Large Simulink® models and blocks with complex initialization functions can slow linearization.
Usually, the time it takes to linearize a model is directly related to the time it takes to update the block diagram.
Use the MATLAB® Profiler to identify complex bottlenecks in block initialization functions.
In the MATLAB Profiler, run the command:
set_param(modelname,'SimulationCommand','update')
You can speed up the linearization of large models by disabling the Linearization Advisor in the Model Linearizer.
The Linearization Advisor stores diagnostic information, including linearization values of individual blocks, which can impact linearization performance.
To disable the Linearization Advisor, in the Model Linearizer, on the Linear Analysis tab, clear Linearization Advisor.
Tip
Alternatively, you can disable the Linearization Advisor globally in the Simulink Control Design™ tab of the MATLAB preferences dialog box. Clear the Launch Linearization for exact linearizations in the Model Linearizer check box. This global preference persists from session to session until you change this preference.
When batch linearizing a large model that contains only a few varying parameters,
you can use linlftfold to reduce the
computational load.
For more information, see More Efficient Batch Linearization Varying Parameters.