Melanie N. Zeilinger

225 papers A* 5A 5C 3Journal 170Unranked 40
YearRankTypeTitle / Venue / Authors
2026 J jnl
A multiobjective approach to robust predictive control barrier functions for discrete-time systems.
Autom.
Alexandre Didier, Melanie N. Zeilinger
2026 J jnl
Distributed Predictive Control Barrier Functions: Towards Scalable Safety Certification in Modular Multi-Agent Systems.
CoRR
Jonas Ohnemus, Alexandre Didier, Ahmed Aboudonia, Andrea Carron, Melanie N. Zeilinger
2026 J jnl
Optimal uncertainty bounds for multivariate kernel regression under bounded noise: A Gaussian process-based dual function.
CoRR
Amon Lahr, Anna Scampicchio, Johannes Köhler, Melanie N. Zeilinger
2026 J jnl
Optimistic Online LQR via Intrinsic Rewards.
CoRR
Marcell Bartos, Bruce D. Lee, Lenart Treven, Andreas Krause, Florian Dörfler, Melanie N. Zeilinger
2026 J jnl
Real-Time Online Learning for Model Predictive Control using a Spatio-Temporal Gaussian Process Approximation.
CoRR
Lars Bartels, Amon Lahr, Andrea Carron, Melanie N. Zeilinger
2025 J jnl
A multiobjective approach to robust predictive control barrier functions for discrete-time systems.
CoRR
Alexandre Didier, Melanie N. Zeilinger
2025 J jnl
A robust and adaptive MPC formulation for Gaussian process models.
CoRR
Mathieu Dubied, Amon Lahr, Melanie N. Zeilinger, Johannes Köhler
2025 J jnl
Approximate Nonlinear Model Predictive Control With Safety-Augmented Neural Networks.
IEEE Trans. Control. Syst. Technol.
Henrik Hose, Johannes Köhler, Melanie N. Zeilinger, Sebastian Trimpe
2025 J jnl
Automatic Nonlinear MPC Approximation With Closed-Loop Guarantees.
IEEE Trans. Autom. Control.
Abdullah Tokmak, Christian Fiedler, Melanie N. Zeilinger, Sebastian Trimpe, Johannes Köhler
2025 J jnl
Computationally efficient system level tube-MPC for uncertain systems.
Autom.
Jerome Sieber, Alexandre Didier, Melanie N. Zeilinger
2025 J jnl
DEMONSTRATE: Zero-shot Language to Robotic Control via Multi-task Demonstration Learning.
CoRR
Rahel Rickenbach, Bruce Lee, René Zurbrügg, Carmen Amo Alonso, Melanie N. Zeilinger
2025 J jnl
Design Principles for Sequence Models via Coefficient Dynamics.
CoRR
Jerome Sieber, Antonio Orvieto, Melanie N. Zeilinger, Carmen Amo Alonso
2025 J jnl
Finite-Sample-Based Reachability for Safe Control with Gaussian Process Dynamics.
CoRR
Manish Prajapat, Johannes Köhler, Amon Lahr, Andreas Krause, Melanie N. Zeilinger
2025 J jnl
Gaussian processes for dynamics learning in model predictive control.
Annu. Rev. Control.
Anna Scampicchio, Elena Arcari, Amon Lahr, Melanie N. Zeilinger
2025 J jnl
Gaussian processes for dynamics learning in model predictive control.
CoRR
Anna Scampicchio, Elena Arcari, Amon Lahr, Melanie N. Zeilinger
2025 J jnl
Guaranteed Robust Nonlinear MPC via Disturbance Feedback.
CoRR
Antoine P. Leeman, Johannes Köhler, Melanie N. Zeilinger
2025 J jnl
Inverse Optimal Control With Constraint Relaxation.
IEEE Control. Syst. Lett.
Rahel Rickenbach, Amon Lahr, Melanie N. Zeilinger
2025 J jnl
Inverse Optimal Control with Constraint Relaxation.
CoRR
Rahel Rickenbach, Amon Lahr, Melanie N. Zeilinger
2025 J jnl
Learning-based Approximate Model Predictive Control for an Impact Wrench Tool.
CoRR
Mark Benazet, Francesco Ricca, Dario Bralla, Melanie N. Zeilinger, Andrea Carron
2025 J jnl
Model Predictive Control with Reference Learning for Soft Robotic Intracranial Pressure Waveform Modulation.
CoRR
Fabian Flürenbrock, Yanick Büchel, Johannes Köhler, Marianne Schmid Daners, Melanie N. Zeilinger
2025 — conf
Moving Horizon Estimation for Simultaneous Localization and Mapping with Robust Estimation Error Bounds.
ECC
Jelena Trisovic, Alexandre Didier, Simon Muntwiler, Melanie N. Zeilinger
2025 J jnl
Nonlinear functional estimation: Functional detectability and full information estimation.
Autom.
Simon Muntwiler, Johannes Köhler, Melanie N. Zeilinger
2025 J jnl
Optimal kernel regression bounds under energy-bounded noise.
CoRR
Amon Lahr, Johannes Köhler, Anna Scampicchio, Melanie N. Zeilinger
2025 J jnl
Performance-Driven Constrained Optimal Auto-Tuner for MPC.
IEEE Robotics Autom. Lett.
Albert Gassol Puigjaner, Manish Prajapat, Andrea Carron, Andreas Krause, Melanie N. Zeilinger
2025 J jnl
Performance-driven Constrained Optimal Auto-Tuner for MPC.
CoRR
Albert Gassol Puigjaner, Manish Prajapat, Andrea Carron, Andreas Krause, Melanie N. Zeilinger
2025 J jnl
Physics-informed learning under mixing: How physical knowledge speeds up learning.
CoRR
Anna Scampicchio, Leonardo F. Toso, Rahel Rickenbach, James Anderson, Melanie N. Zeilinger
2025 J jnl
Predictive Control for Nonlinear Stochastic Systems: Closed-Loop Guarantees With Unbounded Noise.
IEEE Trans. Autom. Control.
Johannes Köhler, Melanie N. Zeilinger
2025 J jnl
Robust Nonlinear Optimal Control via System Level Synthesis.
IEEE Trans. Autom. Control.
