Category: General

The train_fmu_gym toolchain represents a significant advancement in applying reinforcement learning to multi-physical systems by bridging existi...

The DLR project SAFER² (Sensor and AI Fusion for Enhanced PeRformance and Reliability) focused on integrating sensor data with advanced models...

Data-driven or derived through physics? This is a key question when modelling dynamical systems, where recent developments in machine learning...

Many applications of machine learning and reinforcement learning approaches require a transfer of the trained neural network to the embedded sof...

The eFMI standard (Functional Mock-Up Interface for embedded systems) enables a standardized workflow for the application of physical models, li...

The project EMPHYSIS – initiated by Bosch and the Institute of System Dynamics and Control (SR) – had a budget of 14 million Euro and was su...