What is ASCMO (Model-Based Fitting Tool)?
ETAS' ASCMO product family offers a wide range of solutions for modeling and optimizing systems based on data.
ASCMO isAdvancedSimitation forCalibration,Modeling, andOptimization (advanced simulation for fitting, modeling, and optimization)ASCMOWith , you can use advanced AI-based machine learning techniques to accurately model, analyze, and optimize the behavior of complex systems using only a small amount of measurement data.
Product Summary
- ASCMO-DESK: Interface for modeling and calibration
- ASCMO-STATIC: Modeling steady-state behavior based on data
- ASCMO-DYNAMIC: Modeling dynamic behavior based on data
- ASCMO-MOCA: Model parameter optimization
ASCMO-MOCA: Model parameter optimization
ASCMO-DESK from ETAS serves as a common interface underlying ASCMO-STATIC, ASCMO-DYNAMIC and ASCMO-MOCA. Also included is a Cycle Generator for managing and calculating driving cycles, a Calibration Data Editor tool for displaying scatter plots, and editing calibration data.
ASCMO-STATIC: Modeling steady-state behavior based on data
ASCMO-STATIC from ETAS allows you to create database models that model the steady-state behavior of complex systems. ASCMO-STATIC also provides a rich set of functions and options for visualizing, analyzing, and optimizing system behavior. It can also be used to create.
ASCMO-DYNAMIC: Modeling dynamic behavior based on data
ASCMO-DYNAMIC from ETAS allows you to create database models that model the dynamic and transient behavior of complex systems. ASCMO-DYNAMIC provides a wealth of functions and options for visualizing and analyzing system behavior, and can also be exported to ASCMO-MOCA for optimization. It can also be used to create experimental plans based on the DoE methodology (Design of Experiments).
ASCMO-MOCA: Model parameter optimization
ASCMO-MOCA from ETAS allows you to load, connect or model various plant and controller models to optimize the parameters of physical models used in ECUs, simulation environments, etc. Additionally, you can load measurement data, import and export model parameters, and define optimization tasks.
In addition, ASCMO-MOCA provides a rich set of functions and options for visualizing and analyzing the data and models used. A large number of free parameters can be optimized simultaneously.
customer benefits
- Easy to use, no specialized mathematical knowledge required
- Powerful methods in the field of machine learning using AI
- Interactive graphical representation of multidimensional dependencies
- Share models and data using standardized formats
- Share models and data using standardized formats
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