Antoine P. Leeman, Johannes Köhler, Andrea Zanelli, Samir Bennani, Melanie N. Zeilinger
2025 J jnl
Robust reduced-order model predictive control using peak-to-peak analysis of filtered signals.
CoRR
Johannes Köhler, Carlo Scholz, Melanie N. Zeilinger
2025 J jnl
Safe Guaranteed Dynamics Exploration with Probabilistic Models.
CoRR
Manish Prajapat, Johannes Köhler, Melanie N. Zeilinger, Andreas Krause
2025 J jnl
Safe Guaranteed Exploration for Nonlinear Systems.
IEEE Trans. Autom. Control.
Manish Prajapat, Johannes Köhler, Matteo Turchetta, Andreas Krause, Melanie N. Zeilinger
2025 J jnl
Stability of Certainty-Equivalent Adaptive LQR for Linear Systems with Unknown Time-Varying Parameters.
CoRR
Marcell Bartos, Johannes Köhler, Florian Dörfler, Melanie N. Zeilinger
2025 C conf
State Space Models as Foundation Models: A Control Theoretic Overview.
ACC
Carmen Amo Alonso, Jerome Sieber, Melanie N. Zeilinger
2025 J jnl
Statistically Consistent Approximate Model Predictive Control.
CoRR
Elias Milios, Kim Peter Wabersich, Felix Berkel, Felix Gruber, Melanie N. Zeilinger
2025 J jnl
Statistically Consistent Approximate Model Predictive Control.
IEEE Control. Syst. Lett.
Elias Milios, Kim Peter Wabersich, Felix Berkel, Felix Gruber, Melanie N. Zeilinger
2025 J jnl
Stochastic MPC with Online-optimized Policies and Closed-loop Guarantees.
CoRR
Marcell Bartos, Alexandre Didier, Jerome Sieber, Johannes Köhler, Melanie N. Zeilinger
2025 J jnl
Task-Level Insights from Eigenvalues across Sequence Models.
CoRR
Rahel Rickenbach, Jelena Trisovic, Alexandre Didier, Jerome Sieber, Melanie N. Zeilinger
2025 J jnl
Time-Varying Coverage Control: A Distributed Tracker-Planner MPC Framework.
CoRR
Patrick Benito Eberhard, Johannes Köhler, Oliver Hüsser, Melanie N. Zeilinger, Andrea Carron
2025 J jnl
Uncertainty-Aware Perception-Based Control for Autonomous Racing.
CoRR
Jelena Trisovic, Andrea Carron, Melanie N. Zeilinger
2025 J jnl
Unifying Sequential Quadratic Programming and Linear-Parameter-Varying Algorithms for Real-Time Model Predictive Control.
CoRR
Kristóf Floch, Amon Lahr, Roland Tóth, Melanie N. Zeilinger
2025 J jnl
ZipMPC: Compressed Context-Dependent MPC Cost via Imitation Learning.
CoRR
Rahel Rickenbach, Alan A. Lahoud, Erik Schaffernicht, Melanie N. Zeilinger, Johannes A. Stork
2025 — conf
Zone Model Predictive Control with Active Learning and Application to Cerebrospinal Fluid Dynamics.
CDC
Fabian Flürenbrock, Johannes Köhler, Marianne Schmid Daners, Melanie N. Zeilinger
2024 J jnl
A Soft Robotic Actuator System for In Vivo Modeling of Normal Pressure Hydrocephalus.
IEEE Trans. Biomed. Eng.
Fabian Flürenbrock, Luca Rosalia, Anthony Podgorsak, Katherina Sapozhnikov, Nina Eva Trimmel, Miriam Weisskopf, Markus Florian Oertel, Ellen T. Roche, Melanie N. Zeilinger, Leonie Korn, Marianne Schmid Daners
2024 J jnl
Active Learning-Based Model Predictive Coverage Control.
IEEE Trans. Autom. Control.
Rahel Rickenbach, Johannes Köhler, Anna Scampicchio, Melanie N. Zeilinger, Andrea Carron
2024 — conf
Adaptive Economic Model Predictive Control for linear systems with performance guarantees.
CDC
Maximilian Degner, Raffaele Soloperto, Melanie N. Zeilinger, John Lygeros, Johannes Köhler
2024 J jnl
Adaptive Economic Model Predictive Control for linear systems with performance guarantees.
CoRR
Maximilian Degner, Raffaele Soloperto, Melanie N. Zeilinger, John Lygeros, Johannes Köhler
2024 J jnl
Adaptive Economic Model Predictive Control: Performance Guarantees for Nonlinear Systems.
CoRR
Maximilian Degner, Raffaele Soloperto, Melanie N. Zeilinger, John Lygeros, Johannes Köhler
2024 J jnl
Approximate predictive control barrier function for discrete-time systems.
CoRR
Alexandre Didier, Melanie N. Zeilinger
2024 J jnl
Computationally Efficient System Level Tube-MPC for Uncertain Systems.
CoRR
Jerome Sieber, Alexandre Didier, Melanie N. Zeilinger
2024 J jnl
Data-driven control of input-affine systems: the role of the signature transform.
CoRR
Anna Scampicchio, Melanie N. Zeilinger
2024 — conf
Efficient Zero-Order Robust Optimization for Real-Time Model Predictive Control with acados.
ECC
Jonathan Frey, Yunfan Gao, Florian Messerer, Amon Lahr, Melanie N. Zeilinger, Moritz Diehl
2024 J jnl
Fast System Level Synthesis: Robust Model Predictive Control using Riccati Recursions.
CoRR
Antoine P. Leeman, Johannes Köhler, Florian Messerer, Amon Lahr, Moritz Diehl, Melanie N. Zeilinger
2024 J jnl
From Data to Predictive Control: A Framework for Stochastic Linear Systems with Output Measurements.
CoRR
Haldun Balim, Andrea Carron, Melanie N. Zeilinger, Johannes Köhler
2024 J jnl
Inherently Robust Suboptimal MPC for Autonomous Racing With Anytime Feasible SQP.
IEEE Robotics Autom. Lett.
Logan Numerow, Andrea Zanelli, Andrea Carron, Melanie N. Zeilinger
2024 J jnl
Inherently robust suboptimal MPC for autonomous racing with anytime feasible SQP.
