Christian Endisch

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 32

Top Topics

Iterative Learning

Assembly Systems

Parameter Identification

Top Venues

Publications

Markus Kohler, Christian Herrera, Martin Gerngroß, Ralph Kennel, Christian Endisch
Empirical Investigation and Feed-Forward Control of Wire Tension in Needle Winding Processes. ISIE (2024)
Andreas Rauscher, Johannes Kaiser, Manoj Devaraju, Christian Endisch
Deep learning and data augmentation for partial discharge detection in electrical machines. Eng. Appl. Artif. Intell. 133 (2024)
Andreas Rauscher, Siddhanth Kalamkar, Christian Endisch
Impact of High Voltage Waveform on Partial Discharge Inception in Electrical Machines. ISIE (2024)
Martin Nachtsheim, Luetfue Korkmaz, Martin Schmoelz, Christian Endisch
Observability Analysis for Parameter Identification of Induction Machines in Automotive Environment. ISIE (2022)
Markus Kohler, Martin Gerngroß, Christian Endisch
A Test Bench Concept and Method for Image-Based Modeling of Geometric Wire Bending Behavior in Needle Winding Processes. ISIE (2022)
Dominik Schneider, Bernhard Liebhart, Christian Endisch
Adaptive Variance Estimation of Sensor Noise within a Sensor Data Fusion Framework. I2MTC (2021)
Sebastian Mayer, Tobias Classen, Christian Endisch
Modular production control using deep reinforcement learning: proximal policy optimization. J. Intell. Manuf. 32 (8) (2021)
Dennis Gankin, Sebastian Mayer, Jonas Zinn, Birgit Vogel-Heuser, Christian Endisch
Modular Production Control with Multi-Agent Deep Q-Learning. ETFA (2021)
Bernhard Liebhart, Simon Diehl, Christian Endisch
Sensitivity Analysis of Battery Cell Aging Estimators based on Impedance Spectroscopy regarding Temperature Compensation. CCTA (2020)
Jan Kleiner, Alexander Heider, Christian Hanzl, Lidiya Komsiyska, Gordon Elger, Christian Endisch
Thermal Behavior of an Intelligent Li-Ion Cell under Vehicle Conditions. IECON (2020)
Michael Okon, Johannes Opferkuch, Christian Endisch
Modular Gear Transmission Model for Analyzing Production Tolerances in Electric Drivetrains. ICIT (2020)
Dominik Schneider, Christian Endisch
Robustness and Reliability of Model-based Sensor Data Fusion in a Lithium-Ion Battery System. CCTA (2020)
Martin Gerngroß, Markus Kohler, Christian Endisch, Ralph Kennel
Model-Based Control of Nonlinear Wire Tension in Dynamic Needle Winding Processes. ICIT (2020)
Sebastian Mayer, Christian Endisch
Adaptive Production Control in a Modular Assembly System Based on Partial Look-Ahead Scheduling. ICM (2019)
Martin Gerngross, Patrick Herrmann, Christian Endisch, Christian Westermaier
Optimization of the End Winding Patterns in Needle Wound Traction Stators. ICM (2019)
Michael Okon, Christian Endisch
On Air-Gap Approximations for Slotted Electrical Machine Models Assuming Radial Magnetic Fields. ICIT (2019)
Sebastian Mayer, Dennis Gankin, Christian Arnet, Christian Endisch
Adaptive Production Control with Negotiating Agents in Modular Assembly Systems. SMC (2019)
Patrick Herrmann, Martin Gerngross, Christian Endisch
Benefits of Numerical Optimization and CAD/CAM in Needle Winding Processes. ICM (2019)
Sebastian Mayer, Christian Arnet, Dennis Gankin, Christian Endisch
Standardized Framework for Evaluating Centralized and Decentralized Control Systems in Modular Assembly Systems. SMC (2019)
Martin Gerngroß, Patrick Herrmann, Christian Endisch
Nonlinear Modelling of Dynamic Wire Tension for Needle Winding Processes of Distributed Windings. ICIT (2019)
