Estimates the A and C matrix in a discrete-time state-space model from time-domain data that was preprocessed by dordrs.
[A,C] = dmodrs®
This function estimates the A and C matrices corresponding to an n th order discrete-time LTI state-space model. The compressed data matrix R from the preprocessor function dordrs is used to this end. As n is determined from the x matrix that was passed to dordrs, it does not have to be specified here.
R is a compressed data matrix containing information about the measured data, as well as information regarding the system dimensions.
A is the state-space model's A matrix.
C is the state-space model's C matrix.
The data matrix obtained with dordrs contains the weighted left singular vectors of the R matrix. The first n of these vectors form an estimate Os of the system's extended observability matrix:
The estimates Ahat and Chat are obtained by linear regression:
This a top-level function that is used directly by the user.