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Christian Endisch
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2020 – today
- 2024
- [j5]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: 108074 (2024) - [c36]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: 1-8 - [c35]Andreas Rauscher
, Siddhanth Kalamkar, Christian Endisch:
Impact of High Voltage Waveform on Partial Discharge Inception in Electrical Machines. ISIE 2024: 1-6 - 2022
- [c34]Martin Nachtsheim
, Luetfue Korkmaz, Martin Schmoelz, Christian Endisch
:
Observability Analysis for Parameter Identification of Induction Machines in Automotive Environment. ISIE 2022: 206-213 - [c33]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: 1113-1120 - 2021
- [j4]Sebastian Mayer
, Tobias Classen, Christian Endisch
:
Modular production control using deep reinforcement learning: proximal policy optimization. J. Intell. Manuf. 32(8): 2335-2351 (2021) - [c32]Dennis Gankin, Sebastian Mayer, Jonas Zinn, Birgit Vogel-Heuser, Christian Endisch:
Modular Production Control with Multi-Agent Deep Q-Learning. ETFA 2021: 1-8 - [c31]Dominik Schneider, Bernhard Liebhart, Christian Endisch:
Adaptive Variance Estimation of Sensor Noise within a Sensor Data Fusion Framework. I2MTC 2021: 1-6 - 2020
- [c30]Dominik Schneider
, Christian Endisch:
Robustness and Reliability of Model-based Sensor Data Fusion in a Lithium-Ion Battery System. CCTA 2020: 685-691 - [c29]Bernhard Liebhart, Simon Diehl
, Christian Endisch
:
Sensitivity Analysis of Battery Cell Aging Estimators based on Impedance Spectroscopy regarding Temperature Compensation. CCTA 2020: 801-806 - [c28]Martin Gerngroß, Markus Kohler
, Christian Endisch, Ralph Kennel:
Model-Based Control of Nonlinear Wire Tension in Dynamic Needle Winding Processes. ICIT 2020: 381-388 - [c27]Michael Okon, Johannes Opferkuch, Christian Endisch:
Modular Gear Transmission Model for Analyzing Production Tolerances in Electric Drivetrains. ICIT 2020: 709-716 - [c26]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: 2081-2086
2010 – 2019
- 2019
- [c25]Martin Gerngroß, Patrick Herrmann, Christian Endisch
:
Nonlinear Modelling of Dynamic Wire Tension for Needle Winding Processes of Distributed Windings. ICIT 2019: 151-156 - [c24]Michael Okon, Christian Endisch
:
On Air-Gap Approximations for Slotted Electrical Machine Models Assuming Radial Magnetic Fields. ICIT 2019: 292-297 - [c23]Sebastian Mayer, Christian Endisch
:
Adaptive Production Control in a Modular Assembly System Based on Partial Look-Ahead Scheduling. ICM 2019: 293-300 - [c22]Patrick Herrmann, Martin Gerngross, Christian Endisch
:
Benefits of Numerical Optimization and CAD/CAM in Needle Winding Processes. ICM 2019: 301-307 - [c21]Martin Gerngross, Patrick Herrmann, Christian Endisch, Christian Westermaier:
Optimization of the End Winding Patterns in Needle Wound Traction Stators. ICM 2019: 314-320 - [c20]Sebastian Mayer, Nikolas Höhme, Dennis Gankin, Christian Endisch
:
Adaptive Production Control in a Modular Assembly System - Towards an Agent-based Approach. INDIN 2019: 45-52 - [c19]Sebastian Mayer, Christian Arnet, Dennis Gankin, Christian Endisch
:
Standardized Framework for Evaluating Centralized and Decentralized Control Systems in Modular Assembly Systems. SMC 2019: 113-119 - [c18]Sebastian Mayer, Dennis Gankin, Christian Arnet, Christian Endisch
:
Adaptive Production Control with Negotiating Agents in Modular Assembly Systems. SMC 2019: 120-127 - 2018
- [c17]Lukas Leitner, Christian Endisch
:
Robust stochastic process models and parameter estimation for industrial end-of-line-testing. ICIT 2018: 1520-1525 - [c16]Johannes Ziegmann, Florian Denk, Ulrich Vogele, Christian Endisch
:
Stochastic Driver Velocity Prediction with Environmental Features on Naturalistic Driving Data. ITSC 2018: 1807-1814 - 2017
- [c15]Simon Altmannshofer, Christian Endisch
, Khanh Duy Trieu:
On-line identification and identifiability analysis of electrical and mechanical parameters of induction machines. AIM 2017: 577-583 - [c14]Tino Muller, Christian Endisch
:
An estimation based iterative learning control approach for cross-coupled vehicle test systems. AIM 2017: 1375-1381 - [c13]Ulrich Vogele, Johannes Ziegmann, Christian Endisch
:
Driver adaptive predictive velocity control. ITSC 2017: 1-6 - [c12]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: 517-522 - 2016
- [c11]Lukas Leitner, Antoine Lagrange, Christian Endisch
:
End-of-line fault detection for combustion engines using one-class classification. AIM 2016: 207-213 - [c10]Tino Muller, Ulrich Vogele, Christian Endisch
:
Disturbance compensation for iterative control of suspension durability test rigs. AIM 2016: 1675-1681 - [c9]Simon Altmannshofer, Christian Endisch
:
Robust vehicle mass and driving resistance estimation. ACC 2016: 6869-6874 - [c8]Tino Muller, Christian Endisch
:
Compensation techniques for iterative rig control in multi-axial durability testing. ETFA 2016: 1-7 - [c7]Simon Altmannshofer, Christian Endisch, Jan Martin, Martin Gerngross, Reimund Limbacher:
Robust estimation of vehicle longitudinal dynamics parameters. Intelligent Vehicles Symposium 2016: 566-571 - 2015
- [j3]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): 1366-1378 (2015) - [c6]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: 708-713 - [c5]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: 2642-2649 - [c4]Jan Martin, Ulrich Vogele, Christian Endisch
:
Effects of errors in position- and navigation data on predictive vehicle operational strategy optimization. ICVES 2015: 190-195 - [c3]Ulrich Vogele, Christian Endisch:
Potential analysis of predictive optimal velocity control for electric and conventional vehicles. ICVES 2015: 196-201
2000 – 2009
- 2009
- [j2]Christoph M. Hackl
, Christian Endisch, Dierk Schröder:
Contributions to non-identifier based adaptive control in mechatronics. Robotics Auton. Syst. 57(10): 996-1005 (2009) - [j1]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): 540-541 (2009) - [c2]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: 3402-3408 - 2007
- [c1]Christian Endisch, Christoph M. Hackl, Dierk Schröder:
Optimal Brain Surgeon for General Dynamic Neural Networks. EPIA Workshops 2007: 15-28
Coauthor Index
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last updated on 2024-08-05 20:24 CEST by the dblp team
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