Nonlinear functional estimation: Functional detectability and full information estimation - Simon Muntwiler; Johannes Köhler; Melanie N. Zeilinger (Autom., 2025)

Computationally efficient system level tube-MPC for uncertain systems - Jerome Sieber; Alexandre Didier; Melanie N. Zeilinger (Autom., 2025)

Performance-Driven Constrained Optimal Auto-Tuner for MPC - Albert Gassol Puigjaner; Manish Prajapat; Andrea Carron; Andreas Krause; Melanie N. Zeilinger (IEEE Robotics Autom. Lett., 2025)

Robust Nonlinear Optimal Control via System Level Synthesis - Antoine P. Leeman; Johannes Köhler; Andrea Zanelli; Samir Bennani; Melanie N. Zeilinger (IEEE Trans. Autom. Control., 2025)

Safe Guaranteed Exploration for Nonlinear Systems - Manish Prajapat; Johannes Köhler; Matteo Turchetta; Andreas Krause; Melanie N. Zeilinger (IEEE Trans. Autom. Control., 2025)

Lambda-Skip Connections: the architectural component that prevents Rank Collapse - Federico Arangath Joseph; Jerome Sieber; Melanie Nicole Zeilinger; Carmen Amo Alonso (The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025, 2025)

Gaussian processes for dynamics learning in model predictive control - Anna Scampicchio; Elena Arcari; Amon Lahr; Melanie N. Zeilinger (CoRR, 2025)

Stochastic MPC with Online-optimized Policies and Closed-loop Guarantees - Marcell Bartos; Alexandre Didier; Jerome Sieber; Johannes Köhler; Melanie N. Zeilinger (CoRR, 2025)

Performance-driven Constrained Optimal Auto-Tuner for MPC - Albert Gassol Puigjaner; Manish Prajapat; Andrea Carron; Andreas Krause; Melanie N. Zeilinger (CoRR, 2025)

Stochastic Model Predictive Control for Sub-Gaussian Noise - Yunke Ao; Johannes Köhler; Manish Prajapat; Yarden As; Melanie Nicole Zeilinger; Philipp Fürnstahl; Andreas Krause (CoRR, 2025)

A multiobjective approach to robust predictive control barrier functions for discrete-time systems - Alexandre Didier; Melanie N. Zeilinger (CoRR, 2025)

Finite-Sample-Based Reachability for Safe Control with Gaussian Process Dynamics - Manish Prajapat; Johannes Köhler; Amon Lahr; Andreas Krause; Melanie N. Zeilinger (CoRR, 2025)

Constraint-Aware Diffusion Guidance for Robotics: Real-Time Obstacle Avoidance for Autonomous Racing - Hao Ma; Sabrina Bodmer; Andrea Carron; Melanie Nicole Zeilinger; Michael Muehlebach (CoRR, 2025)

Optimal kernel regression bounds under energy-bounded noise - Amon Lahr; Johannes Köhler; Anna Scampicchio; Melanie N. Zeilinger (CoRR, 2025)

Time-Varying Coverage Control: A Distributed Tracker-Planner MPC Framework - Patrick Benito Eberhard; Johannes Köhler; Oliver Hüsser; Melanie N. Zeilinger; Andrea Carron (CoRR, 2025)

A robust and adaptive MPC formulation for Gaussian process models - Mathieu Dubied; Amon Lahr; Melanie N. Zeilinger; Johannes Köhler (CoRR, 2025)

Stochastic Data-Driven Predictive Control: Chance-Constraint Satisfaction With Identified Multi-Step Predictors - Haldun Balim; Andrea Carron; Melanie N. Zeilinger; Johannes Köhler (IEEE Control. Syst. Lett., 2024)

Inherently Robust Suboptimal MPC for Autonomous Racing With Anytime Feasible SQP - Logan Numerow; Andrea Zanelli; Andrea Carron; Melanie N. Zeilinger (IEEE Robotics Autom. Lett., 2024)

Active Learning-Based Model Predictive Coverage Control - Rahel Rickenbach; Johannes Köhler; Anna Scampicchio; Melanie N. Zeilinger; Andrea Carron (IEEE Trans. Autom. Control., 2024)

A Soft Robotic Actuator System for In Vivo Modeling of Normal Pressure Hydrocephalus - 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 (IEEE Trans. Biomed. Eng., 2024)

Model-based Estimation of Ventricular Cerebrospinal Fluid Volume - Fabian Flürenbrock; Simon Muntwiler; Leonie Korn; Marianne Schmid Daners; Melanie N. Zeilinger (IEEE Conference on Control Technology and Applications, CCTA 2024, Newcastle upon Tyne, UK, August 21-23, 2024, 2024)

Model predictive control for tracking using artificial references: Fundamentals, recent results and practical implementation - Pablo Krupa; Johannes Köhler; Antonio Ferramosca; Ignacio Alvarado; Melanie Nicole Zeilinger; Teodoro Alamo; Daniel Limón (63rd IEEE Conference on Decision and Control, CDC 2024, Milan, Italy, December 16-19, 2024, 2024)

Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework - Manish Prajapat; Amon Lahr; Johannes Köhler; Andreas Krause; Melanie N. Zeilinger (63rd IEEE Conference on Decision and Control, CDC 2024, Milan, Italy, December 16-19, 2024, 2024)

Adaptive Economic Model Predictive Control for linear systems with performance guarantees - Maximilian Degner; Raffaele Soloperto; Melanie N. Zeilinger; John Lygeros; Johannes Köhler (63rd IEEE Conference on Decision and Control, CDC 2024, Milan, Italy, December 16-19, 2024, 2024)

Optimization-Based System Identification and Moving Horizon Estimation Using Low-Cost Sensors for a Miniature Car-Like Robot - Sabrina Bodmer; Lukas Vogel; Simon Muntwiler; Alexander Hansson; Tobias Bodewig; Jonas Wahlen; Melanie N. Zeilinger; Andrea Carron (63rd IEEE Conference on Decision and Control, CDC 2024, Milan, Italy, December 16-19, 2024, 2024)

Efficient Zero-Order Robust Optimization for Real-Time Model Predictive Control with acados - Jonathan Frey; Yunfan Gao; Florian Messerer; Amon Lahr; Melanie N. Zeilinger; Moritz Diehl (European Control Conference, ECC 2024, Stockholm, Sweden, June 25-28, 2024, 2024)

Submodular Reinforcement Learning - Manish Prajapat; Mojmir Mutny; Melanie N. Zeilinger; Andreas Krause (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer (\(Π\)-MPC) - Luis A. Pabon; Johannes Köhler; John Irvin Alora; Patrick Benito Eberhard; Andrea Carron; Melanie N. Zeilinger; Marco Pavone (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024, Abu Dhabi, United Arab Emirates, October 14-18, 2024, 2024)

