Digital twins in mechatronics: From model-based control to predictive maintenance
K Classens, WM Heemels… - 2021 IEEE 1st …, 2021 - ieeexplore.ieee.org
Fault diagnosis systems are essential in precision mechatronics to facilitate maintenance
and to minimize downtime. The aim of this paper is to describe the current trend in control for …
and to minimize downtime. The aim of this paper is to describe the current trend in control for …
Characterizing the Zeeman slowing force for 40Ca19F molecules
P Kaebert, M Stepanova, T Poll, M Petzold… - New Journal of …, 2021 - iopscience.iop.org
In this paper we investigate the feasibility of Zeeman slowing calcium monofluoride
molecules originating from a cryogenic buffer gas cell. We measure the ${A}^{2}{{\Pi}} …
molecules originating from a cryogenic buffer gas cell. We measure the ${A}^{2}{{\Pi}} …
System Identification for Robust Control of an Electrode Positioning System of an Industrial Electric Arc Melting Furnace.
V Feliu-Batlle, R Rivas-Perez, RA Borges-Rivero… - …, 2024 - search.ebscohost.com
Through system identification for robust control methods and utilizing real-time experimental
field data, a comprehensive mathematical model is derived that represents the dynamic …
field data, a comprehensive mathematical model is derived that represents the dynamic …
Closed-loop Identification of a MSW Grate Incinerator using Bayesian Optimization for Selecting Model Inputs and Structure
The creation of low-order dynamic models for complex industrial systems is complicated by
disturbances and limited sensor accuracy. This work presents a system identification …
disturbances and limited sensor accuracy. This work presents a system identification …
Parametric identification using kernel-based frequency response model with model order selection based on robust stability
In this paper, the parametric identification is addressed by a kernel-based model with
covariance and a novel model order selection algorithm. The kernel-based model is uti-lized …
covariance and a novel model order selection algorithm. The kernel-based model is uti-lized …
Control-relevant model selection for servo control systems
Several techniques related to control design rely on parametric system models. In the
industry of servo control commissioning these techniques are not well established, mostly …
industry of servo control commissioning these techniques are not well established, mostly …
Control-relevant Model Selection for Multiple-Mass Systems
Physically motivated parametric models are the basis of several techniques related to
control design. Industrial model-based controller tuning methods include pole placement …
control design. Industrial model-based controller tuning methods include pole placement …