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Michael Muehlebach
Michael Muehlebach
Max Planck Institute for Intelligent Systems
Verified email at tuebingen.mpg.de - Homepage
Title
Cited by
Cited by
Year
Physics-informed autoencoders for Lyapunov-stable fluid flow prediction
NB Erichson, M Muehlebach, MW Mahoney
arXiv preprint arXiv:1905.10866, 2019
1462019
Nonlinear analysis and control of a reaction-wheel-based 3-D inverted pendulum
M Muehlebach, R D’Andrea
IEEE Transactions on Control Systems Technology 25 (1), 235-246, 2016
1192016
A dynamical systems perspective on Nesterov acceleration
M Muehlebach, M Jordan
International Conference on Machine Learning, 4656-4662, 2019
1122019
The Cubli: A reaction wheel based 3D inverted pendulum
M Gajamohan, M Muehlebach, T Widmer, R D’Andrea
IMU 2 (2), 2013
932013
Optimization with momentum: Dynamical, control-theoretic, and symplectic perspectives
M Muehlebach, MI Jordan
The Journal of Machine Learning Research 22 (1), 3407-3456, 2021
562021
Distributed event-based state estimation for networked systems: An LMI approach
M Muehlebach, S Trimpe
IEEE Transactions on Automatic Control 63 (1), 269-276, 2017
562017
Application of an approximate model predictive control scheme on an unmanned aerial vehicle
M Hofer, M Muehlebach, R D'Andrea
2016 IEEE international conference on robotics and automation (ICRA), 2952-2957, 2016
382016
A fan-based, low-frequent, forced oscillation technique apparatus
H Maes, G Vandersteen, M Muehlebach, C Ionescu
IEEE Transactions on Instrumentation and Measurement 63 (3), 603-611, 2013
302013
The flying platform–a testbed for ducted fan actuation and control design
M Muehlebach, R D’Andrea
Mechatronics 42, 52-68, 2017
282017
Parametrized infinite-horizon model predictive control for linear time-invariant systems with input and state constraints
M Muehlebach, R D'Andrea
2016 American Control Conference (ACC), 2669-2674, 2016
222016
On constraints in first-order optimization: A view from non-smooth dynamical systems
M Muehlebach, MI Jordan
The Journal of Machine Learning Research 23 (1), 11681-11727, 2022
192022
Trajectory tracking and iterative learning on an unmanned aerial vehicle using parametrized model predictive control
C Sferrazza, M Muehlebach, R D'Andrea
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5186-5192, 2017
182017
Camera Auto Exposure Control for VSLAM Applications
M Muehlebach
Autumn Term, 2010
172010
Continuous-time lower bounds for gradient-based algorithms
M Muehlebach, M Jordan
International Conference on Machine Learning, 7088-7096, 2020
102020
Learning‐based parametrized model predictive control for trajectory tracking
C Sferrazza, M Muehlebach, R D'Andrea
Optimal Control Applications and Methods 41 (6), 2225-2249, 2020
102020
Physics-informed autoencoders for lyapunov-stable fluid flow prediction.(2019)
NB Erichson, M Muehlebach, MW Mahoney
arXiv preprint arXiv:1905.10866, 1905
91905
Implementation of a parametrized infinite-horizon model predictive control scheme with stability guarantees
M Muehlebach, C Sferrazza, R D'Andrea
2017 IEEE International Conference on Robotics and Automation (ICRA), 2723-2730, 2017
82017
The One-Wheel Cubli: A 3D inverted pendulum that can balance with a single reaction wheel
M Hofer, M Muehlebach, R D’Andrea
Mechatronics 91, 102965, 2023
72023
LMI-based synthesis for distributed event-based state estimation
M Muehlebach, S Trimpe
2015 American Control Conference (ACC), 4060-4067, 2015
72015
A Learning-based Iterative Control Framework for Controlling a Robot Arm with Pneumatic Artificial Muscles
H Ma, D Büchler, B Schölkopf, M Muehlebach
Robotics: Science and Systems (RSS), 2022
62022
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