Inverse optimal control as an errors-in-variables problem - Rahel Rickenbach; Anna Scampicchio; Melanie N. Zeilinger (6th Annual Learning for Dynamics & Control Conference, 15-17 July 2024, University of Oxford, Oxford, UK, 2024)

Probabilistic ODE solvers for integration error-aware numerical optimal control - Amon Lahr; Filip Tronarp; Nathanael Bosch; Jonathan Schmidt; Philipp Hennig; Melanie N. Zeilinger (6th Annual Learning for Dynamics & Control Conference, 15-17 July 2024, University of Oxford, Oxford, UK, 2024)

Understanding the Differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks - Jerome Sieber; Carmen Amo Alonso; Alexandre Didier; Melanie N. Zeilinger; Antonio Orvieto (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

MPCC++: Model Predictive Contouring Control for Time-Optimal Flight with Safety Constraints - Maria Krinner; Angel Romero; Leonard Bauersfeld; Melanie N. Zeilinger; Andrea Carron; Davide Scaramuzza (Robotics: Science and Systems XX, Delft, The Netherlands, July 15-19, 2024, 2024)

Inherently robust suboptimal MPC for autonomous racing with anytime feasible SQP - Logan Numerow; Andrea Zanelli; Andrea Carron; Melanie N. Zeilinger (CoRR, 2024)

Predictive stability filters for nonlinear dynamical systems affected by disturbances - Alexandre Didier; Andrea Zanelli; Kim Peter Wabersich; Melanie N. Zeilinger (CoRR, 2024)

Fast System Level Synthesis: Robust Model Predictive Control using Riccati Recursions - Antoine P. Leeman; Johannes Köhler; Florian Messerer; Amon Lahr; Moritz Diehl; Melanie N. Zeilinger (CoRR, 2024)

Safe Guaranteed Exploration for Non-linear Systems - Manish Prajapat; Johannes Köhler; Matteo Turchetta; Andreas Krause; Melanie N. Zeilinger (CoRR, 2024)

State Space Models as Foundation Models: A Control Theoretic Overview - Carmen Amo Alonso; Jerome Sieber; Melanie N. Zeilinger (CoRR, 2024)

Time-Optimal Flight with Safety Constraints and Data-driven Dynamics - Maria Krinner; Angel Romero; Leonard Bauersfeld; Melanie N. Zeilinger; Andrea Carron; Davide Scaramuzza (CoRR, 2024)

Adaptive Economic Model Predictive Control for linear systems with performance guarantees - Maximilian Degner; Raffaele Soloperto; Melanie N. Zeilinger; John Lygeros; Johannes Köhler (CoRR, 2024)

Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer (\(Π\)-MPC) - Luis A. Pabon; Johannes Köhler; John Irvin Alora; Patrick Benito Eberhard; Andrea Carron; Melanie N. Zeilinger; Marco Pavone (CoRR, 2024)

Stochastic Online Optimization for Cyber-Physical and Robotic Systems - Hao Ma; Melanie N. Zeilinger; Michael Muehlebach (CoRR, 2024)

Optimization-Based System Identification and Moving Horizon Estimation Using Low-Cost Sensors for a Miniature Car-Like Robot - Sabrina Bodmer; Lukas Vogel; Simon Muntwiler; Alexander Hansson; Tobias Bodewig; Jonas Wahlen; Melanie N. Zeilinger; Andrea Carron (CoRR, 2024)

Understanding the differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks - Jerome Sieber; Carmen Amo Alonso; Alexandre Didier; Melanie N. Zeilinger; Antonio Orvieto (CoRR, 2024)

Model predictive control for tracking using artificial references: Fundamentals, recent results and practical implementation - Pablo Krupa; Johannes Köhler; Antonio Ferramosca; Ignacio Alvarado; Melanie N. Zeilinger; Teodoro Alamo; Daniel Limón (CoRR, 2024)

Computationally Efficient System Level Tube-MPC for Uncertain Systems - Jerome Sieber; Alexandre Didier; Melanie N. Zeilinger (CoRR, 2024)

Predictive control for nonlinear stochastic systems: Closed-loop guarantees with unbounded noise - Johannes Köhler; Melanie N. Zeilinger (CoRR, 2024)

From Data to Predictive Control: A Framework for Stochastic Linear Systems with Output Measurements - Haldun Balim; Andrea Carron; Melanie N. Zeilinger; Johannes Köhler (CoRR, 2024)

Data-driven control of input-affine systems: the role of the signature transform - Anna Scampicchio; Melanie N. Zeilinger (CoRR, 2024)

Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework - Manish Prajapat; Amon Lahr; Johannes Köhler; Andreas Krause; Melanie N. Zeilinger (CoRR, 2024)

Stochastic Data-Driven Predictive Control: Chance-Constraint Satisfaction with Identified Multi-step Predictors - Haldun Balim; Andrea Carron; Melanie N. Zeilinger; Johannes Köhler (CoRR, 2024)

Lambda-Skip Connections: the architectural component that prevents Rank Collapse - Federico Arangath Joseph; Jerome Sieber; Melanie N. Zeilinger; Carmen Amo Alonso (CoRR, 2024)

Approximate predictive control barrier function for discrete-time systems - Alexandre Didier; Melanie N. Zeilinger (CoRR, 2024)

Moving Horizon Estimation for Simultaneous Localization and Mapping with Robust Estimation Error Bounds - Jelena Trisovic; Alexandre Didier; Simon Muntwiler; Melanie N. Zeilinger (CoRR, 2024)

L4acados: Learning-based models for acados, applied to Gaussian process-based predictive control - Amon Lahr; Joshua Näf; Kim Peter Wabersich; Jonathan Frey; Pascal Siehl; Andrea Carron; Moritz Diehl; Melanie N. Zeilinger (CoRR, 2024)

Adaptive Economic Model Predictive Control: Performance Guarantees for Nonlinear Systems - Maximilian Degner; Raffaele Soloperto; Melanie N. Zeilinger; John Lygeros; Johannes Köhler (CoRR, 2024)

Robust adaptive MPC using control contraction metrics - András Sasfi; Melanie N. Zeilinger; Johannes Köhler (Autom., 2023)

Guest Editorial Introduction to the IEEE Control Systems Letters Special Section on Data-Driven Analysis and Control - M. Kanat Camlibel; Martin Guay; Sophie Tarbouriech; Simone Baldi; Timm Faulwasser; Francesco Ferrante; Paolo Rapisarda; Henk J. van Waarde; Melanie N. Zeilinger (IEEE Control. Syst. Lett., 2023)

Error Analysis of Regularized Trigonometric Linear Regression With Unbounded Sampling: A Statistical Learning Viewpoint - Anna Scampicchio; Elena Arcari; Melanie N. Zeilinger (IEEE Control. Syst. Lett., 2023)

