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Simulink Design Optimization 1.0

Estimate and optimize Simulink model parameters


Using Simulink Design Optimization with measured data to calibrate parameters for the blocks highlighted in red. The lower left and lower right images show measured versus simulated data before and after the calibration, respectively.

Simulink Design Optimization™ lets you improve designs by estimating and tuning model parameters using numerical optimization. You can increase model accuracy by using test data to calibrate physical parameters, such as mass or resistance. You can then improve system performance, reduce system cost, and meet other objectives by automatically tuning design parameters in your Simulink® model. For example, you can optimize controller gains to meet rise-time and overshoot constraints, or jointly optimize physical and algorithmic parameters to maximize overall system performance.


Trials available for Simulink Design Optimization
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Introduction to Simulink Design Optimization new

Penske Technology Group

"The integration between the analysis features of MATLAB and the modeling capabilities of Simulink helps us streamline our development."
- Tom Sweetland