Is there an algorithm to calculate the settling time of a time series?

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I am performing a simulation of a system that involves a lot of random variables. The response of this system varies each time I run the simulation. It is always non-asymptotically stable though, as it eventually fluctuates around the equilibrium point with a variant magnitude (of the fluctuation) each time. The following figure illustrates how two different runs of the same simulation can look like:
Simulations.png
I would like to have an automated function that calculates the fluctuation magnitude and the settling time each run, from the time response.

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R2019b

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