10 citations · 11 across the 7 of their papers we have counts for
13 papers
Safe Hierarchical Model Predictive Control and Planning for Autonomous Systems
Markus Koegel, Mohamed Ibrahim, Christian Kallies +1
Planning and control for autonomous vehicles usually are hierarchical separated. However, increasing performance demands and operating in highly dynamic environments requires an fr…
Flexible development and evaluation of machine-learning-supported optimal control and estimation methods via HILO-MPC
Johannes Pohlodek, Bruno Morabito, Christian Schlauch +2
Model-based optimization approaches for monitoring and control, such as model predictive control and optimal state and parameter estimation, have been used for decades in many engi…
Control of Scanning Quantum Dot Microscopy
Michael Maiworm, Christian Wagner, Taner Esat +4
Scanning quantum dot microscopy is a recently developed high-resolution microscopy technique that is based on atomic force microscopy and is capable of imaging the electrostatic po…
A Polynomial Chaos Approach to Robust Static Output-Feedback Control with Bounded Truncation Error
Yiming Wan, Dongying E. Shen, Sergio Lucia +2
This article considers the static output-feedback control for linear time-invariant uncertain systems with polynomial dependence on probabilistic time-invarian…
Controller tuning in power systems using singular value optimization
Amer Mešanović, Ulrich Münz, Rolf Findeisen
As the share of renewable generation in large power systems continues to increase, the operation of power systems becomes increasingly challenging. The constantly shifting mix of r…
Fusing Online Gaussian Process-Based Learning and Control for Scanning Quantum Dot Microscopy
Maik Pfefferkorn, Michael Maiworm, Christian Wagner +2
Elucidating electrostatic surface potentials contributes to a deeper understanding of the nature of matter and its physicochemical properties, which is the basis for a wide field o…