This presentation will show how to create a special non linear model with JMP. This model will be apply to several sets of data in one step and parameters quickly collected for stat. analysis.
I am working on an experimental research that introduces the need for non-linear grey-box system identification.
The physical-system that we have in the lab is characterized by a well-defined mathematical model with:
15 input-signals (degrees of freedom)
30 fixed, unknown, parameters (estimation target)
4 output signals (observations)
I am interested in estimating these 30 unknown parameters, while the values of the 15 input signals may be set arbitrarily, and while monitoring the values of the 4 output signals.
The mathematical model, gives the 4 output signals as a function of: the 15 input signals and the 30 parameters, using highly non-linear functions.
I wonder if the JMP SW package has a module that can perform this identification task.