Homothetic Tube Model Predictive Control With Multi-Step Predictors - Danilo Saccani; Giancarlo Ferrari-Trecate; Melanie N. Zeilinger; Johannes Köhler (IEEE Control. Syst. Lett., 2023)

Zero-order optimization for Gaussian process-based model predictive control - Amon Lahr; Andrea Zanelli; Andrea Carron; Melanie N. Zeilinger (Eur. J. Control, 2023)

Bayesian Multi-Task Learning MPC for Robotic Mobile Manipulation - Elena Arcari; Maria Vittoria Minniti; Anna Scampicchio; Andrea Carron; Farbod Farshidian; Marco Hutter; Melanie N. Zeilinger (IEEE Robotics Autom. Lett., 2023)

Predictive Control Barrier Functions: Enhanced Safety Mechanisms for Learning-Based Control - Kim Peter Wabersich; Melanie N. Zeilinger (IEEE Trans. Autom. Control., 2023)

Cautious Bayesian MPC: Regret Analysis and Bounds on the Number of Unsafe Learning Episodes - Kim Peter Wabersich; Melanie N. Zeilinger (IEEE Trans. Autom. Control., 2023)

Stability and Performance Analysis of NMPC: Detectable Stage Costs and General Terminal Costs - Johannes Köhler; Melanie N. Zeilinger; Lars Grüne (IEEE Trans. Autom. Control., 2023)

A Lyapunov Function for Robust Stability of Moving Horizon Estimation - Julian D. Schiller; Simon Muntwiler; Johannes Köhler; Melanie N. Zeilinger; Matthias Albrecht Müller (IEEE Trans. Autom. Control., 2023)

Stochastic MPC With Robustness to Bounded Parameteric Uncertainty - Elena Arcari; Andrea Iannelli; Andrea Carron; Melanie N. Zeilinger (IEEE Trans. Autom. Control., 2023)

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems - 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; et al. (American Control Conference, ACC 2023, San Diego, CA, USA, May 31 - June 2, 2023, 2023)

Model Predictive Control for Multi-Agent Systems Under Limited Communication and Time-Varying Network Topology - Danilo Saccani; Lorenzo Fagiano; Melanie N. Zeilinger; Andrea Carron (62nd IEEE Conference on Decision and Control, CDC 2023, Singapore, December 13-15, 2023, 2023)

Robust Optimal Control for Nonlinear Systems with Parametric Uncertainties via System Level Synthesis - Antoine P. Leeman; Jérôme Sieber; Samir Bennani; Melanie N. Zeilinger (62nd IEEE Conference on Decision and Control, CDC 2023, Singapore, December 13-15, 2023, 2023)

Robust Nonlinear Reduced-Order Model Predictive Control - John Irvin Alora; Luis A. Pabon; Johannes Köhler; Mattia Cenedese; Edward Schmerling; Melanie N. Zeilinger; George Haller; Marco Pavone (62nd IEEE Conference on Decision and Control, CDC 2023, Singapore, December 13-15, 2023, 2023)

On Stochastic MPC Formulations with Closed-Loop Guarantees: Analysis and a Unifying Framework - Johannes Köhler; Ferdinand Geuss; Melanie N. Zeilinger (62nd IEEE Conference on Decision and Control, CDC 2023, Singapore, December 13-15, 2023, 2023)

Approximate Predictive Control Barrier Functions using Neural Networks: A Computationally Cheap and Permissive Safety Filter - Alexandre Didier; Robin C. Jacobs; Jerome Sieber; Kim Peter Wabersich; Melanie N. Zeilinger (European Control Conference, ECC 2023, Bucharest, Romania, June 13-16, 2023, 2023)

LQG for Constrained Linear Systems: Indirect Feedback Stochastic MPC with Kalman Filtering - Simon Muntwiler; Kim Peter Wabersich; Robert Miklos; Melanie N. Zeilinger (European Control Conference, ECC 2023, Bucharest, Romania, June 13-16, 2023, 2023)

Chronos and CRS: Design of a miniature car-like robot and a software framework for single and multi-agent robotics and control - Andrea Carron; Sabrina Bodmer; Lukas Vogel; René Zurbrügg; David Helm; Rahel Rickenbach; Simon Muntwiler; Jerome Sieber; Melanie N. Zeilinger (IEEE International Conference on Robotics and Automation, ICRA 2023, London, UK, May 29 - June 2, 2023, 2023)

Predictive safety filter using system level synthesis - Antoine Leeman; Johannes Köhler; Samir Bennani; Melanie N. Zeilinger (Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA, 2023)

Time Dependent Inverse Optimal Control using Trigonometric Basis Functions - Rahel Rickenbach; Elena Arcari; Melanie N. Zeilinger (Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA, 2023)

Supplementary dataset for paper: "Approximate non-linear model predictive control with safety-augmented neural networks" (Version v-0.1) - Henrik Hose; Johannes Köhler; Melanie N. Zeilinger; Sebastian Trimpe (Zenodo, 2023)
Accessed on YYYY-MM-DD.

Robust Nonlinear Optimal Control via System Level Synthesis - Antoine P. Leeman; Johannes Köhler; Andrea Zanelli; Samir Bennani; Melanie N. Zeilinger (CoRR, 2023)

Multi-agent Distributed Model Predictive Control with Connectivity Constraint - Andrea Carron; Danilo Saccani; Lorenzo Fagiano; Melanie N. Zeilinger (CoRR, 2023)

Active Learning-based Model Predictive Coverage Control - Rahel Rickenbach; Johannes Köhler; Anna Scampicchio; Melanie N. Zeilinger; Andrea Carron (CoRR, 2023)

On stochastic MPC formulations with closed-loop guarantees: Analysis and a unifying framework - Johannes Köhler; Ferdinand Geuss; Melanie N. Zeilinger (CoRR, 2023)

Robust Optimal Control for Nonlinear Systems with Parametric Uncertainties via System Level Synthesis - Antoine P. Leeman; Jerome Sieber; Samir Bennani; Melanie N. Zeilinger (CoRR, 2023)

Model Predictive Control for Multi-Agent Systems under Limited Communication and Time-Varying Network Topology - Danilo Saccani; Lorenzo Fagiano; Melanie N. Zeilinger; Andrea Carron (CoRR, 2023)

Approximate non-linear model predictive control with safety-augmented neural networks - Henrik Hose; Johannes Köhler; Melanie N. Zeilinger; Sebastian Trimpe (CoRR, 2023)

Time Dependent Inverse Optimal Control using Trigonometric Basis Functions - Rahel Rickenbach; Elena Arcari; Melanie N. Zeilinger (CoRR, 2023)

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems - 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; et al. (CoRR, 2023)

