1. A method for identifying a model of a dynamic system, comprising: estimating a number of parameters for each of a number of models of the dynamic system; predicting an output variable using the estimated number of parameters for each of the number of models; calculating a rate of error of the predicted output variable for each of the number of models compared to an observed output variable; and identifying a best model among the number of models of the dynamic based on the calculated rate of errors.