CoRR
Logan Numerow, Andrea Zanelli, Andrea Carron, Melanie N. Zeilinger
2024 — conf
Inverse optimal control as an errors-in-variables problem.
L4DC
Rahel Rickenbach, Anna Scampicchio, Melanie N. Zeilinger
2024 J jnl
L4acados: Learning-based models for acados, applied to Gaussian process-based predictive control.
CoRR
Amon Lahr, Joshua Näf, Kim Peter Wabersich, Jonathan Frey, Pascal Siehl, Andrea Carron, Moritz Diehl, Melanie N. Zeilinger
2024 J jnl
Lambda-Skip Connections: the architectural component that prevents Rank Collapse.
CoRR
Federico Arangath Joseph, Jerome Sieber, Melanie N. Zeilinger, Carmen Amo Alonso
2024 — conf
MPCC++: Model Predictive Contouring Control for Time-Optimal Flight with Safety Constraints.
Robotics: Science and Systems
Maria Krinner, Angel Romero, Leonard Bauersfeld, Melanie N. Zeilinger, Andrea Carron, Davide Scaramuzza
2024 J jnl
Model predictive control for tracking using artificial references: Fundamentals, recent results and practical implementation.
CoRR
Pablo Krupa, Johannes Köhler, Antonio Ferramosca, Ignacio Alvarado, Melanie N. Zeilinger, Teodoro Alamo, Daniel Limón
2024 — conf
Model-based Estimation of Ventricular Cerebrospinal Fluid Volume.
CCTA
Fabian Flürenbrock, Simon Muntwiler, Leonie Korn, Marianne Schmid Daners, Melanie N. Zeilinger
2024 J jnl
Moving Horizon Estimation for Simultaneous Localization and Mapping with Robust Estimation Error Bounds.
CoRR
Jelena Trisovic, Alexandre Didier, Simon Muntwiler, Melanie N. Zeilinger
2024 — conf
Optimization-Based System Identification and Moving Horizon Estimation Using Low-Cost Sensors for a Miniature Car-Like Robot.
CDC
Sabrina Bodmer, Lukas Vogel, Simon Muntwiler, Alexander Hansson, Tobias Bodewig, Jonas Wahlen, Melanie N. Zeilinger, Andrea Carron
2024 J jnl
Optimization-Based System Identification and Moving Horizon Estimation Using Low-Cost Sensors for a Miniature Car-Like Robot.
CoRR
Sabrina Bodmer, Lukas Vogel, Simon Muntwiler, Alexander Hansson, Tobias Bodewig, Jonas Wahlen, Melanie N. Zeilinger, Andrea Carron
2024 A conf
Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer (Π-MPC).
IROS
Luis A. Pabon, Johannes Köhler, John Irvin Alora, Patrick Benito Eberhard, Andrea Carron, Melanie N. Zeilinger, Marco Pavone
2024 J jnl
Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer (Π-MPC).
CoRR
Luis A. Pabon, Johannes Köhler, John Irvin Alora, Patrick Benito Eberhard, Andrea Carron, Melanie N. Zeilinger, Marco Pavone
2024 J jnl
Predictive control for nonlinear stochastic systems: Closed-loop guarantees with unbounded noise.
CoRR
Johannes Köhler, Melanie N. Zeilinger
2024 J jnl
Predictive stability filters for nonlinear dynamical systems affected by disturbances.
CoRR
Alexandre Didier, Andrea Zanelli, Kim Peter Wabersich, Melanie N. Zeilinger
2024 J jnl
Probabilistic ODE Solvers for Integration Error-Aware Numerical Optimal Control.
CoRR
Amon Lahr, Filip Tronarp, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig, Melanie N. Zeilinger
2024 — conf
Probabilistic ODE solvers for integration error-aware numerical optimal control.
L4DC
Amon Lahr, Filip Tronarp, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig, Melanie N. Zeilinger
2024 J jnl
Safe Guaranteed Exploration for Non-linear Systems.
CoRR
Manish Prajapat, Johannes Köhler, Matteo Turchetta, Andreas Krause, Melanie N. Zeilinger
2024 J jnl
State Space Models as Foundation Models: A Control Theoretic Overview.
CoRR
Carmen Amo Alonso, Jerome Sieber, Melanie N. Zeilinger
2024 J jnl
Stochastic Data-Driven Predictive Control: Chance-Constraint Satisfaction With Identified Multi-Step Predictors.
IEEE Control. Syst. Lett.
Haldun Balim, Andrea Carron, Melanie N. Zeilinger, Johannes Köhler
2024 J jnl
Stochastic Data-Driven Predictive Control: Chance-Constraint Satisfaction with Identified Multi-step Predictors.
CoRR
Haldun Balim, Andrea Carron, Melanie N. Zeilinger, Johannes Köhler
2024 J jnl
Stochastic Online Optimization for Cyber-Physical and Robotic Systems.
CoRR
Hao Ma, Melanie N. Zeilinger, Michael Muehlebach
2024 A* conf
Submodular Reinforcement Learning.
ICLR
Manish Prajapat, Mojmir Mutny, Melanie N. Zeilinger, Andreas Krause
2024 J jnl
Time-Optimal Flight with Safety Constraints and Data-driven Dynamics.
CoRR
Maria Krinner, Angel Romero, Leonard Bauersfeld, Melanie N. Zeilinger, Andrea Carron, Davide Scaramuzza
2024 — conf
Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework.
CDC
Manish Prajapat, Amon Lahr, Johannes Köhler, Andreas Krause, Melanie N. Zeilinger
2024 J jnl
Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework.
CoRR
Manish Prajapat, Amon Lahr, Johannes Köhler, Andreas Krause, Melanie N. Zeilinger
2024 A* conf
Understanding the Differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks.
NeurIPS
Jerome Sieber, Carmen Amo Alonso, Alexandre Didier, Melanie N. Zeilinger, Antonio Orvieto
2024 J jnl
Understanding the differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks.
CoRR
Jerome Sieber, Carmen Amo Alonso, Alexandre Didier, Melanie N. Zeilinger, Antonio Orvieto
2023 J jnl
A Lyapunov Function for Robust Stability of Moving Horizon Estimation.
IEEE Trans. Autom. Control.
