4 citations · 4 across the 2 of their papers we have counts for
2 papers
eess.SY2024★ 4 cited
Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging
Sebastian Hirt, Andreas Höhl, Joachim Schaeffer +3
Tuning parameters in model predictive control (MPC) presents significant challenges, particularly when there is a notable discrepancy between the controller's predictions and the a…
cs.RO2022
Continuous locomotion mode recognition and gait phase estimation based on a shank-mounted IMU with artificial neural networks
Florian Weigand, Andreas Höhl, Julian Zeiss +2
To improve the control of wearable robotics for gait assistance, we present an approach for continuous locomotion mode recognition as well as gait phase and stair slope estimation…