If you use the data input argument to provide data collected using the Frequency
Response Estimator block, then sysest is a SISO model. In this case, the frequencies in
sysest are the frequencies you supply with the freqs input argument.
simout — Simulation data
cell array of Simulink.Timeseries objects
Simulation data collected during the estimation process, returned as a cell array of
Simulink.Timeseries objects. The cell array has dimensions m-by-n, where m is the
number of output points in the I/O set io, and n is the number of input points. This data
can be useful for:
- Examining estimation results using frest.simView (see “Examine Estimation
Results Using Simulation Results Viewer” on page 15-97) - Examining time-domain responses using frest.simCompare
Limitations
- If you use frestimate with an output analysis point in a model reference, the Total
number of instances allowed per top model configuration parameter of the
referenced model must be 1.
Tips
- For multiple-input multiple-output (MIMO) systems, frestimate injects the signal at
each input channel separately to simulate the corresponding output signals. The
estimation algorithm uses the inputs and the simulated outputs to compute the MIMO
frequency response. If you want to inject different input signals at the linearization
input points of a multiple-input system, treat your system as separate single-input
systems. Perform independent frequency response estimations for each linearization
input point using frestimate, and concatenate your frequency response results.
Algorithms
frestimate injects the input signal you specify (uest(t)) at the input analysis points. It
simulates the model and collects the response signal (yest(t)) at the output analysis points,
as illustrated below for a sinestream input.
frestimate