Julian D. Schiller, Simon Muntwiler, Johannes Köhler, Melanie N. Zeilinger, Matthias Albrecht Müller
2023 J jnl
A Stiffness-Oriented Model Order Reduction Method for Low-Inertia Power Systems.
CoRR
Simon Muntwiler, Ognjen Stanojev, Andrea Zanelli, Gabriela Hug, Melanie N. Zeilinger
2023 J jnl
Active Learning-based Model Predictive Coverage Control.
CoRR
Rahel Rickenbach, Johannes Köhler, Anna Scampicchio, Melanie N. Zeilinger, Andrea Carron
2023 — conf
Approximate Predictive Control Barrier Functions using Neural Networks: A Computationally Cheap and Permissive Safety Filter.
ECC
Alexandre Didier, Robin C. Jacobs, Jerome Sieber, Kim Peter Wabersich, Melanie N. Zeilinger
2023 J jnl
Approximate non-linear model predictive control with safety-augmented neural networks.
CoRR
Henrik Hose, Johannes Köhler, Melanie N. Zeilinger, Sebastian Trimpe
2023 J jnl
Automatic nonlinear MPC approximation with closed-loop guarantees.
CoRR
Abdullah Tokmak, Christian Fiedler, Melanie N. Zeilinger, Sebastian Trimpe, Johannes Köhler
2023 J jnl
Bayesian Multi-Task Learning MPC for Robotic Mobile Manipulation.
IEEE Robotics Autom. Lett.
Elena Arcari, Maria Vittoria Minniti, Anna Scampicchio, Andrea Carron, Farbod Farshidian, Marco Hutter, Melanie N. Zeilinger
2023 J jnl
Cautious Bayesian MPC: Regret Analysis and Bounds on the Number of Unsafe Learning Episodes.
IEEE Trans. Autom. Control.
Kim Peter Wabersich, Melanie N. Zeilinger
2023 A* conf
Chronos and CRS: Design of a miniature car-like robot and a software framework for single and multi-agent robotics and control.
ICRA
Andrea Carron, Sabrina Bodmer, Lukas Vogel, René Zurbrügg, David Helm, Rahel Rickenbach, Simon Muntwiler, Jerome Sieber, Melanie N. Zeilinger
2023 J jnl
Error Analysis of Regularized Trigonometric Linear Regression With Unbounded Sampling: A Statistical Learning Viewpoint.
IEEE Control. Syst. Lett.
Anna Scampicchio, Elena Arcari, Melanie N. Zeilinger
2023 J jnl
Guest Editorial Introduction to the IEEE Control Systems Letters Special Section on Data-Driven Analysis and Control.
IEEE Control. Syst. Lett.
M. Kanat Camlibel, Martin Guay, Sophie Tarbouriech, Simone Baldi, Timm Faulwasser, Francesco Ferrante, Paolo Rapisarda, Henk J. van Waarde, Melanie N. Zeilinger
2023 J jnl
Homothetic Tube Model Predictive Control With Multi-Step Predictors.
IEEE Control. Syst. Lett.
Danilo Saccani, Giancarlo Ferrari-Trecate, Melanie N. Zeilinger, Johannes Köhler
2023 J jnl
Homothetic tube model predictive control with multi-step predictors.
CoRR
Danilo Saccani, Giancarlo Ferrari-Trecate, Melanie N. Zeilinger, Johannes Köhler
2023 J jnl
Inverse Optimal Control as an Errors-in-Variables Problem.
CoRR
Rahel Rickenbach, Anna Scampicchio, Melanie N. Zeilinger
2023 — conf
LQG for Constrained Linear Systems: Indirect Feedback Stochastic MPC with Kalman Filtering.
ECC
Simon Muntwiler, Kim Peter Wabersich, Robert Miklos, Melanie N. Zeilinger
2023 J jnl
MHE under parametric uncertainty - Robust state estimation without informative data.
CoRR
Simon Muntwiler, Johannes Köhler, Melanie N. Zeilinger
2023 — conf
Model Predictive Control for Multi-Agent Systems Under Limited Communication and Time-Varying Network Topology.
CDC
Danilo Saccani, Lorenzo Fagiano, Melanie N. Zeilinger, Andrea Carron
2023 J jnl
Model Predictive Control for Multi-Agent Systems under Limited Communication and Time-Varying Network Topology.
CoRR
Danilo Saccani, Lorenzo Fagiano, Melanie N. Zeilinger, Andrea Carron
2023 J jnl
Multi-agent Distributed Model Predictive Control with Connectivity Constraint.
CoRR
Andrea Carron, Danilo Saccani, Lorenzo Fagiano, Melanie N. Zeilinger
2023 J jnl
Nonlinear Functional Estimation: Functional Detectability and Full Information Estimation.
CoRR
Simon Muntwiler, Johannes Köhler, Melanie N. Zeilinger
2023 — conf
On Stochastic MPC Formulations with Closed-Loop Guarantees: Analysis and a Unifying Framework.
CDC
Johannes Köhler, Ferdinand Geuss, Melanie N. Zeilinger
2023 J jnl
On stochastic MPC formulations with closed-loop guarantees: Analysis and a unifying framework.
CoRR
Johannes Köhler, Ferdinand Geuss, Melanie N. Zeilinger
2023 C conf
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems.
ACC
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
2023 J jnl
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems.
CoRR
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
2023 J jnl
Predictive Control Barrier Functions: Enhanced Safety Mechanisms for Learning-Based Control.
IEEE Trans. Autom. Control.
Kim Peter Wabersich, Melanie N. Zeilinger
2023 — conf
Predictive safety filter using system level synthesis.
L4DC
Antoine Leeman, Johannes Köhler, Samir Bennani, Melanie N. Zeilinger
2023 J jnl
Robust Nonlinear Optimal Control via System Level Synthesis.
CoRR
Antoine P. Leeman, Johannes Köhler, Andrea Zanelli, Samir Bennani, Melanie N. Zeilinger
2023 — conf
Robust Nonlinear Reduced-Order Model Predictive Control.
CDC
John Irvin Alora, Luis A. Pabon, Johannes Köhler, Mattia Cenedese, Edward Schmerling, Melanie N. Zeilinger, George Haller, Marco Pavone
2023 J jnl
Robust Nonlinear Reduced-Order Model Predictive Control.
