With the MATLAB and Simulink product families you can model virtually any type of system, including:
You can choose from several modeling environments, enabling you to describe your system programmatically, symbolically, or with block diagrams and state machines.
Ensure model accuracy by choosing the modeling technique that is right for your experimental or historical data. If you know how various parameters affect the behavior of your system, use statistics and curve fitting tools to model your data with linear and nonlinear regression and other data-fitting techniques. If you’re unsure of the factors determining your system output, you can use nonparametric techniques such as neural networks and system identification.
You can choose from multiple approaches for creating mathematical models based on first principles. For example, you can:
Modeling a Piston 8:57
MathWorks application-specific products let you develop mathematical models for applications in the following areas:
"Using MATLAB we can build a model in one morning. It would take two weeks to write the equivalent code in Visual Basic."Read the story