Creating and Manipulating Models

Command Summary

The next two tables give an overview of the main commands you can apply to LTI models.

Table 1-1: Creating LTI Models 

Command	Description
drss	Generate random discrete state-space model.
dss	Create descriptor state-space model.
filt	Create discrete filter with DSP convention.
frd	Create an FRD model.
frdata	Retrieve FRD model data.
get	Query LTI model properties.
set	Set LTI model properties.
rss	Generate random continuous state-space model.
ss	Create a state-space model.
ssdata, dssdata	Retrieve state-space data (respectively, descriptor state-space data).
tf	Create a transfer function.
tfdata	Retrieve transfer function data.
zpk	Create a zero-pole-gain model.
zpkdata	Retrieve zero-pole-gain data.

Table 1-2: Converting LTI Models 

Command	Description
c2d	Continuous- to discrete-time conversion.
d2c	Discrete- to continuous-time conversion.
d2d	Resampling of discrete-time models.
frd	Conversion to an FRD model.
pade	Padé approximation of input delays.
ss	Conversion to state space.
tf	Conversion to transfer function.
zpk	Conversion to zero-pole-gain.

Viewing LTI Systems As Matrices

Creating LTI Models