Which are the Main Capabilities of Simulink Design Optimization?

Simulink design optimization is a system design that comprises many parameters. Some of these parameters are definitive, while others are specification oriented. Simulink design optimization is a unique function that can be used to determine optimal values to get a desired system. It has interactive tools that are used in analyzing, and modeling the parameters. Also, Simulink holds unique techniques like design for experiments to explore the design space and calculate parameter influence on model behavior.  With that, you can quickly determine the sensitivity of a model in testing the data. What do you need to improve your system design? You can use various methodologies to optimize physical parameters and algorithmic gains jointly. Which are they?

ü  Estimation of model parameters from test data.  Simulink design optimization is capable of importing and processing measured data. It can perform the parameter estimations through comparison and validation of estimate results. 

ü  Design exploration and sensitivity analysis of models. You can quickly analyze and explore your model design using Monte Carlo. This is to facilitate you identify the parameters with significant impact on your model or design requirements.  

ü  Optimization of Simulink model responses. Do you know that Simulink can tune model parameters to meet your time-domain requirements? Yes, you can easily add and edit design requirements graphically.

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