Submodular Reinforcement Learning - Manish Prajapat; Mojmír Mutný; Melanie N. Zeilinger; Andreas Krause (CoRR, 2023)

Robust Nonlinear Reduced-Order Model Predictive Control - John Irvin Alora; Luis A. Pabon; Johannes Köhler; Mattia Cenedese; Edward Schmerling; Melanie N. Zeilinger; George Haller; Marco Pavone (CoRR, 2023)

Homothetic tube model predictive control with multi-step predictors - Danilo Saccani; Giancarlo Ferrari-Trecate; Melanie N. Zeilinger; Johannes Köhler (CoRR, 2023)

A Stiffness-Oriented Model Order Reduction Method for Low-Inertia Power Systems - Simon Muntwiler; Ognjen Stanojev; Andrea Zanelli; Gabriela Hug; Melanie N. Zeilinger (CoRR, 2023)

Inverse Optimal Control as an Errors-in-Variables Problem - Rahel Rickenbach; Anna Scampicchio; Melanie N. Zeilinger (CoRR, 2023)

Automatic nonlinear MPC approximation with closed-loop guarantees - Abdullah Tokmak; Christian Fiedler; Melanie N. Zeilinger; Sebastian Trimpe; Johannes Köhler (CoRR, 2023)

Nonlinear Functional Estimation: Functional Detectability and Full Information Estimation - Simon Muntwiler; Johannes Köhler; Melanie N. Zeilinger (CoRR, 2023)

MHE under parametric uncertainty - Robust state estimation without informative data - Simon Muntwiler; Johannes Köhler; Melanie N. Zeilinger (CoRR, 2023)

A System Level Approach to Tube-Based Model Predictive Control - Jerome Sieber; Samir Bennani; Melanie N. Zeilinger (IEEE Control. Syst. Lett., 2022)

A Soft Constrained MPC Formulation Enabling Learning From Trajectories With Constraint Violations - Kim Peter Wabersich; Raamadaas Krishnadas; Melanie N. Zeilinger (IEEE Control. Syst. Lett., 2022)

Recursively Feasible Stochastic Predictive Control Using an Interpolating Initial State Constraint - Johannes Köhler; Melanie N. Zeilinger (IEEE Control. Syst. Lett., 2022)

A System Level Approach to Regret Optimal Control - Alexandre Didier; Jerome Sieber; Melanie N. Zeilinger (IEEE Control. Syst. Lett., 2022)

System level disturbance reachable sets and their application to tube-based MPC - Jerome Sieber; Andrea Zanelli; Samir Bennani; Melanie N. Zeilinger (Eur. J. Control, 2022)

Probabilistic Model Predictive Safety Certification for Learning-Based Control - Kim Peter Wabersich; Lukas Hewing; Andrea Carron; Melanie N. Zeilinger (IEEE Trans. Autom. Control., 2022)

Fusion of Machine Learning and MPC under Uncertainty: What Advances Are on the Horizon? - Ali Mesbah; Kim Peter Wabersich; Angela P. Schoellig; Melanie N. Zeilinger; Sergio Lucia; Thomas A. Badgwell; Joel A. Paulson (American Control Conference, ACC 2022, Atlanta, GA, USA, June 8-10, 2022, 2022)

State space models vs. multi-step predictors in predictive control: Are state space models complicating safe data-driven designs? - Johannes Köhler; Kim Peter Wabersich; Julian Berberich; Melanie N. Zeilinger (61st IEEE Conference on Decision and Control, CDC 2022, Cancun, Mexico, December 6-9, 2022, 2022)

A Feasible Sequential Linear Programming Algorithm with Application to Time-Optimal Path Planning Problems - David Kiessling; Andrea Zanelli; Armin Nurkanovic; Joris Gillis; Moritz Diehl; Melanie N. Zeilinger; Goele Pipeleers; Jan Swevers (61st IEEE Conference on Decision and Control, CDC 2022, Cancun, Mexico, December 6-9, 2022, 2022)

On-Policy Model Errors in Reinforcement Learning - Lukas P. Fröhlich; Maksym Lefarov; Melanie N. Zeilinger; Felix Berkenkamp (The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, 2022)

Contextual Tuning of Model Predictive Control for Autonomous Racing - Lukas P. Fröhlich; Christian Küttel; Elena Arcari; Lukas Hewing; Melanie N. Zeilinger; Andrea Carron (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, Japan, October 23-27, 2022, 2022)

Learning-based Moving Horizon Estimation through Differentiable Convex Optimization Layers - Simon Muntwiler; Kim Peter Wabersich; Melanie N. Zeilinger (Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA, 2022)

Near-Optimal Multi-Agent Learning for Safe Coverage Control - Manish Prajapat; Matteo Turchetta; Melanie N. Zeilinger; Andreas Krause (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

A Lyapunov function for robust stability of moving horizon estimation - Julian D. Schiller; Simon Muntwiler; Johannes Köhler; Melanie N. Zeilinger; Matthias A. Müller (CoRR, 2022)

A System Level Approach to Regret Optimal Control - Alexandre Didier; Jerome Sieber; Melanie N. Zeilinger (CoRR, 2022)

Recursively feasible stochastic predictive control using an interpolating initial state constraint - extended version - Johannes Köhler; Melanie N. Zeilinger (CoRR, 2022)

State space models vs. multi-step predictors in predictive control: Are state space models complicating safe data-driven designs? - Johannes Köhler; Kim Peter Wabersich; Julian Berberich; Melanie N. Zeilinger (CoRR, 2022)

Stochastic MPC with robustness to bounded parametric uncertainty - Elena Arcari; Andrea Iannelli; Andrea Carron; Melanie N. Zeilinger (CoRR, 2022)

Globally stable and locally optimal model predictive control using a softened initial state constraint - extended version - Johannes Köhler; Melanie N. Zeilinger (CoRR, 2022)

Robust adaptive MPC using control contraction metrics - András Sasfi; Melanie N. Zeilinger; Johannes Köhler (CoRR, 2022)

Chronos and CRS: Design of a miniature car-like robot and a software framework for single and multi-agent robotics and control - Andrea Carron; Sabrina Bodmer; Lukas Vogel; René Zurbrügg; David Helm; Rahel Rickenbach; Simon Muntwiler; Jerome Sieber; Melanie N. Zeilinger (CoRR, 2022)

Near-Optimal Multi-Agent Learning for Safe Coverage Control - Manish Prajapat; Matteo Turchetta; Melanie N. Zeilinger; Andreas Krause (CoRR, 2022)

Generalised Regret Optimal Controller Synthesis for Constrained Systems - Alexandre Didier; Melanie N. Zeilinger (CoRR, 2022)