CoRR
John Irvin Alora, Luis A. Pabon, Johannes Köhler, Mattia Cenedese, Edward Schmerling, Melanie N. Zeilinger, George Haller, Marco Pavone
2023 — conf
Robust Optimal Control for Nonlinear Systems with Parametric Uncertainties via System Level Synthesis.
CDC
Antoine P. Leeman, Jérôme Sieber, Samir Bennani, Melanie N. Zeilinger
2023 J jnl
Robust Optimal Control for Nonlinear Systems with Parametric Uncertainties via System Level Synthesis.
CoRR
Antoine P. Leeman, Jerome Sieber, Samir Bennani, Melanie N. Zeilinger
2023 J jnl
Robust adaptive MPC using control contraction metrics.
Autom.
András Sasfi, Melanie N. Zeilinger, Johannes Köhler
2023 J jnl
Stability and Performance Analysis of NMPC: Detectable Stage Costs and General Terminal Costs.
IEEE Trans. Autom. Control.
Johannes Köhler, Melanie N. Zeilinger, Lars Grüne
2023 J jnl
Stochastic MPC With Robustness to Bounded Parameteric Uncertainty.
IEEE Trans. Autom. Control.
Elena Arcari, Andrea Iannelli, Andrea Carron, Melanie N. Zeilinger
2023 J jnl
Submodular Reinforcement Learning.
CoRR
Manish Prajapat, Mojmír Mutný, Melanie N. Zeilinger, Andreas Krause
2023 — conf
Time Dependent Inverse Optimal Control using Trigonometric Basis Functions.
L4DC
Rahel Rickenbach, Elena Arcari, Melanie N. Zeilinger
2023 J jnl
Time Dependent Inverse Optimal Control using Trigonometric Basis Functions.
CoRR
Rahel Rickenbach, Elena Arcari, Melanie N. Zeilinger
2023 J jnl
Zero-order optimization for Gaussian process-based model predictive control.
Eur. J. Control
Amon Lahr, Andrea Zanelli, Andrea Carron, Melanie N. Zeilinger
2022 — conf
A Feasible Sequential Linear Programming Algorithm with Application to Time-Optimal Path Planning Problems.
CDC
David Kiessling, Andrea Zanelli, Armin Nurkanovic, Joris Gillis, Moritz Diehl, Melanie N. Zeilinger, Goele Pipeleers, Jan Swevers
2022 J jnl
A Lyapunov function for robust stability of moving horizon estimation.
CoRR
Julian D. Schiller, Simon Muntwiler, Johannes Köhler, Melanie N. Zeilinger, Matthias A. Müller
2022 J jnl
A Soft Constrained MPC Formulation Enabling Learning From Trajectories With Constraint Violations.
IEEE Control. Syst. Lett.
Kim Peter Wabersich, Raamadaas Krishnadas, Melanie N. Zeilinger
2022 J jnl
A System Level Approach to Regret Optimal Control.
CoRR
Alexandre Didier, Jerome Sieber, Melanie N. Zeilinger
2022 J jnl
A System Level Approach to Regret Optimal Control.
IEEE Control. Syst. Lett.
Alexandre Didier, Jerome Sieber, Melanie N. Zeilinger
2022 J jnl
A System Level Approach to Tube-Based Model Predictive Control.
IEEE Control. Syst. Lett.
Jerome Sieber, Samir Bennani, Melanie N. Zeilinger
2022 J jnl
Approximate Predictive Control Barrier Functions using Neural Networks: A Computationally Cheap and Permissive Safety Filter.
CoRR
Alexandre Didier, Robin C. Jacobs, Jerome Sieber, Kim Peter Wabersich, Melanie N. Zeilinger
2022 J jnl
Asynchronous Computation of Tube-based Model Predictive Control.
CoRR
Jerome Sieber, Andrea Zanelli, Samir Bennani, Melanie N. Zeilinger
2022 J jnl
Bayesian Multi-Task Learning MPC for Robotic Mobile Manipulation.
CoRR
Elena Arcari, Maria Vittoria Minniti, Anna Scampicchio, Andrea Carron, Farbod Farshidian, Marco Hutter, Melanie N. Zeilinger
2022 J jnl
Chronos and CRS: Design of a miniature car-like robot and a software framework for single and multi-agent robotics and control.
CoRR
Andrea Carron, Sabrina Bodmer, Lukas Vogel, René Zurbrügg, David Helm, Rahel Rickenbach, Simon Muntwiler, Jerome Sieber, Melanie N. Zeilinger
2022 A conf
Contextual Tuning of Model Predictive Control for Autonomous Racing.
IROS
Lukas P. Fröhlich, Christian Küttel, Elena Arcari, Lukas Hewing, Melanie N. Zeilinger, Andrea Carron
2022 C conf
Fusion of Machine Learning and MPC under Uncertainty: What Advances Are on the Horizon?
ACC
Ali Mesbah, Kim Peter Wabersich, Angela P. Schoellig, Melanie N. Zeilinger, Sergio Lucia, Thomas A. Badgwell, Joel A. Paulson
2022 J jnl
Generalised Regret Optimal Controller Synthesis for Constrained Systems.
CoRR
Alexandre Didier, Melanie N. Zeilinger
2022 J jnl
Globally stable and locally optimal model predictive control using a softened initial state constraint - extended version.
CoRR
Johannes Köhler, Melanie N. Zeilinger
2022 J jnl
LQG for Constrained Linear Systems: Indirect Feedback Stochastic MPC with Kalman Filtering.
CoRR
Simon Muntwiler, Kim Peter Wabersich, Robert Miklos, Melanie N. Zeilinger
2022 — conf
Learning-based Moving Horizon Estimation through Differentiable Convex Optimization Layers.
L4DC
Simon Muntwiler, Kim Peter Wabersich, Melanie N. Zeilinger
2022 A* conf
Near-Optimal Multi-Agent Learning for Safe Coverage Control.
NeurIPS
Manish Prajapat, Matteo Turchetta, Melanie N. Zeilinger, Andreas Krause
2022 J jnl
Near-Optimal Multi-Agent Learning for Safe Coverage Control.
