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Elias Reichensdörfer
Elias Reichensdörfer
Doctoral student at Technical University of Munich and BMW Group
Zweryfikowany adres z bmw.de
Tytuł
Cytowane przez
Cytowane przez
Rok
On the stability of nonlinear wheel-slip zero dynamics in traction control systems
E Reichensdörfer, D Odenthal, D Wollherr
IEEE Transactions on Control Systems Technology 28 (2), 489-504, 2018
242018
Interpretable PID parameter tuning for control engineering using general dynamic neural networks: An extensive comparison
J Günther, E Reichensdörfer, PM Pilarski, K Diepold
Plos one 15 (12), e0243320, 2020
172020
Method for developing tire slip controllers regarding a new cascaded controller structure
A Zech, T Eberl, E Reichensdörfer, D Odenthal, S Müller
14th International Symposium on Advanced Vehicle Control (AVEC), 302-307, 2018
92018
Recurrent neural networks for pid auto-tuning
E Reichensdörfer, J Günther, K Diepold
92017
Nonlinear Traction Control Design, Stability Analysis and Experiments for Vehicles with On-Demand 4WD Torque Bias Systems
E Reichensdörfer, W Degel, D Odenthal, D Wollherr
2019 IEEE 58th Conference on Decision and Control (CDC), 6669-6674, 2019
72019
Grammatical Evolution of Robust Controller Structures Using Wilson Scoring and Criticality Ranking
E Reichensdörfer, D Odenthal, D Wollherr
European Conference on Genetic Programming, 194-209, 2017
52017
On the Frontier Between Kalman Conjecture and Markus-Yamabe Conjecture
E Reichensdörfer, D Odenthal, D Wollherr
IEEE Control Systems Letters 5 (4), 1309-1314, 2020
32020
Engine-Based Input-Output Linearization for Traction Control Systems
E Reichensdörfer, D Odenthal, D Wollherr
IFAC-PapersOnLine 53 (2), 14055-14060, 2020
32020
Nonlinear Control Structure Design using Grammatical Evolution and Lyapunov Equation based Optimization
E Reichensdörfer, D Odenthal, D Wollherr
International Conference on Informatics in Control, Automation and Robotics …, 2018
32018
General Dynamic Neural Networks for explainable PID parameter tuning in control engineering: An extensive comparison
J Günther, E Reichensdörfer, PM Pilarski, K Diepold
CoRR, 13268, 2019
22019
General Dynamic Neural Networks for explainable PID parameter tuning in control engineering: An extensive comparison
PM Pilarski, K Diepold, J Günther, E Reichensdörfer
2*
Automated Nonlinear Control Structure Design by Domain of Attraction Maximization with Eigenvalue and Frequency Domain Specifications
E Reichensdörfer, D Odenthal, D Wollherr
Informatics in Control, Automation and Robotics: 15th International …, 2019
12019
Traction Control via Input-Output Linearization and Stability Analysis using Parametric Lyapunov Functions
EJV Reichensdörfer
Technische Universität München, 2022
2022
Traction Control System
T Eberl, D Odenthal, E REICHENSDOERFER, A Zech
US Patent App. 17/052,029, 2021
2021
Eine Methode zur adaptiven Vorsteuerung in Regelkreisen mit zwei Freiheitsgraden
A Dickow, E Reichensdörfer, K Graf
11. Konferenz für Angewandte Automatisierungstechnik in Lehre und …, 2014
2014
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