If you are estimating a nonlilnear model, then the fitnlm function will give you the necessary statistics on the parameters, and the associated predict function will estimate the confidence intervals on the fitted function.
It would likely be best to estimate the system with the data and get the relevant parameter estimates and confidence intervals for them, and then assess it with the associated predict function.

