Philipp Maximilian Sieberg

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 8

Top Topics

Kalman Filtering

Editorial Board

Learning Algorithm

Top Venues

Publications

Philipp Maximilian Sieberg, Sebastian Blume, Sebastian Reicherts, Niko Maas, Dieter Schramm
Hybrid State Estimation-A Contribution Towards Reliability Enhancement of Artificial Neural Network Estimators. IEEE Trans. Intell. Transp. Syst. 23 (7) (2022)
Christian Hürten, Philipp Maximilian Sieberg, Dieter Schramm
Generating a Multi-fidelity Simulation Model Estimating the Models' Applicability with Machine Learning Algorithms. SIMULTECH (2022)
Maximilian Jarofka, Philipp Maximilian Sieberg, Christian Hürten, Tim Benedens, Ricarda Peters, Frédéric Etienne Kracht, Dieter Schramm
Template for Preparation of Papers for IEEE Sponsored Conferences & Symposia. ITSC (2022)
Philipp Maximilian Sieberg, Dieter Schramm
Ensuring the Reliability of Virtual Sensors Based on Artificial Intelligence within Vehicle Dynamics Control Systems. Sensors 22 (9) (2022)
Philipp Maximilian Sieberg, Christian Hürten, Dieter Schramm
Representation of an Integrated Non-Linear Model-Based Predictive Vehicle Dynamics Control System by a Co-Active Neuro-Fuzzy Inference System. IV (2020)
Sebastian Blume, Philipp Maximilian Sieberg, Niko Maas, Dieter Schramm
Neural Roll Angle Estimation in a Model Predictive Control System. ITSC (2019)
Philipp Maximilian Sieberg, Sebastian Blume, Nele Harnack, Niko Maas, Dieter Schramm
Hybrid State Estimation Combining Artificial Neural Network and Physical Model. ITSC (2019)
Matthias Bahr, Sebastian Reicherts, Philipp Maximilian Sieberg, Luca Morss, Dieter Schramm
Development and Validation of Active Roll Control based on Actor-critic Neural Network Reinforcement Learning. SIMULTECH (2019)