Initial condition response of state-space model

`initial(sys,x0)`

initial(sys,x0,Tfinal)

initial(sys,x0,t)

initial(sys1,sys2,...,sysN,x0)

initial(sys1,sys2,...,sysN,x0,Tfinal)

initial(sys1,sys2,...,sysN,x0,t)

[y,t,x] = initial(sys,x0)

[y,t,x] = initial(sys,x0,Tfinal)

[y,t,x] = initial(sys,x0,t)

`initial(sys,x0)`

calculates the unforced
response of a state-space (`ss`

)
model `sys`

with an initial condition on the states
specified by the vector `x0`

:

$$\begin{array}{cc}\dot{x}=Ax,& x(0)={x}_{0}\\ y=Cx& \end{array}$$

This function is applicable to either continuous- or discrete-time
models. When invoked without output arguments, `initial`

plots
the initial condition response on the screen.

`initial(sys,x0,Tfinal)`

simulates the response
from `t = 0`

to the final time `t = Tfinal`

.
Express `Tfinal`

in the system time units, specified
in the `TimeUnit`

property of `sys`

.
For discrete-time systems with unspecified sample time (```
Ts
= -1
```

), `initial`

interprets `Tfinal`

as
the number of sampling periods to simulate.

`initial(sys,x0,t)`

uses
the user-supplied time vector `t`

for simulation.
Express `t`

in the system time units, specified in
the `TimeUnit`

property of `sys`

.
For discrete-time models, `t`

should be of the form `0:Ts:Tf`

,
where `Ts`

is the sample time. For continuous-time
models, `t`

should be of the form `0:dt:Tf`

,
where `dt`

becomes the sample time of a discrete
approximation to the continuous system (see `impulse`

).

To plot the initial condition responses of several LTI models on a single figure, use

`initial(sys1,sys2,...,sysN,x0)`

`initial(sys1,sys2,...,sysN,x0,Tfinal)`

`initial(sys1,sys2,...,sysN,x0,t)`

(see `impulse`

for details).

When invoked with output arguments,

`[y,t,x] = initial(sys,x0)`

`[y,t,x] = initial(sys,x0,Tfinal)`

`[y,t,x] = initial(sys,x0,t)`

return the output response `y`

, the time vector `t`

used
for simulation, and the state trajectories `x`

. No
plot is drawn on the screen. The array `y`

has as
many rows as time samples (length of `t`

) and as
many columns as outputs. Similarly, `x`

has `length(t)`

rows
and as many columns as states.

You can change the properties of your plot, for example the units. For information on the ways to change properties of your plots, see Ways to Customize Plots.