For this example, use the plot handle to change the time units to minutes and turn on the grid.

Generate a random state-space model with 5 states and create the impulse response plot with plot handleh。

rng（“默认”) sys = rss(5); h = impulseplot(sys);

Change the time units to minutes and turn on the grid. To do so, edit properties of the plot handle,husingsetoptions。

setoptions(h,'TimeUnits','minutes','网格','on');

脉冲图会在您打电话时自动更新setoptions。

Alternatively, you can also use the时波命令指定所需的绘图选项。首先，根据工具箱首选项创建一个选项集。

情节= timeoptions('cstprefs');

Change properties of the options set by setting the time units to minutes and enabling the grid.

情节。TimeUnits ='minutes'; plotoptions.Grid ='on'; impulseplot(sys,plotoptions);

您可以使用相同的选项集来创建具有相同自定义的多个脉冲图。根据您自己的工具箱首选项，您获得的情节可能与此图不同。在此示例中，仅您明确设置的属性TimeUnitsand网格, override the toolbox preferences.

For this example, consider a MIMO state-space model with 3 inputs, 3 outputs and 3 states. Create a impulse plot with red colored grid lines.

Create the MIMO state-space modelsys_mimo。

J = [8 -3 -3; -3 8 -3; -3 -3 8]; F = 0.2*eye(3); A = -J\F; B = inv(J); C = eye(3); D = 0; sys_mimo = ss(A,B,C,D); size(sys_mimo)

具有3个输出，3个输入和3个状态的状态空间模型。

用绘图手柄创建冲动图h并使用getoptions有关可用选项的列表。

h = ImpulSeplot（sys_mimo)

h = resppack.timeplot

p = getOptions（h）

p = Normalize: 'off' SettleTimeThreshold: 0.0200 RiseTimeLimits: [0.1000 0.9000] TimeUnits: 'seconds' ConfidenceRegionNumberSD: 1 IOGrouping: 'none' InputLabels: [1x1 struct] OutputLabels: [1x1 struct] InputVisible: {3x1 cell} OutputVisible: {3x1 cell} Title: [1x1 struct] XLabel: [1x1 struct] YLabel: [1x1 struct] TickLabel: [1x1 struct] Grid: 'off' GridColor: [0.1500 0.1500 0.1500] XLim: {3x1 cell} YLim: {3x1 cell} XLimMode: {3x1 cell} YLimMode: {3x1 cell}

Usesetoptions使用所需的自定义更新图。

setoptions(h,'网格','on','GridColor',[1 0 0]);

脉冲图会在您打电话时自动更新setoptions。For MIMO models,Impulseplotproduces a grid of plots, each plot displaying the impulse response of one I/O pair.

Compare the impulse response of a parametric identified model to a nonparametric (empirical) model, and view their 3-σ confidence regions. (Identified models require System Identification Toolbox™ software.)

Identify a parametric and a nonparametric model from sample data.

loadIDDATA1Z1sys1 = sest（z1,4）;sys2 = impulseest（z1）;

Plot the impulse responses of both identified models. Use the plot handle to display the 3-σ confidence regions.

t = -1：0.1：5;h = ImpulSeplot（sys1，'r',sys2,'b'，t）;showconconceidence（h，3）传奇（'parametric','nonparametric')

非参数模型SYS2shows higher uncertainty.

在此示例中，检查以下零极细胞模型的脉冲响应，并将冲动图限制在tFinal= 15 s。为标题使用15点蓝色文本。无论其生成的MATLAB会话的偏好如何，该图应看起来相同。

系统= zpk(-1,[-0.2+3j,-0.2-3j],1)*tf([1 1],[1 0.05]); tFinal = 15;

First, create a default options set using时波。

情节= timeoptions;

接下来更改选项集的必需属性情节。

plotoptions.title.fontsize = 15;plotOptions.title.color = [0 0 1];

现在，使用选项集创建冲动响应图情节。

h = ImpulSeplot（sys，tfinal，plotOptions）;

Because情节从固定的选项开始，绘图结果独立于MATLAB会话的工具箱首选项。