CoRR
Manish Prajapat, Matteo Turchetta, Melanie N. Zeilinger, Andreas Krause
2022 A* conf
On-Policy Model Errors in Reinforcement Learning.
ICLR
Lukas P. Fröhlich, Maksym Lefarov, Melanie N. Zeilinger, Felix Berkenkamp
2022 J jnl
Predictive safety filter using system level synthesis.
CoRR
Antoine P. Leeman, Johannes Köhler, Samir Bennani, Melanie N. Zeilinger
2022 J jnl
Probabilistic Model Predictive Safety Certification for Learning-Based Control.
IEEE Trans. Autom. Control.
Kim Peter Wabersich, Lukas Hewing, Andrea Carron, Melanie N. Zeilinger
2022 J jnl
Recursively Feasible Stochastic Predictive Control Using an Interpolating Initial State Constraint.
IEEE Control. Syst. Lett.
Johannes Köhler, Melanie N. Zeilinger
2022 J jnl
Recursively feasible stochastic predictive control using an interpolating initial state constraint - extended version.
CoRR
Johannes Köhler, Melanie N. Zeilinger
2022 J jnl
Robust adaptive MPC using control contraction metrics.
CoRR
András Sasfi, Melanie N. Zeilinger, Johannes Köhler
2022 — conf
State space models vs. multi-step predictors in predictive control: Are state space models complicating safe data-driven designs?
CDC
Johannes Köhler, Kim Peter Wabersich, Julian Berberich, Melanie N. Zeilinger
2022 J jnl
State space models vs. multi-step predictors in predictive control: Are state space models complicating safe data-driven designs?
CoRR
Johannes Köhler, Kim Peter Wabersich, Julian Berberich, Melanie N. Zeilinger
2022 J jnl
Stochastic MPC with robustness to bounded parametric uncertainty.
CoRR
Elena Arcari, Andrea Iannelli, Andrea Carron, Melanie N. Zeilinger
2022 J jnl
System level disturbance reachable sets and their application to tube-based MPC.
Eur. J. Control
Jerome Sieber, Andrea Zanelli, Samir Bennani, Melanie N. Zeilinger
2021 J jnl
A Predictive Safety Filter for Learning-Based Racing Control.
IEEE Robotics Autom. Lett.
Ben Tearle, Kim Peter Wabersich, Andrea Carron, Melanie N. Zeilinger
2021 J jnl
A System Level Approach to Robust Model Predictive Control.
CoRR
Jerome Sieber, Samir Bennani, Melanie N. Zeilinger
2021 J jnl
A predictive safety filter for learning-based control of constrained nonlinear dynamical systems.
Autom.
Kim Peter Wabersich, Melanie N. Zeilinger
2021 J jnl
A predictive safety filter for learning-based racing control.
CoRR
Ben Tearle, Kim Peter Wabersich, Andrea Carron, Melanie N. Zeilinger
2021 J jnl
Adaptive Model Predictive Safety Certification for Learning-based Control - Extended Version.
CoRR
Alexandre Didier, Kim Peter Wabersich, Melanie N. Zeilinger
2021 — conf
Adaptive Model Predictive Safety Certification for Learning-based Control.
CDC
Alexandre Didier, Kim Peter Wabersich, Melanie N. Zeilinger
2021 — conf
Bayesian multi-task learning using finite-dimensional models: A comparative study.
CDC
Elena Arcari, Anna Scampicchio, Andrea Carron, Melanie N. Zeilinger
2021 — conf
Cautious Bayesian Optimization for Efficient and Scalable Policy Search.
L4DC
Lukas P. Fröhlich, Melanie N. Zeilinger, Edgar D. Klenske
2021 J jnl
Constrained Inverse Optimal Control With Application to a Human Manipulation Task.
IEEE Trans. Control. Syst. Technol.
Marcel Menner, Peter Worsnop, Melanie N. Zeilinger
2021 — conf
Data-Driven Distributed Stochastic Model Predictive Control with Closed-Loop Chance Constraint Satisfaction.
ECC
Simon Muntwiler, Kim Peter Wabersich, Lukas Hewing, Melanie N. Zeilinger
2021 J jnl
Data-Driven Investigation of Gait Patterns in Individuals Affected by Normal Pressure Hydrocephalus.
Sensors
Kiran Kuruvithadam, Marcel Menner, William R. Taylor, Melanie N. Zeilinger, Lennart Stieglitz, Marianne Schmid Daners
2021 J jnl
Data-driven MIMO control of room temperature and bidirectional EV charging using deep reinforcement learning: simulation and experiments.
CoRR
Bratislav Svetozarevic, Christian Baumann, Simon Muntwiler, Loris Di Natale, Philipp Heer, Melanie N. Zeilinger
2021 A conf
Design, Optimal Guidance and Control of a Low-cost Re-usable Electric Model Rocket.
IROS
Lukas Spannagl, Elias Hampp, Andrea Carron, Jerome Sieber, Carlo Alberto Pascucci, Aldo U. Zgraggen, Alexander Domahidi, Melanie N. Zeilinger
2021 J jnl
Design, Optimal Guidance and Control of a Low-cost Re-usable Electric Model Rocket.
CoRR
Lukas Spannagl, Elias Hampp, Andrea Carron, Jerome Sieber, Carlo Alberto Pascucci, Aldo U. Zgraggen, Alexander Domahidi, Melanie N. Zeilinger
2021 J jnl
Interaction-Aware Motion Prediction for Autonomous Driving: A Multiple Model Kalman Filtering Scheme.
IEEE Robotics Autom. Lett.
Vasileios Lefkopoulos, Marcel Menner, Alexander Domahidi, Melanie N. Zeilinger
2021 J jnl
Inverse Learning for Data-Driven Calibration of Model-Based Statistical Path Planning.
IEEE Trans. Intell. Veh.
Marcel Menner, Karl Berntorp, Melanie N. Zeilinger, Stefano Di Cairano
2021 J jnl
Knee Compliance Reduces Peak Swing Phase Collision Forces in a Lower-Limb Exoskeleton Leg: A Test Bench Evaluation.
IEEE Trans. Biomed. Eng.