Sebastian Mayer, Nikolas Höhme, Dennis Gankin, Christian Endisch
Adaptive Production Control in a Modular Assembly System - Towards an Agent-based Approach. INDIN (2019)
Johannes Ziegmann, Florian Denk, Ulrich Vogele, Christian Endisch
Stochastic Driver Velocity Prediction with Environmental Features on Naturalistic Driving Data. ITSC (2018)
Lukas Leitner, Christian Endisch
Robust stochastic process models and parameter estimation for industrial end-of-line-testing. ICIT (2018)
Simon Altmannshofer, Christian Endisch, Khanh Duy Trieu
On-line identification and identifiability analysis of electrical and mechanical parameters of induction machines. AIM (2017)
Johannes Ziegmann, Jieqing Shi, Tobias Schnorer, Christian Endisch
Analysis of individual driver velocity prediction using data-driven driver models with environmental features. Intelligent Vehicles Symposium (2017)
Ulrich Vogele, Johannes Ziegmann, Christian Endisch
Driver adaptive predictive velocity control. ITSC (2017)
Tino Muller, Christian Endisch
An estimation based iterative learning control approach for cross-coupled vehicle test systems. AIM (2017)
Simon Altmannshofer, Christian Endisch, Jan Martin, Martin Gerngross, Reimund Limbacher
Robust estimation of vehicle longitudinal dynamics parameters. Intelligent Vehicles Symposium (2016)
Tino Muller, Christian Endisch
Compensation techniques for iterative rig control in multi-axial durability testing. ETFA (2016)
Simon Altmannshofer, Christian Endisch
Robust vehicle mass and driving resistance estimation. ACC (2016)
Lukas Leitner, Antoine Lagrange, Christian Endisch
End-of-line fault detection for combustion engines using one-class classification. AIM (2016)
Tino Muller, Ulrich Vogele, Christian Endisch
Disturbance compensation for iterative control of suspension durability test rigs. AIM (2016)
Ulrich Vogele, Christian Endisch
Potential analysis of predictive optimal velocity control for electric and conventional vehicles. ICVES (2015)
Rafael K. Jardan, Zoltán Varga, Peter Stumpf, István Nagy, Christian Endisch, Peter Sipos, Miklós Simon
Development of a dedicated laboratory system for measurement of iron losses in high speed PMSM. ICIT (2015)
Jan Martin, Ulrich Vogele, Christian Endisch
Effects of errors in position- and navigation data on predictive vehicle operational strategy optimization. ICVES (2015)
Peter Stolze, Petros P. Karamanakos, Ralph Kennel, Stefanos N. Manias, Christian Endisch
Effective variable switching point predictive current control for ac low-voltage drives. Int. J. Control 88 (7) (2015)
Peer Stenzel, Peter Dollinger, Jan Richnow, Tobias Bader, Jörg Franke, Christian Endisch
Experimental investigations of the needle winding technology regarding the influence of the wire guide geometry on the tensile wire force. ICIT (2015)
Christian Endisch, Peter Stolze, Christoph M. Hackl, Dierk Schröder
Comments on "Backpropagation Algorithms for a Broad Class of Dynamic Networks". IEEE Trans. Neural Networks 20 (3) (2009)
Christoph M. Hackl, Christian Endisch, Dierk Schröder
Contributions to non-identifier based adaptive control in mechatronics. Robotics Auton. Syst. 57 (10) (2009)
Christian Endisch, Peter Stolze, Peter Endisch, Christoph M. Hackl, Ralph Kennel
Levenberg-Marquardt-based OBS Algorithm using Adaptive Pruning Interval for System Identification with Dynamic Neural Networks. SMC (2009)
Christian Endisch, Christoph M. Hackl, Dierk Schröder
Optimal Brain Surgeon for General Dynamic Neural Networks. EPIA Workshops (2007)