Bayesian Multi-Task Learning MPC for Robotic Mobile Manipulation - Elena Arcari; Maria Vittoria Minniti; Anna Scampicchio; Andrea Carron; Farbod Farshidian; Marco Hutter; Melanie N. Zeilinger (CoRR, 2022)

Asynchronous Computation of Tube-based Model Predictive Control - Jerome Sieber; Andrea Zanelli; Samir Bennani; Melanie N. Zeilinger (CoRR, 2022)

Approximate Predictive Control Barrier Functions using Neural Networks: A Computationally Cheap and Permissive Safety Filter - Alexandre Didier; Robin C. Jacobs; Jerome Sieber; Kim Peter Wabersich; Melanie N. Zeilinger (CoRR, 2022)

LQG for Constrained Linear Systems: Indirect Feedback Stochastic MPC with Kalman Filtering - Simon Muntwiler; Kim Peter Wabersich; Robert Miklos; Melanie N. Zeilinger (CoRR, 2022)

Predictive safety filter using system level synthesis - Antoine P. Leeman; Johannes Köhler; Samir Bennani; Melanie N. Zeilinger (CoRR, 2022)

A predictive safety filter for learning-based control of constrained nonlinear dynamical systems - Kim Peter Wabersich; Melanie N. Zeilinger (Autom., 2021)

Interaction-Aware Motion Prediction for Autonomous Driving: A Multiple Model Kalman Filtering Scheme - Vasileios Lefkopoulos; Marcel Menner; Alexander Domahidi; Melanie N. Zeilinger (IEEE Robotics Autom. Lett., 2021)

A Predictive Safety Filter for Learning-Based Racing Control - Ben Tearle; Kim Peter Wabersich; Andrea Carron; Melanie N. Zeilinger (IEEE Robotics Autom. Lett., 2021)

Data-Driven Investigation of Gait Patterns in Individuals Affected by Normal Pressure Hydrocephalus - Kiran Kuruvithadam; Marcel Menner; William R. Taylor; Melanie N. Zeilinger; Lennart Stieglitz; Marianne Schmid Daners (Sensors, 2021)

Knee Compliance Reduces Peak Swing Phase Collision Forces in a Lower-Limb Exoskeleton Leg: A Test Bench Evaluation - Stefan O. Schrade; Marcel Menner; Camila Shirota; Peter Winiger; Alex Stutz; Melanie N. Zeilinger; Olivier Lambercy; Roger Gassert (IEEE Trans. Biomed. Eng., 2021)

Plug-and-Play Distributed Safety Verification for Linear Control Systems With Bounded Uncertainties - Andrea Carron; Kim Peter Wabersich; Melanie N. Zeilinger (IEEE Trans. Control. Netw. Syst., 2021)

Scalable Model Predictive Control for Autonomous Mobility-on-Demand Systems - Andrea Carron; Francesco Seccamonte; Claudio Ruch; Emilio Frazzoli; Melanie N. Zeilinger (IEEE Trans. Control. Syst. Technol., 2021)

Constrained Inverse Optimal Control With Application to a Human Manipulation Task - Marcel Menner; Peter Worsnop; Melanie N. Zeilinger (IEEE Trans. Control. Syst. Technol., 2021)

Inverse Learning for Data-Driven Calibration of Model-Based Statistical Path Planning - Marcel Menner; Karl Berntorp; Melanie N. Zeilinger; Stefano Di Cairano (IEEE Trans. Intell. Veh., 2021)

Adaptive Model Predictive Safety Certification for Learning-based Control - Alexandre Didier; Kim Peter Wabersich; Melanie N. Zeilinger (2021 60th IEEE Conference on Decision and Control (CDC), Austin, TX, USA, December 14-17, 2021, 2021)

Bayesian multi-task learning using finite-dimensional models: A comparative study - Elena Arcari; Anna Scampicchio; Andrea Carron; Melanie N. Zeilinger (2021 60th IEEE Conference on Decision and Control (CDC), Austin, TX, USA, December 14-17, 2021, 2021)

Data-Driven Distributed Stochastic Model Predictive Control with Closed-Loop Chance Constraint Satisfaction - Simon Muntwiler; Kim Peter Wabersich; Lukas Hewing; Melanie N. Zeilinger (2021 European Control Conference, ECC 2021, Virtual Event / Delft, The Netherlands, June 29 - July 2, 2021, 2021)

Volume Control of Low-Cost Ventilator with Automatic Set-Point Adaptation - Lukas Hewing; Marcel Menner; Nikolaos Tachatos; Marianne Schmid Daners; Cosima du Pasquier; Thomas S. Lumpe; Kristina Shea; Andrea Carron; Melanie N. Zeilinger (2021 European Control Conference, ECC 2021, Virtual Event / Delft, The Netherlands, June 29 - July 2, 2021, 2021)

Design, Optimal Guidance and Control of a Low-cost Re-usable Electric Model Rocket - Lukas Spannagl; Elias Hampp; Andrea Carron; Jerome Sieber; Carlo Alberto Pascucci; Aldo U. Zgraggen; Alexander Domahidi; Melanie N. Zeilinger (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021, Prague, Czech Republic, September 27 - Oct. 1, 2021, 2021)

Preface - Ali Jadbabaie; John Lygeros; George J. Pappas; Pablo A. Parrilo; Benjamin Recht; Claire J. Tomlin; Melanie N. Zeilinger (Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, L4DC 2021, 7-8 June 2021, Virtual Event, Switzerland, 2021)

Cautious Bayesian Optimization for Efficient and Scalable Policy Search - Lukas P. Fröhlich; Melanie N. Zeilinger; Edgar D. Klenske (Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, L4DC 2021, 7-8 June 2021, Virtual Event, Switzerland, 2021)

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 (PMLR, 2021)

A predictive safety filter for learning-based racing control - Ben Tearle; Kim Peter Wabersich; Andrea Carron; Melanie N. Zeilinger (CoRR, 2021)

Data-driven MIMO control of room temperature and bidirectional EV charging using deep reinforcement learning: simulation and experiments - Bratislav Svetozarevic; Christian Baumann; Simon Muntwiler; Loris Di Natale; Philipp Heer; Melanie N. Zeilinger (CoRR, 2021)

A System Level Approach to Robust Model Predictive Control - Jerome Sieber; Samir Bennani; Melanie N. Zeilinger (CoRR, 2021)

Design, Optimal Guidance and Control of a Low-cost Re-usable Electric Model Rocket - Lukas Spannagl; Elias Hampp; Andrea Carron; Jerome Sieber; Carlo Alberto Pascucci; Aldo U. Zgraggen; Alexander Domahidi; Melanie N. Zeilinger (CoRR, 2021)

Predictive control barrier functions: Enhanced safety mechanisms for learning-based control - Kim Peter Wabersich; Melanie N. Zeilinger (CoRR, 2021)

