Simulink Design Optimization0 pages

Simulink Design Optimization
Estimate and optimize Simulink model parameters
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 use design
optimization techniques to optimize controller gains to meet rise-time and overshoot constraints, or jointly
optimize physical and algorithmic parameters to maximize overall system performance.
Key Features
▪ Model parameter estimation from test data
▪ Simultaneous optimization of time-domain and frequency-domain responses of Simulink models (with
Simulink Control Design™)
▪ Graphical specification of response requirements and visual monitoring of the optimization progress
▪ Optimization of parameters to meet requirements specified by Model Verification blocks
▪ Custom constraints and cost functions for response optimization
▪ Scripting interface for programmatic specification of design optimization problems
▪ Robust design optimization, accounting for parameter variation or uncertainty

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