Stefan O. Schrade, Marcel Menner, Camila Shirota, Peter Winiger, Alex Stutz, Melanie N. Zeilinger, Olivier Lambercy, Roger Gassert
2021 J jnl
Learning-based Moving Horizon Estimation through Differentiable Convex Optimization Layers.
CoRR
Simon Muntwiler, Kim Peter Wabersich, Melanie N. Zeilinger
2021 J jnl
Model Learning and Contextual Controller Tuning for Autonomous Racing.
CoRR
Lukas P. Fröhlich, Christian Küttel, Elena Arcari, Lukas Hewing, Melanie N. Zeilinger, Andrea Carron
2021 J jnl
On-Policy Model Errors in Reinforcement Learning.
CoRR
Lukas P. Fröhlich, Maksym Lefarov, Melanie N. Zeilinger, Felix Berkenkamp
2021 J jnl
Plug-and-Play Distributed Safety Verification for Linear Control Systems With Bounded Uncertainties.
IEEE Trans. Control. Netw. Syst.
Andrea Carron, Kim Peter Wabersich, Melanie N. Zeilinger
2021 J jnl
Predictive control barrier functions: Enhanced safety mechanisms for learning-based control.
CoRR
Kim Peter Wabersich, Melanie N. Zeilinger
2021 — conf
Preface.
L4DC
Ali Jadbabaie, John Lygeros, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger
2021 — ed.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, L4DC 2021, 7-8 June 2021, Virtual Event, Switzerland.
Ali Jadbabaie, John Lygeros, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger
2021 J jnl
Scalable Model Predictive Control for Autonomous Mobility-on-Demand Systems.
IEEE Trans. Control. Syst. Technol.
Andrea Carron, Francesco Seccamonte, Claudio Ruch, Emilio Frazzoli, Melanie N. Zeilinger
2021 J jnl
Stability and performance analysis of NMPC: Detectable stage costs and general terminal costs.
CoRR
Johannes Köhler, Melanie N. Zeilinger, Lars Grüne
2021 J jnl
System Level Disturbance Reachable Sets and their Application to Tube-based MPC.
CoRR
Jerome Sieber, Andrea Zanelli, Samir Bennani, Melanie N. Zeilinger
2021 — conf
Volume Control of Low-Cost Ventilator with Automatic Set-Point Adaptation.
ECC
Lukas Hewing, Marcel Menner, Nikolaos Tachatos, Marianne Schmid Daners, Cosima du Pasquier, Thomas S. Lumpe, Kristina Shea, Andrea Carron, Melanie N. Zeilinger
2020 J jnl
Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection.
CoRR
Lukas P. Fröhlich, Edgar D. Klenske, Christian G. Daniel, Melanie N. Zeilinger
2020 — conf
Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling.
L4DC
Kim Peter Wabersich, Melanie N. Zeilinger
2020 J jnl
Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling.
CoRR
Kim Peter Wabersich, Melanie N. Zeilinger
2020 J jnl
Cautious Bayesian Optimization for Efficient and Scalable Policy Search.
CoRR
Lukas P. Fröhlich, Melanie N. Zeilinger, Edgar D. Klenske
2020 J jnl
Cautious Model Predictive Control Using Gaussian Process Regression.
IEEE Trans. Control. Syst. Technol.
Lukas Hewing, Juraj Kabzan, Melanie N. Zeilinger
2020 J jnl
Data-Driven Distributed Stochastic Model Predictive Control with Closed-Loop Chance Constraint Satisfaction.
CoRR
Simon Muntwiler, Kim Peter Wabersich, Lukas Hewing, Melanie N. Zeilinger
2020 J jnl
Distributed Safe Learning using an Invariance-based Safety Framework.
CoRR
Andrea Carron, Jerome Sieber, Melanie N. Zeilinger
2020 — conf
Dual Stochastic MPC for Systems with Parametric and Structural Uncertainty.
L4DC
Elena Arcari, Lukas Hewing, Max Schlichting, Melanie N. Zeilinger
2020 J jnl
Learning-Based Model Predictive Control: Toward Safe Learning in Control.
Annu. Rev. Control. Robotics Auton. Syst.
Lukas Hewing, Kim Peter Wabersich, Marcel Menner, Melanie N. Zeilinger
2020 J jnl
Maximum Likelihood Methods for Inverse Learning of Optimal Controllers.
CoRR
Marcel Menner, Melanie N. Zeilinger
2020 J jnl
Meta Learning MPC using Finite-Dimensional Gaussian Process Approximations.
CoRR
Elena Arcari, Andrea Carron, Melanie N. Zeilinger
2020 A conf
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization.
AISTATS
Lukas P. Fröhlich, Edgar D. Klenske, Julia Vinogradska, Christian Daniel, Melanie N. Zeilinger
2020 J jnl
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization.
CoRR
Lukas P. Fröhlich, Edgar D. Klenske, Julia Vinogradska, Christian Daniel, Melanie N. Zeilinger
2020 — conf
On Simulation and Trajectory Prediction with Gaussian Process Dynamics.
L4DC
Lukas Hewing, Elena Arcari, Lukas P. Fröhlich, Melanie N. Zeilinger
2020 — conf
Performance Analysis of Stochastic Model Predictive Control with Direct and Indirect Feedback.
CDC
Lukas Hewing, Melanie N. Zeilinger
2020 J jnl
Performance and safety of Bayesian model predictive control: Scalable model-based RL with guarantees.
CoRR
Kim Peter Wabersich, Melanie N. Zeilinger
2020 — ed.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, L4DC 2020, Online Event, Berkeley, CA, USA, 11-12 June 2020.
Alexandre M. Bayen, Ali Jadbabaie, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger
2020 J jnl
Recursively feasible stochastic model predictive control using indirect feedback.
Autom.
Lukas Hewing, Kim Peter Wabersich, Melanie N. Zeilinger
2020 J jnl
Scenario-Based Probabilistic Reachable Sets for Recursively Feasible Stochastic Model Predictive Control.
IEEE Control. Syst. Lett.
Lukas Hewing, Melanie N. Zeilinger
2020 J jnl
Using Human Ratings for Feedback Control: A Supervised Learning Approach With Application to Rehabilitation Robotics.
IEEE Trans. Robotics
Marcel Menner, Lukas Neuner, Lars Lünenburger, Melanie N. Zeilinger
2020 J jnl
Volume Control of Low-Cost Ventilator with Automatic Set-Point Adaptation.