Learning-based Moving Horizon Estimation through Differentiable Convex Optimization Layers - Simon Muntwiler; Kim Peter Wabersich; Melanie N. Zeilinger (CoRR, 2021)

Adaptive Model Predictive Safety Certification for Learning-based Control - Extended Version - Alexandre Didier; Kim Peter Wabersich; Melanie N. Zeilinger (CoRR, 2021)

Model Learning and Contextual Controller Tuning for Autonomous Racing - Lukas P. Fröhlich; Christian Küttel; Elena Arcari; Lukas Hewing; Melanie N. Zeilinger; Andrea Carron (CoRR, 2021)

On-Policy Model Errors in Reinforcement Learning - Lukas P. Fröhlich; Maksym Lefarov; Melanie N. Zeilinger; Felix Berkenkamp (CoRR, 2021)

Stability and performance analysis of NMPC: Detectable stage costs and general terminal costs - Johannes Köhler; Melanie N. Zeilinger; Lars Grüne (CoRR, 2021)

System Level Disturbance Reachable Sets and their Application to Tube-based MPC - Jerome Sieber; Andrea Zanelli; Samir Bennani; Melanie N. Zeilinger (CoRR, 2021)

Learning-Based Model Predictive Control: Toward Safe Learning in Control - Lukas Hewing; Kim Peter Wabersich; Marcel Menner; Melanie N. Zeilinger (Annu. Rev. Control. Robotics Auton. Syst., 2020)

Recursively feasible stochastic model predictive control using indirect feedback - Lukas Hewing; Kim Peter Wabersich; Melanie N. Zeilinger (Autom., 2020)

Scenario-Based Probabilistic Reachable Sets for Recursively Feasible Stochastic Model Predictive Control - Lukas Hewing; Melanie N. Zeilinger (IEEE Control. Syst. Lett., 2020)

Cautious Model Predictive Control Using Gaussian Process Regression - Lukas Hewing; Juraj Kabzan; Melanie N. Zeilinger (IEEE Trans. Control. Syst. Technol., 2020)

Using Human Ratings for Feedback Control: A Supervised Learning Approach With Application to Rehabilitation Robotics - Marcel Menner; Lukas Neuner; Lars Lünenburger; Melanie N. Zeilinger (IEEE Trans. Robotics, 2020)

Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization - Lukas P. Fröhlich; Edgar D. Klenske; Julia Vinogradska; Christian Daniel; Melanie N. Zeilinger (The 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy], 2020)

Performance Analysis of Stochastic Model Predictive Control with Direct and Indirect Feedback - Lukas Hewing; Melanie N. Zeilinger (59th IEEE Conference on Decision and Control, CDC 2020, Jeju Island, South Korea, December 14-18, 2020, 2020)

On Simulation and Trajectory Prediction with Gaussian Process Dynamics - Lukas Hewing; Elena Arcari; Lukas P. Fröhlich; Melanie N. Zeilinger (Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, L4DC 2020, Online Event, Berkeley, CA, USA, 11-12 June 2020, 2020)

Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling - Kim Peter Wabersich; Melanie N. Zeilinger (Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, L4DC 2020, Online Event, Berkeley, CA, USA, 11-12 June 2020, 2020)

Dual Stochastic MPC for Systems with Parametric and Structural Uncertainty - Elena Arcari; Lukas Hewing; Max Schlichting; Melanie N. Zeilinger (Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, L4DC 2020, Online Event, Berkeley, CA, USA, 11-12 June 2020, 2020)

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 (PMLR, 2020)

Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection - Lukas P. Fröhlich; Edgar D. Klenske; Christian G. Daniel; Melanie N. Zeilinger (CoRR, 2020)

Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization - Lukas P. Fröhlich; Edgar D. Klenske; Julia Vinogradska; Christian Daniel; Melanie N. Zeilinger (CoRR, 2020)

Data-Driven Distributed Stochastic Model Predictive Control with Closed-Loop Chance Constraint Satisfaction - Simon Muntwiler; Kim Peter Wabersich; Lukas Hewing; Melanie N. Zeilinger (CoRR, 2020)

Maximum Likelihood Methods for Inverse Learning of Optimal Controllers - Marcel Menner; Melanie N. Zeilinger (CoRR, 2020)

Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling - Kim Peter Wabersich; Melanie N. Zeilinger (CoRR, 2020)

Performance and safety of Bayesian model predictive control: Scalable model-based RL with guarantees - Kim Peter Wabersich; Melanie N. Zeilinger (CoRR, 2020)

Distributed Safe Learning using an Invariance-based Safety Framework - Andrea Carron; Jerome Sieber; Melanie N. Zeilinger (CoRR, 2020)

Meta Learning MPC using Finite-Dimensional Gaussian Process Approximations - Elena Arcari; Andrea Carron; Melanie N. Zeilinger (CoRR, 2020)

Volume Control of Low-Cost Ventilator with Automatic Set-Point Adaptation - Lukas Hewing; Marcel Menner; Nikolaos Tachatos; Marianne Schmid Daners; Cosima du Pasquier; Thomas S. Lumpe; Kristina Shea; Andrea Carron; Melanie N. Zeilinger (CoRR, 2020)

Cautious Bayesian Optimization for Efficient and Scalable Policy Search - Lukas P. Fröhlich; Melanie N. Zeilinger; Edgar D. Klenske (CoRR, 2020)

Learning-Based Model Predictive Control for Autonomous Racing - Juraj Kabzan; Lukas Hewing; Alexander Liniger; Melanie N. Zeilinger (IEEE Robotics Autom. Lett., 2019)

Data-Driven Model Predictive Control for Trajectory Tracking With a Robotic Arm - Andrea Carron; Elena Arcari; Martin Wermelinger; Lukas Hewing; Marco Hutter; Melanie N. Zeilinger (IEEE Robotics Autom. Lett., 2019)

A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems - Jaime F. Fisac; Anayo K. Akametalu; Melanie N. Zeilinger; Shahab Kaynama; Jeremy H. Gillula; Claire J. Tomlin (IEEE Trans. Autom. Control., 2019)

Plug-and-Play Model Predictive Control for Load Shaping and Voltage Control in Smart Grids - Caroline Le Floch; Somil Bansal; Claire J. Tomlin; Scott J. Moura; Melanie N. Zeilinger (IEEE Trans. Smart Grid, 2019)

Inverse Learning for Human-Adaptive Motion Planning - Marcel Menner; Karl Berntorp; Melanie N. Zeilinger; Stefano Di Cairano (58th IEEE Conference on Decision and Control, CDC 2019, Nice, France, December 11-13, 2019, 2019)

Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection - Lukas P. Fröhlich; Edgar D. Klenske; Christian G. Daniel; Melanie N. Zeilinger (2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019, Macau, SAR, China, November 3-8, 2019, 2019)

