hydrocephalus. Sensors 21 (19) (2021)
Andrea Carron, Kim Peter Wabersich, Melanie N. Zeilinger
Plug-and-Play Distributed Safety Verification for Linear Control Systems With Bounded Uncertainties. IEEE Trans. Control. Netw. Syst. 8 (3) (2021)
Simon Muntwiler, Kim Peter Wabersich, Lukas Hewing, Melanie N. Zeilinger
Data-Driven Distributed Stochastic Model Predictive Control with Closed-Loop Chance Constraint Satisfaction. ECC (2021)
Alexandre Didier, Kim Peter Wabersich, Melanie N. Zeilinger
Adaptive Model Predictive Safety Certification for Learning-based Control. CDC (2021)
Lukas Hewing, Marcel Menner, Nikolaos Tachatos, Marianne Schmid Daners, Cosima du Pasquier, Thomas S. Lumpe, Kristina Shea, Andrea Carron, Melanie N. Zeilinger
Volume Control of Low-Cost Ventilator with Automatic Set-Point Adaptation. ECC (2021)
Stefan O. Schrade, Marcel Menner, Camila Shirota, Peter Winiger, Alex Stutz, Melanie N. Zeilinger, Olivier Lambercy, Roger Gassert
Knee Compliance Reduces Peak Swing Phase Collision Forces in a Lower-Limb Exoskeleton Leg: A Test Bench Evaluation. IEEE Trans. Biomed. Eng. 68 (2) (2021)
Ben Tearle, Kim Peter Wabersich, Andrea Carron, Melanie N. Zeilinger
A Predictive Safety Filter for Learning-Based Racing Control. IEEE Robotics Autom. Lett. 6 (4) (2021)
Lukas Spannagl, Elias Hampp, Andrea Carron, Jerome Sieber, Carlo Alberto Pascucci, Aldo U. Zgraggen, Alexander Domahidi, Melanie N. Zeilinger
Design, Optimal Guidance and Control of a Low-cost Re-usable Electric Model Rocket. CoRR (2021)
Lukas Spannagl, Elias Hampp, Andrea Carron, Jerome Sieber, Carlo Alberto Pascucci, Aldo U. Zgraggen, Alexander Domahidi, Melanie N. Zeilinger
Design, Optimal Guidance and Control of a Low-cost Re-usable Electric Model Rocket. IROS (2021)
Simon Muntwiler, Kim Peter Wabersich, Melanie N. Zeilinger
Learning-based Moving Horizon Estimation through Differentiable Convex Optimization Layers. CoRR (2021)
Lukas P. Fröhlich, Melanie N. Zeilinger, Edgar D. Klenske
Cautious Bayesian Optimization for Efficient and Scalable Policy Search. L4DC (2021)
Jerome Sieber, Samir Bennani, Melanie N. Zeilinger
A System Level Approach to Robust Model Predictive Control. CoRR (2021)
Andrea Carron, Francesco Seccamonte, Claudio Ruch, Emilio Frazzoli, Melanie N. Zeilinger
Scalable Model Predictive Control for Autonomous Mobility-on-Demand Systems. IEEE Trans. Control. Syst. Technol. 29 (2) (2021)
Kim Peter Wabersich, Melanie N. Zeilinger
A predictive safety filter for learning-based control of constrained nonlinear dynamical systems. Autom. 129 (2021)
Ben Tearle, Kim Peter Wabersich, Andrea Carron, Melanie N. Zeilinger
A predictive safety filter for learning-based racing control. CoRR (2021)
Lukas P. Fröhlich, Christian Küttel, Elena Arcari, Lukas Hewing, Melanie N. Zeilinger, Andrea Carron
Model Learning and Contextual Controller Tuning for Autonomous Racing. CoRR (2021)
Elena Arcari, Anna Scampicchio, Andrea Carron, Melanie N. Zeilinger
Bayesian multi-task learning using finite-dimensional models: A comparative study. CDC (2021)
Johannes Köhler, Melanie N. Zeilinger, Lars Grüne
Stability and performance analysis of NMPC: Detectable stage costs and general terminal costs. CoRR (2021)
Marcel Menner, Karl Berntorp, Melanie N. Zeilinger, Stefano Di Cairano
Inverse Learning for Data-Driven Calibration of Model-Based Statistical Path Planning. IEEE Trans. Intell. Veh. 6 (1) (2021)
Jerome Sieber, Andrea Zanelli, Samir Bennani, Melanie N. Zeilinger
System Level Disturbance Reachable Sets and their Application to Tube-based MPC. CoRR (2021)
Vasileios Lefkopoulos, Marcel Menner, Alexander Domahidi, Melanie N. Zeilinger
Interaction-Aware Motion Prediction for Autonomous Driving: A Multiple Model Kalman Filtering Scheme. IEEE Robotics Autom. Lett. 6 (1) (2021)
Lukas P. Fröhlich, Maksym Lefarov, Melanie N. Zeilinger, Felix Berkenkamp
On-Policy Model Errors in Reinforcement Learning. CoRR (2021)
Lukas Hewing, Elena Arcari, Lukas P. Fröhlich, Melanie N. Zeilinger
On Simulation and Trajectory Prediction with Gaussian Process Dynamics. L4DC (2020)
Elena Arcari, Lukas Hewing, Max Schlichting, Melanie N. Zeilinger
Dual Stochastic MPC for Systems with Parametric and Structural Uncertainty. L4DC (2020)
Marcel Menner, Melanie N. Zeilinger
Maximum Likelihood Methods for Inverse Learning of Optimal Controllers. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Melanie N. Zeilinger