default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMelanie Nicole Zeilinger
Melanie N. Zeilinger
Person information
- affiliation: ETH Zurich, Switzerland
SPARQL queries 
🛈 Please note that only 72% of the records listed on this page have a DOI. Therefore, DOI-based queries can only provide partial results.
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j48]Simon Muntwiler, Johannes Köhler, Melanie N. Zeilinger:
Nonlinear functional estimation: Functional detectability and full information estimation. Autom. 171: 111945 (2025)- 2024
- [j47]Logan Numerow, Andrea Zanelli, Andrea Carron
, Melanie N. Zeilinger:
Inherently Robust Suboptimal MPC for Autonomous Racing With Anytime Feasible SQP. IEEE Robotics Autom. Lett. 9(7): 6616-6623 (2024) - [j46]Rahel Rickenbach, Johannes Köhler, Anna Scampicchio, Melanie N. Zeilinger, Andrea Carron:
Active Learning-Based Model Predictive Coverage Control. IEEE Trans. Autom. Control. 69(9): 5931-5946 (2024) - [j45]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:
A Soft Robotic Actuator System for In Vivo Modeling of Normal Pressure Hydrocephalus. IEEE Trans. Biomed. Eng. 71(3): 998-1009 (2024) - [c64]Fabian Flürenbrock, Simon Muntwiler, Leonie Korn, Marianne Schmid Daners, Melanie N. Zeilinger:
Model-based Estimation of Ventricular Cerebrospinal Fluid Volume. CCTA 2024: 302-309 - [c63]Jonathan Frey, Yunfan Gao, Florian Messerer, Amon Lahr, Melanie N. Zeilinger, Moritz Diehl:
Efficient Zero-Order Robust Optimization for Real-Time Model Predictive Control with acados. ECC 2024: 3470-3475 - [c62]Manish Prajapat, Mojmir Mutny, Melanie N. Zeilinger, Andreas Krause:
Submodular Reinforcement Learning. ICLR 2024 - [c61]Rahel Rickenbach, Anna Scampicchio, Melanie N. Zeilinger:
Inverse optimal control as an errors-in-variables problem. L4DC 2024: 375-386 - [c60]Amon Lahr, Filip Tronarp, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig, Melanie N. Zeilinger:
Probabilistic ODE solvers for integration error-aware numerical optimal control. L4DC 2024: 1018-1032 - [i90]Logan Numerow, Andrea Zanelli, Andrea Carron, Melanie N. Zeilinger:
Inherently robust suboptimal MPC for autonomous racing with anytime feasible SQP. CoRR abs/2401.02194 (2024) - [i89]Alexandre Didier, Andrea Zanelli, Kim Peter Wabersich, Melanie N. Zeilinger:
Predictive stability filters for nonlinear dynamical systems affected by disturbances. CoRR abs/2401.11183 (2024) - [i88]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 abs/2401.13762 (2024) - [i87]Manish Prajapat, Johannes Köhler, Matteo Turchetta, Andreas Krause, Melanie N. Zeilinger:
Safe Guaranteed Exploration for Non-linear Systems. CoRR abs/2402.06562 (2024) - [i86]Carmen Amo Alonso, Jerome Sieber, Melanie N. Zeilinger:
State Space Models as Foundation Models: A Control Theoretic Overview. CoRR abs/2403.16899 (2024) - [i85]Maria Krinner, Angel Romero, Leonard Bauersfeld, Melanie N. Zeilinger, Andrea Carron, Davide Scaramuzza:
Time-Optimal Flight with Safety Constraints and Data-driven Dynamics. CoRR abs/2403.17551 (2024) - [i84]Maximilian Degner, Raffaele Soloperto, Melanie N. Zeilinger, John Lygeros, Johannes Köhler:
Adaptive Economic Model Predictive Control for linear systems with performance guarantees. CoRR abs/2403.18398 (2024) - [i83]Luis A. Pabon, Johannes Köhler, John Irvin Alora, Patrick Benito Eberhard, Andrea Carron, Melanie N. Zeilinger, Marco Pavone:
Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer (Π-MPC). CoRR abs/2404.01550 (2024) - [i82]Hao Ma, Melanie N. Zeilinger, Michael Muehlebach:
Stochastic Online Optimization for Cyber-Physical and Robotic Systems. CoRR abs/2404.05318 (2024) - [i81]Sabrina Bodmer, Lukas Vogel, Simon Muntwiler, Alexander Hansson, Tobias Bodewig, Jonas Wahlen, Melanie N. Zeilinger, Andrea Carron:
Optimization-Based System Identification and Moving Horizon Estimation Using Low-Cost Sensors for a Miniature Car-Like Robot. CoRR abs/2404.08362 (2024) - [i80]Jerome Sieber, Carmen Amo Alonso, Alexandre Didier, Melanie N. Zeilinger, Antonio Orvieto:
Understanding the differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks. CoRR abs/2405.15731 (2024) - [i79]Pablo Krupa, Johannes Köhler, Antonio Ferramosca, Ignacio Alvarado, Melanie N. Zeilinger, Teodoro Alamo, Daniel Limón:
Model predictive control for tracking using artificial references: Fundamentals, recent results and practical implementation. CoRR abs/2406.06157 (2024) - [i78]Jerome Sieber, Alexandre Didier, Melanie N. Zeilinger:
Computationally Efficient System Level Tube-MPC for Uncertain Systems. CoRR abs/2406.12573 (2024) - [i77]Johannes Köhler, Melanie N. Zeilinger:
Predictive control for nonlinear stochastic systems: Closed-loop guarantees with unbounded noise. CoRR abs/2407.13257 (2024) - [i76]Haldun Balim, Andrea Carron, Melanie N. Zeilinger, Johannes Köhler:
From Data to Predictive Control: A Framework for Stochastic Linear Systems with Output Measurements. CoRR abs/2407.17277 (2024) - [i75]Anna Scampicchio, Melanie N. Zeilinger:
Data-driven control of input-affine systems: the role of the signature transform. CoRR abs/2409.05685 (2024) - [i74]Manish Prajapat, Amon Lahr, Johannes Köhler, Andreas Krause, Melanie N. Zeilinger:
Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework. CoRR abs/2409.08616 (2024) - [i73]Haldun Balim, Andrea Carron, Melanie N. Zeilinger, Johannes Köhler:
Stochastic Data-Driven Predictive Control: Chance-Constraint Satisfaction with Identified Multi-step Predictors. CoRR abs/2409.10405 (2024) - [i72]Federico Arangath Joseph, Jerome Sieber, Melanie N. Zeilinger, Carmen Amo Alonso:
Lambda-Skip Connections: the architectural component that prevents Rank Collapse. CoRR abs/2410.10609 (2024) - 2023
- [j44]András Sasfi, Melanie N. Zeilinger, Johannes Köhler:
Robust adaptive MPC using control contraction metrics. Autom. 155: 111169 (2023) - [j43]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: 1596-1597 (2023) - [j42]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: 3066-3071 (2023) - [j41]Danilo Saccani, Giancarlo Ferrari-Trecate, Melanie N. Zeilinger, Johannes Köhler:
Homothetic Tube Model Predictive Control With Multi-Step Predictors. IEEE Control. Syst. Lett. 7: 3561-3566 (2023) - [j40]Amon Lahr, Andrea Zanelli, Andrea Carron, Melanie N. Zeilinger:
Zero-order optimization for Gaussian process-based model predictive control. Eur. J. Control 74: 100862 (2023) - [j39]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): 3222-3229 (2023) - [j38]Kim Peter Wabersich, Melanie N. Zeilinger:
Predictive Control Barrier Functions: Enhanced Safety Mechanisms for Learning-Based Control. IEEE Trans. Autom. Control. 68(5): 2638-2651 (2023) - [j37]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): 4896-4903 (2023) - [j36]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): 6114-6129 (2023) - [j35]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): 7466-7481 (2023) - [j34]Elena Arcari, Andrea Iannelli, Andrea Carron, Melanie N. Zeilinger:
Stochastic MPC With Robustness to Bounded Parameteric Uncertainty. IEEE Trans. Autom. Control. 68(12): 7601-7615 (2023) - [c59]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: 3735-3750 - [c58]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: 3764-3769 - [c57]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: 4784-4791 - [c56]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: 4798-4805 - [c55]Johannes Köhler, Ferdinand Geuss, Melanie N. Zeilinger:
On Stochastic MPC Formulations with Closed-Loop Guarantees: Analysis and a Unifying Framework. CDC 2023: 6692-6699 - [c54]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: 1-7 - [c53]Simon Muntwiler, Kim Peter Wabersich, Robert Miklos, Melanie N. Zeilinger:
LQG for Constrained Linear Systems: Indirect Feedback Stochastic MPC with Kalman Filtering. ECC 2023: 1-7 - [c52]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: 1371-1378 - [c51]Antoine Leeman, Johannes Köhler, Samir Bennani, Melanie N. Zeilinger:
Predictive safety filter using system level synthesis. L4DC 2023: 1180-1192 - [c50]Rahel Rickenbach, Elena Arcari, Melanie N. Zeilinger:
Time Dependent Inverse Optimal Control using Trigonometric Basis Functions. L4DC 2023: 1193-1204 - [d1]Henrik Hose, Johannes Köhler, Melanie N. Zeilinger, Sebastian Trimpe:
Supplementary dataset for paper: "Approximate non-linear model predictive control with safety-augmented neural networks". Zenodo, 2023
- [i71]Antoine P. Leeman, Johannes Köhler, Andrea Zanelli, Samir Bennani, Melanie N. Zeilinger:
Robust Nonlinear Optimal Control via System Level Synthesis. CoRR abs/2301.04943 (2023) - [i70]Andrea Carron, Danilo Saccani, Lorenzo Fagiano, Melanie N. Zeilinger:
Multi-agent Distributed Model Predictive Control with Connectivity Constraint. CoRR abs/2303.06957 (2023) - [i69]Rahel Rickenbach, Johannes Köhler, Anna Scampicchio, Melanie N. Zeilinger, Andrea Carron:
Active Learning-based Model Predictive Coverage Control. CoRR abs/2303.09910 (2023) - [i68]Johannes Köhler, Ferdinand Geuss, Melanie N. Zeilinger:
On stochastic MPC formulations with closed-loop guarantees: Analysis and a unifying framework. CoRR abs/2304.00069 (2023) - [i67]Antoine P. Leeman, Jerome Sieber, Samir Bennani, Melanie N. Zeilinger:
Robust Optimal Control for Nonlinear Systems with Parametric Uncertainties via System Level Synthesis. CoRR abs/2304.00752 (2023) - [i66]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 abs/2304.01649 (2023) - [i65]Henrik Hose, Johannes Köhler, Melanie N. Zeilinger, Sebastian Trimpe:
Approximate non-linear model predictive control with safety-augmented neural networks. CoRR abs/2304.09575 (2023) - [i64]Rahel Rickenbach, Elena Arcari, Melanie N. Zeilinger:
Time Dependent Inverse Optimal Control using Trigonometric Basis Functions. CoRR abs/2306.02820 (2023) - [i63]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 abs/2306.13867 (2023) - [i62]Manish Prajapat, Mojmír Mutný, Melanie N. Zeilinger, Andreas Krause:
Submodular Reinforcement Learning. CoRR abs/2307.13372 (2023) - [i61]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 abs/2309.05746 (2023) - [i60]Danilo Saccani, Giancarlo Ferrari-Trecate, Melanie N. Zeilinger, Johannes Köhler:
Homothetic tube model predictive control with multi-step predictors. CoRR abs/2309.06591 (2023) - [i59]Simon Muntwiler, Ognjen Stanojev, Andrea Zanelli, Gabriela Hug, Melanie N. Zeilinger:
A Stiffness-Oriented Model Order Reduction Method for Low-Inertia Power Systems. CoRR abs/2310.10137 (2023) - [i58]Rahel Rickenbach, Anna Scampicchio, Melanie N. Zeilinger:
Inverse Optimal Control as an Errors-in-Variables Problem. CoRR abs/2312.03532 (2023) - [i57]Abdullah Tokmak, Christian Fiedler, Melanie N. Zeilinger, Sebastian Trimpe, Johannes Köhler:
Automatic nonlinear MPC approximation with closed-loop guarantees. CoRR abs/2312.10199 (2023) - [i56]Simon Muntwiler, Johannes Köhler, Melanie N. Zeilinger:
Nonlinear Functional Estimation: Functional Detectability and Full Information Estimation. CoRR abs/2312.13859 (2023) - [i55]Simon Muntwiler, Johannes Köhler, Melanie N. Zeilinger:
MHE under parametric uncertainty - Robust state estimation without informative data. CoRR abs/2312.14049 (2023) - 2022
- [j33]Jerome Sieber, Samir Bennani, Melanie N. Zeilinger:
A System Level Approach to Tube-Based Model Predictive Control. IEEE Control. Syst. Lett. 6: 776-781 (2022) - [j32]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: 980-985 (2022) - [j31]Johannes Köhler, Melanie N. Zeilinger:
Recursively Feasible Stochastic Predictive Control Using an Interpolating Initial State Constraint. IEEE Control. Syst. Lett. 6: 2743-2748 (2022) - [j30]Alexandre Didier, Jerome Sieber, Melanie N. Zeilinger:
A System Level Approach to Regret Optimal Control. IEEE Control. Syst. Lett. 6: 2792-2797 (2022) - [j29]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: 100680 (2022) - [j28]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): 176-188 (2022) - [c49]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: 342-357 - [c48]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: 491-498 - [c47]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: 1196-1203 - [c46]Lukas P. Fröhlich, Maksym Lefarov, Melanie N. Zeilinger, Felix Berkenkamp:
On-Policy Model Errors in Reinforcement Learning. ICLR 2022 - [c45]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: 10555-10562 - [c44]Simon Muntwiler, Kim Peter Wabersich, Melanie N. Zeilinger:
Learning-based Moving Horizon Estimation through Differentiable Convex Optimization Layers. L4DC 2022: 153-165 - [c43]Manish Prajapat, Matteo Turchetta, Melanie N. Zeilinger, Andreas Krause:
Near-Optimal Multi-Agent Learning for Safe Coverage Control. NeurIPS 2022 - [i54]Julian D. Schiller, Simon Muntwiler, Johannes Köhler, Melanie N. Zeilinger, Matthias A. Müller:
A Lyapunov function for robust stability of moving horizon estimation. CoRR abs/2202.12744 (2022) - [i53]Alexandre Didier, Jerome Sieber, Melanie N. Zeilinger:
A System Level Approach to Regret Optimal Control. CoRR abs/2202.13763 (2022) - [i52]Johannes Köhler, Melanie N. Zeilinger:
Recursively feasible stochastic predictive control using an interpolating initial state constraint - extended version. CoRR abs/2203.01073 (2022) - [i51]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 abs/2203.15471 (2022) - [i50]Elena Arcari, Andrea Iannelli, Andrea Carron, Melanie N. Zeilinger:
Stochastic MPC with robustness to bounded parametric uncertainty. CoRR abs/2205.10275 (2022) - [i49]Johannes Köhler, Melanie N. Zeilinger:
Globally stable and locally optimal model predictive control using a softened initial state constraint - extended version. CoRR abs/2207.10216 (2022) - [i48]András Sasfi, Melanie N. Zeilinger, Johannes Köhler:
Robust adaptive MPC using control contraction metrics. CoRR abs/2209.11713 (2022) - [i47]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 abs/2209.12048 (2022) - [i46]Manish Prajapat, Matteo Turchetta, Melanie N. Zeilinger, Andreas Krause:
Near-Optimal Multi-Agent Learning for Safe Coverage Control. CoRR abs/2210.06380 (2022) - [i45]Alexandre Didier, Melanie N. Zeilinger:
Generalised Regret Optimal Controller Synthesis for Constrained Systems. CoRR abs/2211.08101 (2022) - [i44]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 abs/2211.10270 (2022) - [i43]Jerome Sieber, Andrea Zanelli, Samir Bennani, Melanie N. Zeilinger:
Asynchronous Computation of Tube-based Model Predictive Control. CoRR abs/2211.13725 (2022) - [i42]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 abs/2211.15104 (2022) - [i41]Simon Muntwiler, Kim Peter Wabersich, Robert Miklos, Melanie N. Zeilinger:
LQG for Constrained Linear Systems: Indirect Feedback Stochastic MPC with Kalman Filtering. CoRR abs/2212.00351 (2022) - [i40]Antoine P. Leeman, Johannes Köhler, Samir Bennani, Melanie N. Zeilinger:
Predictive safety filter using system level synthesis. CoRR abs/2212.02111 (2022) - 2021
- [j27]Kim Peter Wabersich, Melanie N. Zeilinger:
A predictive safety filter for learning-based control of constrained nonlinear dynamical systems. Autom. 129: 109597 (2021) - [j26]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): 80-87 (2021) - [j25]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): 7635-7642 (2021) - [j24]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): 6451 (2021) - [j23]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): 535-544 (2021) - [j22]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): 1501-1512 (2021) - [j21]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): 635-644 (2021) - [j20]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): 826-834 (2021) - [j19]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): 131-145 (2021) - [c42]Alexandre Didier, Kim Peter Wabersich, Melanie N. Zeilinger:
Adaptive Model Predictive Safety Certification for Learning-based Control. CDC 2021: 809-815 - [c41]Elena Arcari, Anna Scampicchio, Andrea Carron, Melanie N. Zeilinger:
Bayesian multi-task learning using finite-dimensional models: A comparative study. CDC 2021: 2218-2225 - [c40]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: 210-215 - [c39]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: 781-786 - [c38]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: 6344-6351 - [c37]Ali Jadbabaie, John Lygeros, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger:
Preface. L4DC 2021: 1-5 - [c36]Lukas P. Fröhlich, Melanie N. Zeilinger, Edgar D. Klenske:
Cautious Bayesian Optimization for Efficient and Scalable Policy Search. L4DC 2021: 227-240 - [e2]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. Proceedings of Machine Learning Research 144, PMLR 2021 [contents] - [i39]Ben Tearle, Kim Peter Wabersich, Andrea Carron, Melanie N. Zeilinger:
A predictive safety filter for learning-based racing control. CoRR abs/2102.11907 (2021) - [i38]Bratislav Svetozarevic, Christian 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 abs/2103.01886 (2021) - [i37]Jerome Sieber, Samir Bennani, Melanie N. Zeilinger:
A System Level Approach to Robust Model Predictive Control. CoRR abs/2103.02460 (2021) - [i36]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 abs/2103.04709 (2021) - [i35]Kim Peter Wabersich, Melanie N. Zeilinger:
Predictive control barrier functions: Enhanced safety mechanisms for learning-based control. CoRR abs/2105.10241 (2021) - [i34]Simon Muntwiler, Kim Peter Wabersich, Melanie N. Zeilinger:
Learning-based Moving Horizon Estimation through Differentiable Convex Optimization Layers. CoRR abs/2109.03962 (2021) - [i33]Alexandre Didier, Kim Peter Wabersich, Melanie N. Zeilinger:
Adaptive Model Predictive Safety Certification for Learning-based Control - Extended Version. CoRR abs/2109.13033 (2021) - [i32]Lukas P. Fröhlich, Christian Küttel, Elena Arcari, Lukas Hewing, Melanie N. Zeilinger, Andrea Carron:
Model Learning and Contextual Controller Tuning for Autonomous Racing. CoRR abs/2110.02710 (2021) - [i31]Lukas P. Fröhlich, Maksym Lefarov, Melanie N. Zeilinger, Felix Berkenkamp:
On-Policy Model Errors in Reinforcement Learning. CoRR abs/2110.07985 (2021) - [i30]Johannes Köhler, Melanie N. Zeilinger, Lars Grüne:
Stability and performance analysis of NMPC: Detectable stage costs and general terminal costs. CoRR abs/2110.11021 (2021) - [i29]Jerome Sieber, Andrea Zanelli, Samir Bennani, Melanie N. Zeilinger:
System Level Disturbance Reachable Sets and their Application to Tube-based MPC. CoRR abs/2111.03564 (2021) - 2020
- [j18]Lukas Hewing, Kim Peter Wabersich, Marcel Menner, Melanie N. Zeilinger:
Learning-Based Model Predictive Control: Toward Safe Learning in Control. Annu. Rev. Control. Robotics Auton. Syst. 3: 269-296 (2020) - [j17]Lukas Hewing, Kim Peter Wabersich, Melanie N. Zeilinger:
Recursively feasible stochastic model predictive control using indirect feedback. Autom. 119: 109095 (2020) - [j16]Lukas Hewing, Melanie N. Zeilinger:
Scenario-Based Probabilistic Reachable Sets for Recursively Feasible Stochastic Model Predictive Control. IEEE Control. Syst. Lett. 4(2): 450-455 (2020) - [j15]Lukas Hewing, Juraj Kabzan, Melanie N. Zeilinger:
Cautious Model Predictive Control Using Gaussian Process Regression. IEEE Trans. Control. Syst. Technol. 28(6): 2736-2743 (2020) - [j14]Marcel Menner, Lukas Neuner, Lars Lünenburger, Melanie N. Zeilinger:
Using Human Ratings for Feedback Control: A Supervised Learning Approach With Application to Rehabilitation Robotics. IEEE Trans. Robotics 36(3): 789-801 (2020) - [c35]Lukas P. Fröhlich, Edgar D. Klenske, Julia Vinogradska, Christian Daniel, Melanie N. Zeilinger:
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization. AISTATS 2020: 2262-2272 - [c34]Lukas Hewing, Melanie N. Zeilinger:
Performance Analysis of Stochastic Model Predictive Control with Direct and Indirect Feedback. CDC 2020: 672-678 - [c33]Lukas Hewing, Elena Arcari, Lukas P. Fröhlich, Melanie N. Zeilinger:
On Simulation and Trajectory Prediction with Gaussian Process Dynamics. L4DC 2020: 424-434 - [c32]Kim Peter Wabersich, Melanie N. Zeilinger:
Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling. L4DC 2020: 455-464 - [c31]Elena Arcari, Lukas Hewing, Max Schlichting, Melanie N. Zeilinger:
Dual Stochastic MPC for Systems with Parametric and Structural Uncertainty. L4DC 2020: 894-903 - [e1]Alexandre M. Bayen, Ali Jadbabaie, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, 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. Proceedings of Machine Learning Research 120, PMLR 2020 [contents] - [i28]Lukas P. Fröhlich, Edgar D. Klenske, Christian G. Daniel, Melanie N. Zeilinger:
Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection. CoRR abs/2001.07394 (2020) - [i27]Lukas P. Fröhlich, Edgar D. Klenske, Julia Vinogradska, Christian Daniel, Melanie N. Zeilinger:
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization. CoRR abs/2002.02820 (2020) - [i26]Simon Muntwiler, Kim Peter Wabersich, Lukas Hewing, Melanie N. Zeilinger:
Data-Driven Distributed Stochastic Model Predictive Control with Closed-Loop Chance Constraint Satisfaction. CoRR abs/2004.02907 (2020) - [i25]Marcel Menner, Melanie N. Zeilinger:
Maximum Likelihood Methods for Inverse Learning of Optimal Controllers. CoRR abs/2005.02767 (2020) - [i24]Kim Peter Wabersich, Melanie N. Zeilinger:
Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling. CoRR abs/2005.11744 (2020) - [i23]Kim Peter Wabersich, Melanie N. Zeilinger:
Performance and safety of Bayesian model predictive control: Scalable model-based RL with guarantees. CoRR abs/2006.03483 (2020) - [i22]Andrea Carron, Jerome Sieber, Melanie N. Zeilinger:
Distributed Safe Learning using an Invariance-based Safety Framework. CoRR abs/2007.00681 (2020) - [i21]Elena Arcari, Andrea Carron, Melanie N. Zeilinger:
Meta Learning MPC using Finite-Dimensional Gaussian Process Approximations. CoRR abs/2008.05984 (2020) - [i20]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. CoRR abs/2009.01530 (2020) - [i19]Lukas P. Fröhlich, Melanie N. Zeilinger, Edgar D. Klenske:
Cautious Bayesian Optimization for Efficient and Scalable Policy Search. CoRR abs/2011.09445 (2020)
2010 – 2019
- 2019
- [j13]Juraj Kabzan, Lukas Hewing, Alexander Liniger, Melanie N. Zeilinger:
Learning-Based Model Predictive Control for Autonomous Racing. IEEE Robotics Autom. Lett. 4(4): 3363-3370 (2019) - [j12]Andrea Carron, Elena Arcari, Martin Wermelinger, Lukas Hewing, Marco Hutter, Melanie N. Zeilinger:
Data-Driven Model Predictive Control for Trajectory Tracking With a Robotic Arm. IEEE Robotics Autom. Lett. 4(4): 3758-3765 (2019) - [j11]Jaime F. Fisac, Anayo K. Akametalu, Melanie N. Zeilinger, Shahab Kaynama, Jeremy H. Gillula, Claire J. Tomlin:
A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems. IEEE Trans. Autom. Control. 64(7): 2737-2752 (2019) - [j10]Caroline Le Floch, Somil Bansal, Claire J. Tomlin, Scott J. Moura, Melanie N. Zeilinger:
Plug-and-Play Model Predictive Control for Load Shaping and Voltage Control in Smart Grids. IEEE Trans. Smart Grid 10(3): 2334-2344 (2019) - [c30]Marcel Menner, Karl Berntorp, Melanie N. Zeilinger, Stefano Di Cairano:
Inverse Learning for Human-Adaptive Motion Planning. CDC 2019: 809-815 - [c29]Lukas P. Fröhlich, Edgar D. Klenske, Christian G. Daniel, Melanie N. Zeilinger:
Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection. IROS 2019: 757-764 - [i18]Marcel Menner, Lukas Neuner, Lars Lünenburger, Melanie N. Zeilinger:
Using Human Ratings for Feedback Control: A Supervised Learning Approach with Application to Rehabilitation Robotics. CoRR abs/1906.09847 (2019) - [i17]Kim Peter Wabersich, Lukas Hewing, Andrea Carron, Melanie N. Zeilinger:
Probabilistic model predictive safety certification for learning-based control. CoRR abs/1906.10417 (2019) - [i16]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. CoRR abs/1909.07205 (2019) - [i15]Simon Muntwiler, Kim Peter Wabersich, Andrea Carron, Melanie N. Zeilinger:
Distributed Model Predictive Safety Certification for Learning-based Control. CoRR abs/1911.01832 (2019) - [i14]Elena Arcari, Lukas Hewing, Melanie N. Zeilinger:
An Approximate Dynamic Programming Approach for Dual Stochastic Model Predictive Control. CoRR abs/1911.03728 (2019) - [i13]Elena Arcari, Lukas Hewing, Max Schlichting, Melanie N. Zeilinger:
Dual Stochastic MPC for Systems with Parametric and Structural Uncertainty. CoRR abs/1912.10114 (2019) - [i12]Lukas Hewing, Elena Arcari, Lukas P. Fröhlich, Melanie N. Zeilinger:
On Simulation and Trajectory Prediction with Gaussian Process Dynamics. CoRR abs/1912.10900 (2019) - 2018
- [c28]Lukas Hewing, Melanie N. Zeilinger:
Stochastic Model Predictive Control for Linear Systems Using Probabilistic Reachable Sets. CDC 2018: 5182-5188 - [c27]Kim Peter Wabersich, Melanie N. Zeilinger:
Linear Model Predictive Safety Certification for Learning-Based Control. CDC 2018: 7130-7135 - [c26]Lukas Hewing, Alexander Liniger, Melanie N. Zeilinger:
Cautious NMPC with Gaussian Process Dynamics for Autonomous Miniature Race Cars. ECC 2018: 1341-1348 - [c25]Lukas Hewing, Andrea Carron, Kim Peter Wabersich, Melanie N. Zeilinger:
On a Correspondence between Probabilistic and Robust Invariant Sets for Linear Systems. ECC 2018: 1642-1647 - [c24]Kim Peter Wabersich, Melanie N. Zeilinger:
Scalable synthesis of safety certificates from data with application to learning-based control. ECC 2018: 1691-1697 - [c23]Marcel Menner, Melanie N. Zeilinger:
A User Comfort Model and Index Policy for Personalizing Discrete Controller Decisions. ECC 2018: 1759-1765 - [c22]Marcel Menner, Melanie N. Zeilinger:
Convex Formulations and Algebraic Solutions for Linear Quadratic Inverse Optimal Control Problems. ECC 2018: 2107-2112 - [i11]Kim Peter Wabersich, Melanie N. Zeilinger:
Linear model predictive safety certification for learning-based control. CoRR abs/1803.08552 (2018) - [i10]Lukas Hewing, Melanie N. Zeilinger:
Stochastic Model Predictive Control for Linear Systems using Probabilistic Reachable Sets. CoRR abs/1805.07145 (2018) - [i9]Kim Peter Wabersich, Melanie N. Zeilinger:
Safe exploration of nonlinear dynamical systems: A predictive safety filter for reinforcement learning. CoRR abs/1812.05506 (2018) - [i8]Lukas Hewing, Kim Peter Wabersich, Melanie N. Zeilinger:
Recursively Feasible Stochastic Model Predictive Control using Indirect Feedback. CoRR abs/1812.06860 (2018) - [i7]Marcel Menner, Peter Worsnop, Melanie N. Zeilinger:
Predictive Modeling by Infinite-Horizon Constrained Inverse Optimal Control with Application to a Human Manipulation Task. CoRR abs/1812.11600 (2018) - 2017
- [j9]Ye Pu, Melanie Nicole Zeilinger, Colin N. Jones:
Complexity Certification of the Fast Alternating Minimization Algorithm for Linear MPC. IEEE Trans. Autom. Control. 62(2): 888-893 (2017) - [j8]Ye Pu, Melanie Nicole Zeilinger, Colin N. Jones:
Quantization Design for Distributed Optimization. IEEE Trans. Autom. Control. 62(5): 2107-2120 (2017) - [i6]Jaime F. Fisac, Anayo K. Akametalu, Melanie Nicole Zeilinger, Shahab Kaynama, Jeremy H. Gillula, Claire J. Tomlin:
A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems. CoRR abs/1705.01292 (2017) - [i5]Lukas Hewing, Melanie N. Zeilinger:
Cautious Model Predictive Control using Gaussian Process Regression. CoRR abs/1705.10702 (2017) - [i4]Lukas Hewing, Alexander Liniger, Melanie N. Zeilinger:
Cautious NMPC with Gaussian Process Dynamics for Miniature Race Cars. CoRR abs/1711.06586 (2017) - [i3]Kim Peter Wabersich, Melanie N. Zeilinger:
Scalable synthesis of safety certificates from data with application to learning-based control. CoRR abs/1711.11417 (2017) - 2016
- [j7]Christian Conte, Colin N. Jones, Manfred Morari, Melanie Nicole Zeilinger:
Distributed synthesis and stability of cooperative distributed model predictive control for linear systems. Autom. 69: 117-125 (2016) - [j6]Daniel Limón, Mario Pereira, David Muñoz de la Peña, Teodoro Alamo, Colin N. Jones, Melanie Nicole Zeilinger:
MPC for Tracking Periodic References. IEEE Trans. Autom. Control. 61(4): 1123-1128 (2016) - [j5]Edgar D. Klenske, Melanie Nicole Zeilinger, Bernhard Schölkopf, Philipp Hennig:
Gaussian Process-Based Predictive Control for Periodic Error Correction. IEEE Trans. Control. Syst. Technol. 24(1): 110-121 (2016) - [c21]Edgar D. Klenske, Philipp Hennig, Bernhard Schölkopf, Melanie Nicole Zeilinger:
Approximate dual control maintaining the value of information with an application to building control. ECC 2016: 800-806 - [i2]Caroline Le Floch, Somil Bansal, Claire J. Tomlin, Scott J. Moura, Melanie Nicole Zeilinger:
Plug-and-Play Model Predictive Control for Load Shaping and Voltage Control in Smart Grids. CoRR abs/1606.06682 (2016) - 2015
- [j4]Jean-Hubert Hours, Melanie Nicole Zeilinger, Ravi Gondhalekar, Colin N. Jones:
Constrained Spectrum Control. IEEE Trans. Autom. Control. 60(7): 1969-1974 (2015) - [c20]Ye Pu, Melanie Nicole Zeilinger, Colin N. Jones:
Quantization design for unconstrained distributed optimization. ACC 2015: 1229-1234 - [c19]Ye Pu, Melanie Nicole Zeilinger, Colin N. Jones:
Quantization design for distributed optimization with time-varying parameters. CDC 2015: 2037-2042 - [i1]Ye Pu, Melanie Nicole Zeilinger, Colin N. Jones:
Quantization Design for Distributed Optimization. CoRR abs/1504.02317 (2015) - 2014
- [j3]Melanie Nicole Zeilinger, Davide Martino Raimondo, Alexander Domahidi, Manfred Morari, Colin N. Jones:
On real-time robust model predictive control. Autom. 50(3): 683-694 (2014) - [j2]Melanie Nicole Zeilinger, Manfred Morari, Colin N. Jones:
Soft Constrained Model Predictive Control With Robust Stability Guarantees. IEEE Trans. Autom. Control. 59(5): 1190-1202 (2014) - [c18]Anayo K. Akametalu, Shahab Kaynama, Jaime F. Fisac, Melanie Nicole Zeilinger, Jeremy H. Gillula, Claire J. Tomlin:
Reachability-based safe learning with Gaussian processes. CDC 2014: 1424-1431 - [c17]Insoon Yang, Melanie Nicole Zeilinger, Claire J. Tomlin:
Utility learning model predictive control for personal electric loads. CDC 2014: 4868-4874 - [c16]Somil Bansal, Melanie Nicole Zeilinger, Claire J. Tomlin:
Plug-and-play model predictive control for electric vehicle charging and voltage control in smart grids. CDC 2014: 5894-5900 - [c15]Ye Pu, Melanie Nicole Zeilinger, Colin N. Jones:
Inexact fast alternating minimization algorithm for distributed model predictive control. CDC 2014: 5915-5921 - 2013
- [c14]Edgar D. Klenske, Melanie Nicole Zeilinger, Bernhard Schölkopf, Philipp Hennig:
Nonparametric dynamics estimation for time periodic systems. Allerton 2013: 486-493 - [c13]Christian Conte, Melanie Nicole Zeilinger, Manfred Morari, Colin N. Jones:
Cooperative distributed tracking MPC for constrained linear systems: Theory and synthesis. CDC 2013: 3812-3817 - [c12]Melanie Nicole Zeilinger, Ye Pu, Stefano Riverso, Giancarlo Ferrari-Trecate, Colin N. Jones:
Plug and play distributed model predictive control based on distributed invariance and optimization. CDC 2013: 5770-5776 - [c11]Christian Conte, Melanie N. Zeilinger, Manfred Morari, Colin N. Jones:
Robust distributed model predictive control of linear systems. ECC 2013: 2764-2769 - 2012
- [c10]Jean-Hubert Hours, Melanie Nicole Zeilinger, Ravi Gondhalekar, Colin N. Jones:
Spectrogram-MPC: Enforcing hard constraints on systems' output spectra. ACC 2012: 2010-2017 - [c9]Christian Conte, Niklaus R. Voellmy, Melanie Nicole Zeilinger, Manfred Morari, Colin N. Jones:
Distributed synthesis and control of constrained linear systems. ACC 2012: 6017-6022 - [c8]Alexander Domahidi, Aldo U. Zgraggen, Melanie Nicole Zeilinger, Manfred Morari, Colin N. Jones:
Efficient interior point methods for multistage problems arising in receding horizon control. CDC 2012: 668-674 - [c7]Christian Conte, Tyler H. Summers, Melanie Nicole Zeilinger, Manfred Morari, Colin N. Jones:
Computational aspects of distributed optimization in model predictive control. CDC 2012: 6819-6824 - 2011
- [j1]Melanie Nicole Zeilinger, Colin Neil Jones, Manfred Morari:
Real-Time Suboptimal Model Predictive Control Using a Combination of Explicit MPC and Online Optimization. IEEE Trans. Autom. Control. 56(7): 1524-1534 (2011) - [c6]Georg Schildbach, Melanie Nicole Zeilinger, Manfred Morari, Colin N. Jones:
Input-to-state stabilization of low-complexity model predictive controllers for linear systems. CDC/ECC 2011: 482-488 - [c5]Alexander Domahidi, Melanie Nicole Zeilinger, Manfred Morari, Colin N. Jones:
Learning a feasible and stabilizing explicit model predictive control law by robust optimization. CDC/ECC 2011: 513-519 - 2010
- [c4]Melanie Nicole Zeilinger, Colin N. Jones, Manfred Morari:
Robust stability properties of soft constrained MPC. CDC 2010: 5276-5282
2000 – 2009
- 2009
- [c3]Melanie Nicole Zeilinger, Colin N. Jones, Davide Martino Raimondo, Manfred Morari:
Real-time MPC - Stability through robust MPC design. CDC 2009: 3980-3986 - 2008
- [c2]Melanie Nicole Zeilinger, Colin N. Jones, Manfred Morari:
Real-time suboptimal model predictive control using a combination of explicit MPC and online optimization. CDC 2008: 4718-4723 - 2007
- [c1]Frank J. Christophersen, Melanie Nicole Zeilinger, Colin N. Jones, Manfred Morari:
Controller complexity reduction for piecewise affine systems through safe region elimination. CDC 2007: 4773-4778
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-10 20:46 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