Using Human Ratings for Feedback Control: A Supervised Learning Approach with Application to Rehabilitation Robotics - Marcel Menner; Lukas Neuner; Lars Lünenburger; Melanie N. Zeilinger (CoRR, 2019)

Probabilistic model predictive safety certification for learning-based control - Kim Peter Wabersich; Lukas Hewing; Andrea Carron; Melanie N. Zeilinger (CoRR, 2019)

Knee Compliance Reduces Peak Swing Phase Collision Forces in a Lower-Limb Exoskeleton Leg: A Test Bench Evaluation - Stefan O. Schrade; Marcel Menner; Camila Shirota; Peter Winiger; Alex Stutz; Melanie N. Zeilinger; Olivier Lambercy; Roger Gassert (CoRR, 2019)

Distributed Model Predictive Safety Certification for Learning-based Control - Simon Muntwiler; Kim Peter Wabersich; Andrea Carron; Melanie N. Zeilinger (CoRR, 2019)

An Approximate Dynamic Programming Approach for Dual Stochastic Model Predictive Control - Elena Arcari; Lukas Hewing; Melanie N. Zeilinger (CoRR, 2019)

Dual Stochastic MPC for Systems with Parametric and Structural Uncertainty - Elena Arcari; Lukas Hewing; Max Schlichting; Melanie N. Zeilinger (CoRR, 2019)

On Simulation and Trajectory Prediction with Gaussian Process Dynamics - Lukas Hewing; Elena Arcari; Lukas P. Fröhlich; Melanie N. Zeilinger (CoRR, 2019)

Stochastic Model Predictive Control for Linear Systems Using Probabilistic Reachable Sets - Lukas Hewing; Melanie N. Zeilinger (57th IEEE Conference on Decision and Control, CDC 2018, Miami, FL, USA, December 17-19, 2018, 2018)

Linear Model Predictive Safety Certification for Learning-Based Control - Kim Peter Wabersich; Melanie N. Zeilinger (57th IEEE Conference on Decision and Control, CDC 2018, Miami, FL, USA, December 17-19, 2018, 2018)

Cautious NMPC with Gaussian Process Dynamics for Autonomous Miniature Race Cars - Lukas Hewing; Alexander Liniger; Melanie N. Zeilinger (16th European Control Conference, ECC 2018, Limassol, Cyprus, June 12-15, 2018, 2018)

On a Correspondence between Probabilistic and Robust Invariant Sets for Linear Systems - Lukas Hewing; Andrea Carron; Kim Peter Wabersich; Melanie N. Zeilinger (16th European Control Conference, ECC 2018, Limassol, Cyprus, June 12-15, 2018, 2018)

Scalable synthesis of safety certificates from data with application to learning-based control - Kim Peter Wabersich; Melanie N. Zeilinger (16th European Control Conference, ECC 2018, Limassol, Cyprus, June 12-15, 2018, 2018)

A User Comfort Model and Index Policy for Personalizing Discrete Controller Decisions - Marcel Menner; Melanie N. Zeilinger (16th European Control Conference, ECC 2018, Limassol, Cyprus, June 12-15, 2018, 2018)

Convex Formulations and Algebraic Solutions for Linear Quadratic Inverse Optimal Control Problems - Marcel Menner; Melanie N. Zeilinger (16th European Control Conference, ECC 2018, Limassol, Cyprus, June 12-15, 2018, 2018)

Linear model predictive safety certification for learning-based control - Kim Peter Wabersich; Melanie N. Zeilinger (CoRR, 2018)

Stochastic Model Predictive Control for Linear Systems using Probabilistic Reachable Sets - Lukas Hewing; Melanie N. Zeilinger (CoRR, 2018)

Safe exploration of nonlinear dynamical systems: A predictive safety filter for reinforcement learning - Kim Peter Wabersich; Melanie N. Zeilinger (CoRR, 2018)

Recursively Feasible Stochastic Model Predictive Control using Indirect Feedback - Lukas Hewing; Kim Peter Wabersich; Melanie N. Zeilinger (CoRR, 2018)

Predictive Modeling by Infinite-Horizon Constrained Inverse Optimal Control with Application to a Human Manipulation Task - Marcel Menner; Peter Worsnop; Melanie N. Zeilinger (CoRR, 2018)

Complexity Certification of the Fast Alternating Minimization Algorithm for Linear MPC - Ye Pu; Melanie Nicole Zeilinger; Colin N. Jones (IEEE Trans. Autom. Control., 2017)

Quantization Design for Distributed Optimization - Ye Pu; Melanie Nicole Zeilinger; Colin N. Jones (IEEE Trans. Autom. Control., 2017)

A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems - Jaime F. Fisac; Anayo K. Akametalu; Melanie Nicole Zeilinger; Shahab Kaynama; Jeremy H. Gillula; Claire J. Tomlin (CoRR, 2017)

Cautious Model Predictive Control using Gaussian Process Regression - Lukas Hewing; Melanie N. Zeilinger (CoRR, 2017)

Cautious NMPC with Gaussian Process Dynamics for Miniature Race Cars - Lukas Hewing; Alexander Liniger; Melanie N. Zeilinger (CoRR, 2017)

Scalable synthesis of safety certificates from data with application to learning-based control - Kim Peter Wabersich; Melanie N. Zeilinger (CoRR, 2017)

Distributed synthesis and stability of cooperative distributed model predictive control for linear systems - Christian Conte; Colin N. Jones; Manfred Morari; Melanie Nicole Zeilinger (Autom., 2016)

MPC for Tracking Periodic References - Daniel Limón; Mario Pereira; David Muñoz de la Peña; Teodoro Alamo; Colin N. Jones; Melanie Nicole Zeilinger (IEEE Trans. Autom. Control., 2016)

Gaussian Process-Based Predictive Control for Periodic Error Correction - Edgar D. Klenske; Melanie Nicole Zeilinger; Bernhard Schölkopf; Philipp Hennig (IEEE Trans. Control. Syst. Technol., 2016)

Approximate dual control maintaining the value of information with an application to building control - Edgar D. Klenske; Philipp Hennig; Bernhard Schölkopf; Melanie Nicole Zeilinger (15th European Control Conference, ECC 2016, Aalborg, Denmark, June 29 - July 1, 2016, 2016)

Plug-and-Play Model Predictive Control for Load Shaping and Voltage Control in Smart Grids - Caroline Le Floch; Somil Bansal; Claire J. Tomlin; Scott J. Moura; Melanie Nicole Zeilinger (CoRR, 2016)

Constrained Spectrum Control - Jean-Hubert Hours; Melanie Nicole Zeilinger; Ravi Gondhalekar; Colin N. Jones (IEEE Trans. Autom. Control., 2015)

