ETAS ASCMO is the ideal solution for data-based modeling and model-based calibration. It enables users to accurately model, analyze, and optimize the behavior of complex systems with few measurements and advanced algorithms. Both steady-state and transient system behaviors can be captured.
ETAS ASCMO is used for model-based calibration in numerous applications, such as the optimization of fuel consumption and engine emissions.
In addition, the tool is able to generate accurate data-based metamodels of physical system simulations. This means the simulation quality of individual system components can be increased and the iteration times of the overall system simulation can be significantly shortened.
The ETAS ASCMO models can be used to simulate the controlled system in model-, software-, and hardware-in-the-loop applications (XiL). For very demanding runtime behavior requirements, the complexity of the models can be greatly reduced. This means that the models can be used, for example, as “virtual sensors” in production vehicle ECUs.