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09/01/2023
Interpretation of High-Dimensional Linear Regression: Effects of Nullspace and Regularization Demonstrated on Battery Data
High-dimensional linear regression is important in many scientific field...
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03/08/2023
LMI-based Data-Driven Robust Model Predictive Control
Predictive control, which is based on a model of the system to compute t...
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03/08/2023
Model Predictive Control with Gaussian-Process-Supported Dynamical Constraints for Autonomous Vehicles
We propose a model predictive control approach for autonomous vehicles t...
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03/08/2023
Safe Machine-Learning-supported Model Predictive Force and Motion Control in Robotics
Many robotic tasks, such as human-robot interactions or the handling of ...
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02/07/2023
Machine learning benchmarks for the classification of equivalent circuit models from solid-state electrochemical impedance spectra
Analysis of Electrochemical Impedance Spectroscopy (EIS) data for electr...
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03/27/2022
Safe Hierarchical Model Predictive Control and Planning for Autonomous Systems
Planning and control for autonomous vehicles usually are hierarchical se...
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03/25/2022
Flexible development and evaluation of machine-learning-supported optimal control and estimation methods via HILO-MPC
Model-based optimization approaches for monitoring and control, such as ...
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05/17/2021
Stochastic Control through Approximate Bayesian Input Inference
Optimal control under uncertainty is a prevailing challenge in control, ...
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11/25/2019
Learning References with Gaussian Processes in Model Predictive Control applied to Robot Assisted Surgery
One of the key benefits of model predictive control is the capability of...
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11/08/2019