| Neural Roll Angle Estimation in a Model Predictive Control System S Blume, PM Sieberg, N Maas, D Schramm 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 1625-1630, 2019 | 20 | 2019 |
| Wear Mechanism Classification Using Artificial Intelligence PM Sieberg, D Kurtulan, S Hanke Materials 15 (7), 2358, 2022 | 14 | 2022 |
| Hybrid State Estimation–A Contribution Towards Reliability Enhancement of Artificial Neural Network Estimators PM Sieberg, S Blume, S Reicherts, N Maas, D Schramm IEEE Transactions on Intelligent Transportation Systems 23 (7), 6337-6346, 2021 | 13 | 2021 |
| Hybrid State Estimation Combining Artificial Neural Network and Physical Model PM Sieberg, S Blume, N Harnack, N Maas, D Schramm 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 894-899, 2019 | 10 | 2019 |
| Computation time optimization of a model-based predictive roll stabilization by neuro-fuzzy systems PM Sieberg, M Schmid, S Reicherts, D Schramm 19. Internationales Stuttgarter Symposium: Automobil-und Motorentechnik, 471-484, 2019 | 7 | 2019 |
| Ensuring the Reliability of Virtual Sensors Based on Artificial Intelligence within Vehicle Dynamics Control Systems PM Sieberg, D Schramm Sensors 22 (9), 3513, 2022 | 6 | 2022 |
| Central Non-Linear Model-Based Predictive Vehicle Dynamics Control PM Sieberg, D Schramm Applied Sciences 11 (10), 4687, 2021 | 5 | 2021 |
| The AutoBin project – Key concepts, status, and intended outcomes F Bakhshande, W Boschmann, L Dahlke, R Henn, J Höpken, F Kracht, ... Autonomous Inland and Short Sea Shipping, AISS2020, 2020 | 5 | 2020 |
| Challenges and potentials in the classification of wear mechanisms by artificial intelligence PM Sieberg, S Hanke Wear 522, 204725, 2023 | 4 | 2023 |
| Side-Slip Angle Estimation by Artificial Neural Networks for Vehicle Dynamics Control Applications PM Sieberg, S Blume, D Schramm AmE 2021-Automotive meets Electronics; 12th GMM-Symposium, 1-6, 2021 | 4 | 2021 |
| Non-linear model-based predictive control of vehicle dynamics in terms of active roll stabilization and pitch reduction PM Sieberg, S Blume, S Reicherts, D Schramm Forschung im Ingenieurwesen 83, 119-127, 2019 | 4 | 2019 |
| Nichtlineare modellbasierte prädiktive Regelung zur aktiven Wankstabilisierung von Personenkraftwagen PM Sieberg, S Reicherts, D Schramm Vierte IFToMM DA-CH Konferenz 2018: 15./16. Februar 2018, EPFL Lausanne, 2018 | 4 | 2018 |
| Hybrid Methods in Vehicle Dynamics State Estimation and Control – Exploiting Potentials and Ensuring Reliability of Artificial Intelligence PM Sieberg | 3 | 2021 |
| Application of Artificial Neural Networks for Active Roll Control Based on Actor-Critic Reinforcement Learning M Bahr, S Reicherts, P Sieberg, L Morss, D Schramm Simulation and Modeling Methodologies, Technologies and Applications: 9th …, 2021 | 3 | 2021 |
| Representation of an Integrated Non-Linear Model-Based Predictive Vehicle Dynamics Control System by a Co-Active Neuro-Fuzzy Inference System PM Sieberg, C Hürten, D Schramm 2020 IEEE Intelligent Vehicles Symposium (IV), 572-577, 2020 | 3 | 2020 |
| Nichtlineare modellbasierte prädiktive Regelung der Fahrzeugdynamik in Bezug auf eine aktive Wankstabilisierung und eine Nickreduzierung PM Sieberg, S Blume, S Reicherts, D Schramm Forschung im Ingenieurwesen 83 (2), 119-127, 2019 | 3 | 2019 |
| Improvements on the Dynamical Behavior of a HiL-Steering System Test Bench A Haas, B Schrage, G Menze, PM Sieberg, D Schramm Actuators 12 (5), 186, 2023 | 2 | 2023 |
| Generating a Multi-fidelity Simulation Model Estimating the Models' Applicability with Machine Learning Algorithms. C Hürten, PM Sieberg, D Schramm SIMULTECH, 131-141, 2022 | 2 | 2022 |
| Development and Validation of Active Roll Control based on Actor-critic Neural Network Reinforcement Learning. M Bahr, S Reicherts, PM Sieberg, L Morss, D Schramm SIMULTECH, 36-46, 2019 | 2 | 2019 |
| Zustandsschätzung des Wankverhaltens von Personenkraftwagen mittels künstlicher neuronaler Netze L Rahim, S Blume, S Reicherts, P Sieberg, D Schramm Mobilität in Zeiten der Veränderung: Technische und betriebswirtschaftliche …, 2019 | 2 | 2019 |
Dieter SchrammProfessor für Mechatronik, Universität Duisburg-EssenBestätigte E-Mail-Adresse bei uni-due.de
