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Simcenter Amesim is a commercial simulation software for the modeling and analysis of multi-domain systems. It is part of systems engineering domain and falls into the mechatronic engineering field. The software package is a suite of tools used to model, analyze and predict the performance of mechatronics systems.
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Model-based software design for control functions and control algorithms Office, lab, or vehicle-based simulation and rapid prototyping of Electronic Control Unit (ECU) functions Automatic code generation for ECUs in production quality (more than 65 million produced since 1997)
In rapid control prototyping, control algorithms are taken from a mathematical model and implemented as a real-time application so that the control strategies can be tested with the actual controlled system, such as a car or a robot. Simulink is used as the input and simulation tool, and Simulink Coder, also from MathWorks, is used as the code ...
The Functional Mock-up Interface (or FMI) defines a standardized interface to be used in computer simulations to develop complex cyber-physical systems.. The vision of FMI is to support this approach: if the real product is to be assembled from a wide range of parts interacting in complex ways, each controlled by a complex set of physical laws, then it should be possible to create a virtual ...
CircuitLogix electronics simulation software. Some electronics simulators integrate a schematic editor, a simulation engine, and an on-screen waveform display (see Figure 1), allowing designers to rapidly modify a simulated circuit and see what effect the changes have on the output. They also typically contain extensive model and device libraries.
Simulink Verification and Validation enables systematic verification and validation of models through modeling style checking, requirements traceability and model coverage analysis. Simulink Design Verifier uses formal methods to identify design errors like integer overflow, division by zero and dead logic, and generates test case scenarios for ...
With system identification, the plant model is identified by acquiring and processing raw data from a real-world system and choosing a mathematical algorithm with which to identify a mathematical model. Various kinds of analysis and simulations can be performed using the identified model before it is used to design a model-based controller.