| Physics-informed autoencoders for Lyapunov-stable fluid flow prediction NB Erichson, M Muehlebach, MW Mahoney arXiv preprint arXiv:1905.10866, 2019 | 164 | 2019 |
| A dynamical systems perspective on Nesterov acceleration M Muehlebach, M Jordan International Conference on Machine Learning, 4656-4662, 2019 | 122 | 2019 |
| 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 | 121 | 2016 |
| The Cubli: A reaction wheel based 3D inverted pendulum M Gajamohan, M Muehlebach, T Widmer, R D’andrea IMU 2 (2), 2013 | 95 | 2013 |
| Optimization with momentum: Dynamical, control-theoretic, and symplectic perspectives M Muehlebach, MI Jordan Journal of Machine Learning Research 22 (73), 1-50, 2021 | 60 | 2021 |
| 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 | 59 | 2017 |
| 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 | 40 | 2016 |
| 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 | 32 | 2013 |
| The flying platform–a testbed for ducted fan actuation and control design M Muehlebach, R D’Andrea Mechatronics 42, 52-68, 2017 | 29 | 2017 |
| On constraints in first-order optimization: A view from non-smooth dynamical systems M Muehlebach, MI Jordan Journal of Machine Learning Research 23 (256), 1-47, 2022 | 22 | 2022 |
| 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 | 21 | 2016 |
| 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 | 17 | 2017 |
| Camera Auto Exposure Control for VSLAM Applications M Muehlebach Autumn Term, 2010 | 17 | 2010 |
| Continuous-time lower bounds for gradient-based algorithms M Muehlebach, M Jordan International Conference on Machine Learning, 7088-7096, 2020 | 11 | 2020 |
| 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 | 11 | 2020 |
| 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, 2022 | 9 | 2022 |
| 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 | 8 | 2017 |
| 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 | 7 | 2023 |
| A method for reducing the complexity of model predictive control in robotics applications M Muehlebach, R D’Andrea IEEE Robotics and Automation Letters 4 (3), 2516-2523, 2019 | 7 | 2019 |
| LMI-based synthesis for distributed event-based state estimation M Muehlebach, S Trimpe 2015 American Control Conference (ACC), 4060-4067, 2015 | 7 | 2015 |
Raffaello D'AndreaETH Zurich在 ethz.ch 的电子邮件经过验证
