Papers
2
Total Citations
19
H-Index
2
About
A. Pfeiffer is a leading researcher in the field of system dynamics and control, with a primary focus on automotive systems and advanced numerical methods for co-simulation. Their work centers on bridging the gap between complex physical models and real-time control applications, particularly through the use of the Functional Mock-up Interface (FMI) standard. Pfeiffer’s most significant contribution is the development of a novel method for nonlinear state estimation that directly integrates continuous-time Modelica models via an extended FMI 2.0 Co-Simulation Interface. This approach, detailed in their 2014 paper (16 citations), enables automatic utilization of detailed system models within state estimation algorithms, a critical step for enhancing the accuracy and reliability of control systems in vehicles. As a key member of the automotive research group at the DLR Institute of System Dynamics and Control, Pfeiffer has also contributed to an overview of the group’s work on safety, comfort, and resource efficiency in road vehicles (2020, 3 citations). Their research is pivotal for advancing autonomous driving and vehicle dynamics control, making complex simulations more accessible for practical, real-time applications.
Research Focus
Key Achievements
Top Papers
- 1Nonlinear State Estimation with an Extended FMI 2.0 Co-Simulation Interface16 citations · 2014
- 2