CoRR
Lukas Hewing, Marcel Menner, Nikolaos Tachatos, Marianne Schmid Daners, Cosima du Pasquier, Thomas S. Lumpe, Kristina Shea, Andrea Carron, Melanie N. Zeilinger
2019 J jnl
A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems.
IEEE Trans. Autom. Control.
Jaime F. Fisac, Anayo K. Akametalu, Melanie N. Zeilinger, Shahab Kaynama, Jeremy H. Gillula, Claire J. Tomlin
2019 J jnl
An Approximate Dynamic Programming Approach for Dual Stochastic Model Predictive Control.
CoRR
Elena Arcari, Lukas Hewing, Melanie N. Zeilinger
2019 A conf
Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection.
IROS
Lukas P. Fröhlich, Edgar D. Klenske, Christian G. Daniel, Melanie N. Zeilinger
2019 J jnl
Data-Driven Model Predictive Control for Trajectory Tracking With a Robotic Arm.
IEEE Robotics Autom. Lett.
Andrea Carron, Elena Arcari, Martin Wermelinger, Lukas Hewing, Marco Hutter, Melanie N. Zeilinger
2019 J jnl
Distributed Model Predictive Safety Certification for Learning-based Control.
CoRR
Simon Muntwiler, Kim Peter Wabersich, Andrea Carron, Melanie N. Zeilinger
2019 J jnl
Dual Stochastic MPC for Systems with Parametric and Structural Uncertainty.
CoRR
Elena Arcari, Lukas Hewing, Max Schlichting, Melanie N. Zeilinger
2019 — conf
Inverse Learning for Human-Adaptive Motion Planning.
CDC
Marcel Menner, Karl Berntorp, Melanie N. Zeilinger, Stefano Di Cairano
2019 J jnl
Knee Compliance Reduces Peak Swing Phase Collision Forces in a Lower-Limb Exoskeleton Leg: A Test Bench Evaluation.
CoRR
Stefan O. Schrade, Marcel Menner, Camila Shirota, Peter Winiger, Alex Stutz, Melanie N. Zeilinger, Olivier Lambercy, Roger Gassert
2019 J jnl
Learning-Based Model Predictive Control for Autonomous Racing.
IEEE Robotics Autom. Lett.
Juraj Kabzan, Lukas Hewing, Alexander Liniger, Melanie N. Zeilinger
2019 J jnl
On Simulation and Trajectory Prediction with Gaussian Process Dynamics.
CoRR
Lukas Hewing, Elena Arcari, Lukas P. Fröhlich, Melanie N. Zeilinger
2019 J jnl
Plug-and-Play Model Predictive Control for Load Shaping and Voltage Control in Smart Grids.
IEEE Trans. Smart Grid
Caroline Le Floch, Somil Bansal, Claire J. Tomlin, Scott J. Moura, Melanie N. Zeilinger
2019 J jnl
Probabilistic model predictive safety certification for learning-based control.
CoRR
Kim Peter Wabersich, Lukas Hewing, Andrea Carron, Melanie N. Zeilinger
2019 J jnl
Using Human Ratings for Feedback Control: A Supervised Learning Approach with Application to Rehabilitation Robotics.
CoRR
Marcel Menner, Lukas Neuner, Lars Lünenburger, Melanie N. Zeilinger
2018 — conf
A User Comfort Model and Index Policy for Personalizing Discrete Controller Decisions.
ECC
Marcel Menner, Melanie N. Zeilinger
2018 — conf
Cautious NMPC with Gaussian Process Dynamics for Autonomous Miniature Race Cars.
ECC
Lukas Hewing, Alexander Liniger, Melanie N. Zeilinger
2018 — conf
Convex Formulations and Algebraic Solutions for Linear Quadratic Inverse Optimal Control Problems.
ECC
Marcel Menner, Melanie N. Zeilinger
2018 — conf
Linear Model Predictive Safety Certification for Learning-Based Control.
CDC
Kim Peter Wabersich, Melanie N. Zeilinger
2018 J jnl
Linear model predictive safety certification for learning-based control.
CoRR
Kim Peter Wabersich, Melanie N. Zeilinger
2018 — conf
On a Correspondence between Probabilistic and Robust Invariant Sets for Linear Systems.
ECC
Lukas Hewing, Andrea Carron, Kim Peter Wabersich, Melanie N. Zeilinger
2018 J jnl
Predictive Modeling by Infinite-Horizon Constrained Inverse Optimal Control with Application to a Human Manipulation Task.
CoRR
Marcel Menner, Peter Worsnop, Melanie N. Zeilinger
2018 J jnl
Recursively Feasible Stochastic Model Predictive Control using Indirect Feedback.
CoRR
Lukas Hewing, Kim Peter Wabersich, Melanie N. Zeilinger
2018 J jnl
Safe exploration of nonlinear dynamical systems: A predictive safety filter for reinforcement learning.
CoRR
Kim Peter Wabersich, Melanie N. Zeilinger
2018 — conf
Scalable synthesis of safety certificates from data with application to learning-based control.
ECC
Kim Peter Wabersich, Melanie N. Zeilinger
2018 — conf
Stochastic Model Predictive Control for Linear Systems Using Probabilistic Reachable Sets.
CDC
Lukas Hewing, Melanie N. Zeilinger
2018 J jnl
Stochastic Model Predictive Control for Linear Systems using Probabilistic Reachable Sets.
CoRR
Lukas Hewing, Melanie N. Zeilinger
2017 J jnl
Cautious Model Predictive Control using Gaussian Process Regression.
CoRR
Lukas Hewing, Melanie N. Zeilinger
2017 J jnl
Cautious NMPC with Gaussian Process Dynamics for Miniature Race Cars.
CoRR
Lukas Hewing, Alexander Liniger, Melanie N. Zeilinger
2017 J jnl
Scalable synthesis of safety certificates from data with application to learning-based control.
CoRR
Kim Peter Wabersich, Melanie N. Zeilinger
2013 — conf
Robust distributed model predictive control of linear systems.
ECC
Christian Conte, Melanie N. Zeilinger, Manfred Morari, Colin N. Jones