Michael Muehlebach

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 53

Top Topics

Optimal Control Problems

Linear Quadratic

Model Predictive Control

Top Venues

IEEE Trans. Control. Syst. Technol.

Publications

Jasan Zughaibi, Bradley J. Nelson, Michael Muehlebach
Balancing a 3D Inverted Pendulum using Remote Magnetic Manipulation. CoRR (2024)
Florian Dörfler, Zhiyu He, Giuseppe Belgioioso, Saverio Bolognani, John Lygeros, Michael Muehlebach
Towards a Systems Theory of Algorithms. CoRR (2024)
Anna M. Wundram, Paul Fischer, Michael Muehlebach, Lisa M. Koch, Christian F. Baumgartner
Conformal Performance Range Prediction for Segmentation Output Quality Control. CoRR (2024)
Liang Zhang, Niao He, Michael Muehlebach
Primal Methods for Variational Inequality Problems with Functional Constraints. CoRR (2024)
Hao Ma, Melanie N. Zeilinger, Michael Muehlebach
Stochastic Online Optimization for Cyber-Physical and Robotic Systems. CoRR (2024)
Florian Dörfler, Zhiyu He, Giuseppe Belgioioso, Saverio Bolognani, John Lygeros, Michael Muehlebach
Toward a Systems Theory of Algorithms. IEEE Control. Syst. Lett. 8 (2024)
Guner Dilsad Er, Sebastian Trimpe, Michael Muehlebach
Distributed Event-Based Learning via ADMM. CoRR (2024)
Klaus-Rudolf Kladny, Julius von Kügelgen, Bernhard Schölkopf, Michael Muehlebach
Deep Backtracking Counterfactuals for Causally Compliant Explanations. Trans. Mach. Learn. Res. 2024 (2024)
Zhiyu He, Saverio Bolognani, Michael Muehlebach, Florian Dörfler
Gray-Box Nonlinear Feedback Optimization. CoRR (2024)
Onno Eberhard, Claire Vernade, Michael Muehlebach
A Pontryagin Perspective on Reinforcement Learning. CoRR (2024)
Paul Fischer, Hannah Willms, Moritz Schneider, Daniela Thorwarth, Michael Muehlebach, Christian F. Baumgartner
Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy. CoRR (2024)
Pavel Kolev, Georg Martius, Michael Muehlebach
Online Learning under Adversarial Nonlinear Constraints. CoRR (2023)
Pavel Kolev, Georg Martius, Michael Muehlebach
Online Learning under Adversarial Nonlinear Constraints. NeurIPS (2023)
Klaus-Rudolf Kladny, Julius von Kügelgen, Bernhard Schölkopf, Michael Muehlebach
Causal effect estimation from observational and interventional data through matrix weighted linear estimators. UAI (2023)
Jan Achterhold, Philip Tobuschat, Hao Ma, Dieter Büchler, Michael Muehlebach, Joerg Stueckler
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts. L4DC (2023)
Philip Tobuschat, Hao Ma, Dieter Büchler, Bernhard Schölkopf, Michael Muehlebach
Data-Efficient Online Learning of Ball Placement in Robot Table Tennis. IROS (2023)
Michael Muehlebach
Adaptive Decision-Making with Constraints and Dependent Losses: Performance Guarantees and Applications to Online and Nonlinear Identification. CoRR (2023)
Michael Muehlebach, Michael I. Jordan
Accelerated First-Order Optimization under Nonlinear Constraints. CoRR (2023)
Jan Achterhold, Philip Tobuschat, Hao Ma, Dieter Büchler, Michael Muehlebach, Joerg Stueckler
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts. CoRR (2023)
Sholom Schechtman, Daniil Tiapkin, Michael Muehlebach, Éric Moulines
Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold. COLT (2023)
Klaus-Rudolf Kladny, Julius von Kügelgen, Bernhard Schölkopf, Michael Muehlebach
Deep Backtracking Counterfactuals for Causally Compliant Explanations. CoRR (2023)
Philip Tobuschat, Hao Ma, Dieter Büchler, Bernhard Schölkopf, Michael Muehlebach
Data-Efficient Online Learning of Ball Placement in Robot Table Tennis. CoRR (2023)
Hao Ma, Dieter Büchler, Bernhard Schölkopf, Michael Muehlebach
Reinforcement learning with model-based feedforward inputs for robotic table tennis. Auton. Robots 47 (8) (2023)
Klaus-Rudolf Kladny, Julius von Kügelgen, Bernhard Schölkopf, Michael Muehlebach
Causal Effect Estimation from Observational and Interventional Data Through Matrix Weighted Linear Estimators. CoRR (2023)
Tong Guanchun, Michael Muehlebach
A Dynamical Systems Perspective on Discrete Optimization. L4DC (2023)
Daniel Frank, Decky Aspandi-Latif, Michael Muehlebach, Benjamin Unger, Steffen Staab
Robust Recurrent Neural Network to Identify Ship Motion in Open Water with Performance Guarantees - Technical Report. CoRR (2022)
Aniket Das, Bernhard Schölkopf, Michael Muehlebach
Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization. CoRR (2022)
Michael Muehlebach, Michael I. Jordan
On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems. J. Mach. Learn. Res. 23 (2022)
