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.

`impulse`

| `linearSystemAnalyzer`

| `lsim`

| `step `

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