From signal data, you can estimate model parameters and initial conditions of single or multiple input and output Simulink® models.
Simulink Design Optimization™ software lets you estimate model parameters from the following types of data:
Time-domain data — Data with one or more input variables u(t) and one or more output variables y(t), sampled as a function of time. See Import Data for Parameter Estimation.
Time-series data — Data stored in time-series objects. See Time-Series Data.
Simulink Design Optimization software estimates model parameters by comparing the measured signal data with simulation data generated from the Simulink model. Using optimization techniques, the software estimates the parameters and initial conditions of states to minimize a user-selected cost function. The cost function typically calculates a least-square error between the measured and simulated data. To learn more, see Estimate Parameters from Measured Data.