Optimization variables

[Nathan Timmers]

Hi,

I was wondering how the optimization variables definition works exactly. I extracted this, as an example, from the ControllerGH2010:

Code: Select all

MuscleReflex {
					target = iliopsoas
					source = hamstrings
					delay = 0.005
					KL = ~-4.0<-10,10>
					L0 = ~0.85<0,2>

From the Standing High Jump tutorial I got that the optimization variable are defined like this: mean~standard deviation<minimum, maximum>. What does the ~-4.0<-10,10> and ~0.85<0,2> do then? Does it optimize the variable initializing it at either -4 or 0.85 and using the limits defined, but no standard deviation?

[Thomas Geijtenbeek]

Yes, well spotted! The notation is a shorthand for using a standard deviation that is a fraction (by default 10%) of the absolute value of the mean. So in the example you point out, the STD of KL = 0.4, and the STD of L0 = 0.085.

I've added some additional documentation about parameters to the SCONE website.

[Nathan Timmers]

Thanks for the explanation!