How to programmatically stop simulation when output converges

I am running a model to do somthing like Monta Carlo simulation.

The output will get to a stable value after enough time, sometimes it takes longer, sometimes it takes less time.

To save the simulation time (there are several thousands of simulations to do), how can I programmatically set dynamic simulation time or stop simulation when output gets stable?

If there is even a solution for parallel computing, that would be even better.

Thanks and BR

[Walter Roberson]

Is this Simulink or pure MATLAB ?

[Yunyu Hu]

Hi,

the model is in Simulink.

to run the model with varying parameters I use some thing like this:

k = Simulink.Parameter
k.CoderInfo.StorageClass = 'SimulinkGlobal';
k.Value = -0.9;
mdl = 'sldemo_bounce';
rtp = Simulink.BlockDiagram.buildRapidAcceleratorTarget(mdl);
k_values = [-0.9:0.1:-0.1];
for i = 1:length(k_values)
    paramSet(i) = 
        Simulink.BlockDiagram.modifyTunableParameters(rtp, ...
        'k', k_values(i));
end
for i = 1:length(k_values)
    simout(i) = sim(mdl,'SimulationMode','rapid',...
                      'RapidAcceleratorUpToDateCheck','off', ...
                      'RapidAcceleratorParameterSets',paramSet(i));
end

But as I said, in my model the simulation output will reach a stable value after certain time, and this time is varying. Because the simulation amount is huge, therefore I think if I can dynamically stop the simulation when the value stablizes, thus I can save some time?

Thanks and BR

Answer 1

[Vimal Rathod]

You could use a Stop Simuation Block to stop the simulation by defining a condition which you want to satisfy before stopping the simulation.

You need to construct some logic which gives a boolean input to the stop simulation block.