Aniket Das, Bernhard Schölkopf, Michael Muehlebach
Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization. NeurIPS (2022)
Hao Ma, Dieter Büchler, Bernhard Schölkopf, Michael Muehlebach
A Learning-based Iterative Control Framework for Controlling a Robot Arm with Pneumatic Artificial Muscles. Robotics: Science and Systems (2022)
Michael Muehlebach, Michael I. Jordan
Optimization with Momentum: Dynamical, Control-Theoretic, and Symplectic Perspectives. J. Mach. Learn. Res. 22 (2021)
Michael Muehlebach, Michael I. Jordan
On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems. CoRR (2021)
Michael Muehlebach, Michael I. Jordan
Continuous-time Lower Bounds for Gradient-based Algorithms. ICML (2020)
Michael Muehlebach, Michael I. Jordan
Continuous-time Lower Bounds for Gradient-based Algorithms. CoRR (2020)
Michael Muehlebach, Michael I. Jordan
Optimization with Momentum: Dynamical, Control-Theoretic, and Symplectic Perspectives. CoRR (2020)
Michael Muehlebach, Raffaello D'Andrea
A Method for Reducing the Complexity of Model Predictive Control in Robotics Applications. IEEE Robotics Autom. Lett. 4 (3) (2019)
Michael Muehlebach, Michael I. Jordan
A Dynamical Systems Perspective on Nesterov Acceleration. CoRR (2019)
N. Benjamin Erichson, Michael Muehlebach, Michael W. Mahoney
Physics-informed Autoencoders for Lyapunov-stable Fluid Flow Prediction. CoRR (2019)
Michael Muehlebach
The Silver Ratio and its Relation to Controllability. CoRR (2019)
Michael Muehlebach, Michael I. Jordan
A Dynamical Systems Perspective on Nesterov Acceleration. ICML (2019)
Michael Muehlebach, Raffaello D'Andrea
A Method for Reducing the Complexity of Model Predictive Control in Robotics Applications. CoRR (2019)
Michael Muehlebach, Sebastian Trimpe
Distributed Event-Based State Estimation for Networked Systems: An LMI Approach. IEEE Trans. Autom. Control. 63 (1) (2018)
Michael Muehlebach, Raffaello D'Andrea
On the Approximation of Constrained Linear Quadratic Regulator Problems and their Application to Model Predictive Control - Supplementary Notes. CoRR (2018)
Michael Muehlebach, Raffaello D'Andrea
Accelerometer-Based Tilt Determination for Rigid Bodies With a Nonaccelerated Pivot Point. IEEE Trans. Control. Syst. Technol. 26 (6) (2018)
Michael Muehlebach, Sebastian Trimpe
Distributed Event-Based State Estimation for Networked Systems: An LMI-Approach. CoRR (2017)
Carmelo Sferrazza, Michael Muehlebach, Raffaello D'Andrea
Trajectory tracking and iterative learning on an unmanned aerial vehicle using parametrized model predictive control. CDC (2017)
Michael Muehlebach, Raffaello D'Andrea
Basis functions design for the approximation of constrained linear quadratic regulator problems encountered in model predictive control. CDC (2017)
Michael Muehlebach, Raffaello D'Andrea
Nonlinear Analysis and Control of a Reaction-Wheel-Based 3-D Inverted Pendulum. IEEE Trans. Control. Syst. Technol. 25 (1) (2017)
Michael Muehlebach, Carmelo Sferrazza, Raffaello D'Andrea
Implementation of a parametrized infinite-horizon model predictive control scheme with stability guarantees. ICRA (2017)
Michael Muehlebach, Raffaello D'Andrea
Approximation of Continuous-Time Infinite-Horizon Optimal Control Problems Arising in Model Predictive Control - Supplementary Notes. CoRR (2016)
Michael Muehlebach, Raffaello D'Andrea
Parametrized infinite-horizon model predictive control for linear time-invariant systems with input and state constraints. ACC (2016)
Matthias Hofer, Michael Muehlebach, Raffaello D'Andrea
Application of an approximate model predictive control scheme on an unmanned aerial vehicle. ICRA (2016)
Michael Muehlebach, Raffaello D'Andrea
Approximation of continuous-time infinite-horizon optimal control problems arising in model predictive control. CDC (2016)
Michael Muehlebach, Sebastian Trimpe
Guaranteed ℋ2 performance in distributed event-based state estimation. EBCCSP (2015)
Michael Muehlebach, Sebastian Trimpe
LMI-based synthesis for distributed event-based state estimation. ACC (2015)
Hannes Maes, Gerd Vandersteen, Michael Muehlebach, Clara M. Ionescu
A Fan-Based, Low-Frequent, Forced Oscillation Technique Apparatus. IEEE Trans. Instrum. Meas. 63 (3) (2014)
Mohanarajah Gajamohan, Michael Muehlebach, Tobias Widmer, Raffaello D'Andrea
The Cubli: A reaction wheel based 3D inverted pendulum. ECC (2013)
Michael Muehlebach, Gajamohan Mohanarajah, Raffaello D'Andrea
Nonlinear analysis and control of a reaction wheel-based 3D inverted pendulum. CDC (2013)