3 papers
cs.LG2025
Data driven feedback linearization of nonlinear control systems via Lie derivatives and stacked regression approach
Lakshmi Priya P. K., Andreas Schwung
Discovering the governing equations of a physical system and designing an effective feedback controller remains one of the most challenging and intensive areas of ongoing research.…
eess.SY2025
Luré-Postnikov Stability Analysis of Closed-Loop Control Systems with Gated Recurrent Neural Network-based Virtual Sensors
Eric Hilgert, Andreas Schwung
This article addresses certification of closed-loop stability when a virtual-sensor based on a gated recurrent neural network operates in the feedback path of a nonlinear control s…
cs.LG2024
Predicting Wall Thickness Changes in Cold Forging Processes: An Integrated FEM and Neural Network approach
Sasa Ilic, Abdulkerim Karaman, Johannes Pöppelbaum +3
This study presents a novel approach for predicting wall thickness changes in tubes during the nosing process. Specifically, we first provide a thorough analysis of nosing processe…