Quantization design for unconstrained distributed optimization - Ye Pu; Melanie Nicole Zeilinger; Colin N. Jones (American Control Conference, ACC 2015, Chicago, IL, USA, July 1-3, 2015, 2015)

Quantization design for distributed optimization with time-varying parameters - Ye Pu; Melanie Nicole Zeilinger; Colin N. Jones (54th IEEE Conference on Decision and Control, CDC 2015, Osaka, Japan, December 15-18, 2015, 2015)

Quantization Design for Distributed Optimization - Ye Pu; Melanie Nicole Zeilinger; Colin N. Jones (CoRR, 2015)

On real-time robust model predictive control - Melanie Nicole Zeilinger; Davide Martino Raimondo; Alexander Domahidi; Manfred Morari; Colin N. Jones (Autom., 2014)

Soft Constrained Model Predictive Control With Robust Stability Guarantees - Melanie Nicole Zeilinger; Manfred Morari; Colin N. Jones (IEEE Trans. Autom. Control., 2014)

Reachability-based safe learning with Gaussian processes - Anayo K. Akametalu; Shahab Kaynama; Jaime F. Fisac; Melanie Nicole Zeilinger; Jeremy H. Gillula; Claire J. Tomlin (53rd IEEE Conference on Decision and Control, CDC 2014, Los Angeles, CA, USA, December 15-17, 2014, 2014)

Utility learning model predictive control for personal electric loads - Insoon Yang; Melanie Nicole Zeilinger; Claire J. Tomlin (53rd IEEE Conference on Decision and Control, CDC 2014, Los Angeles, CA, USA, December 15-17, 2014, 2014)

Plug-and-play model predictive control for electric vehicle charging and voltage control in smart grids - Somil Bansal; Melanie Nicole Zeilinger; Claire J. Tomlin (53rd IEEE Conference on Decision and Control, CDC 2014, Los Angeles, CA, USA, December 15-17, 2014, 2014)

Inexact fast alternating minimization algorithm for distributed model predictive control - Ye Pu; Melanie Nicole Zeilinger; Colin N. Jones (53rd IEEE Conference on Decision and Control, CDC 2014, Los Angeles, CA, USA, December 15-17, 2014, 2014)

Nonparametric dynamics estimation for time periodic systems - Edgar D. Klenske; Melanie Nicole Zeilinger; Bernhard Schölkopf; Philipp Hennig (51st Annual Allerton Conference on Communication, Control, and Computing, Allerton 2013, Allerton Park & Retreat Center, Monticello, IL, USA, October 2-4, 2013, 2013)

Cooperative distributed tracking MPC for constrained linear systems: Theory and synthesis - Christian Conte; Melanie Nicole Zeilinger; Manfred Morari; Colin N. Jones (Proceedings of the 52nd IEEE Conference on Decision and Control, CDC 2013, Florence, Italy, December 10-13, 2013, 2013)

Plug and play distributed model predictive control based on distributed invariance and optimization - Melanie Nicole Zeilinger; Ye Pu; Stefano Riverso; Giancarlo Ferrari-Trecate; Colin N. Jones (Proceedings of the 52nd IEEE Conference on Decision and Control, CDC 2013, Florence, Italy, December 10-13, 2013, 2013)

Robust distributed model predictive control of linear systems - Christian Conte; Melanie N. Zeilinger; Manfred Morari; Colin N. Jones (12th European Control Conference, ECC 2013, Zurich, Switzerland, July 17-19, 2013, 2013)

Spectrogram-MPC: Enforcing hard constraints on systems' output spectra - Jean-Hubert Hours; Melanie Nicole Zeilinger; Ravi Gondhalekar; Colin N. Jones (American Control Conference, ACC 2012, Montreal, QC, Canada, June 27-29, 2012, 2012)

Distributed synthesis and control of constrained linear systems - Christian Conte; Niklaus R. Voellmy; Melanie Nicole Zeilinger; Manfred Morari; Colin N. Jones (American Control Conference, ACC 2012, Montreal, QC, Canada, June 27-29, 2012, 2012)

Efficient interior point methods for multistage problems arising in receding horizon control - Alexander Domahidi; Aldo U. Zgraggen; Melanie Nicole Zeilinger; Manfred Morari; Colin N. Jones (Proceedings of the 51th IEEE Conference on Decision and Control, CDC 2012, December 10-13, 2012, Maui, HI, USA, 2012)

Computational aspects of distributed optimization in model predictive control - Christian Conte; Tyler H. Summers; Melanie Nicole Zeilinger; Manfred Morari; Colin N. Jones (Proceedings of the 51th IEEE Conference on Decision and Control, CDC 2012, December 10-13, 2012, Maui, HI, USA, 2012)

Real-Time Suboptimal Model Predictive Control Using a Combination of Explicit MPC and Online Optimization - Melanie Nicole Zeilinger; Colin Neil Jones; Manfred Morari (IEEE Trans. Autom. Control., 2011)

Input-to-state stabilization of low-complexity model predictive controllers for linear systems - Georg Schildbach; Melanie Nicole Zeilinger; Manfred Morari; Colin N. Jones (50th IEEE Conference on Decision and Control and European Control Conference, 11th European Control Conference, CDC/ECC 2011, Orlando, FL, USA, December 12-15, 2011, 2011)

Learning a feasible and stabilizing explicit model predictive control law by robust optimization - Alexander Domahidi; Melanie Nicole Zeilinger; Manfred Morari; Colin N. Jones (50th IEEE Conference on Decision and Control and European Control Conference, 11th European Control Conference, CDC/ECC 2011, Orlando, FL, USA, December 12-15, 2011, 2011)

Robust stability properties of soft constrained MPC - Melanie Nicole Zeilinger; Colin N. Jones; Manfred Morari (Proceedings of the 49th IEEE Conference on Decision and Control, CDC 2010, December 15-17, 2010, Atlanta, Georgia, USA, 2010)

Real-time MPC - Stability through robust MPC design - Melanie Nicole Zeilinger; Colin N. Jones; Davide Martino Raimondo; Manfred Morari (Proceedings of the 48th IEEE Conference on Decision and Control, CDC 2009, combined withe the 28th Chinese Control Conference, December 16-18, 2009, Shanghai, China, 2009)

Real-time suboptimal model predictive control using a combination of explicit MPC and online optimization - Melanie Nicole Zeilinger; Colin N. Jones; Manfred Morari (Proceedings of the 47th IEEE Conference on Decision and Control, CDC 2008, December 9-11, 2008, Cancún, Mexico, 2008)

Controller complexity reduction for piecewise affine systems through safe region elimination - Frank J. Christophersen; Melanie Nicole Zeilinger; Colin N. Jones; Manfred Morari (46th IEEE Conference on Decision and Control, CDC 2007, New Orleans, LA, USA, December 12-14, 2007, 2007)