bodeplot
Plot Bode frequency response of dynamic system
Description
The bodeplot
function plots the Bode magnitude and phase of a
dynamic system
model and returns a
BodePlot
chart object. To customize the plot, modify the properties of the
chart object using dot notation. For more information, see Customize Linear Analysis Plots at Command Line.
To obtain frequency response data, use bode
.
Creation
Syntax
Description
plots the Bode magnitude and phase of the dynamic system model bp
= bodeplot(sys
)sys
and returns the corresponding chart object.
If sys
is a multi-input, multi-output (MIMO) model, then
bodeplot
produces a grid of Bode plots with each plot displaying the
frequency response of one input-output pair.
If sys
is a model with complex coefficients, then in:
Log frequency scale, the plot shows two branches, one for positive frequencies and one for negative frequencies. The plot also shows arrows to indicate the direction of increasing frequency values for each branch.
Linear frequency scale, the plot shows a single branch with a symmetric frequency range centered at a frequency value of zero.
plots the Bode frequency response with the plotting options specified in
bp
= bodeplot(___,plotoptions
)plotoptions
. Settings you specify in
plotoptions
override the plotting preferences for the current
MATLAB® session. This syntax is useful when you want to write a script to generate
multiple plots that look the same regardless of the local preferences.
plots the Bode response in the specified parent graphics container, such as a
bp
= bodeplot(parent
,___)Figure
or TiledChartLayout
, and sets the
Parent
property. Use this syntax when you want to create a plot
in a specified open figure or when creating apps in App Designer.
Input Arguments
sys
— Dynamic system
dynamic system model | model array
Dynamic system, specified as a SISO or MIMO dynamic system model or array of dynamic system models. Dynamic systems that you can use include:
Continuous-time or discrete-time numeric LTI models, such as
tf
,zpk
, orss
models.Sparse state-space models, such as
sparss
ormechss
models. Frequency gridw
must be specified for sparse models.Generalized or uncertain LTI models such as
genss
oruss
(Robust Control Toolbox) models. Using uncertain models requires Robust Control Toolbox™ software.For tunable control design blocks, the function evaluates the model at its current value to plot the response.
For uncertain control design blocks, the function plots the nominal value and random samples of the model.
Frequency-response data models such as
frd
models. For such models, the function plots the response at the frequencies defined in the model.Identified LTI models, such as
idtf
(System Identification Toolbox),idss
(System Identification Toolbox), oridproc
(System Identification Toolbox) models. Using identified models requires System Identification Toolbox™ software.
If sys
is an array of models, the plot shows responses of all models in
the array on the same axes.
LineSpec
— Line style, marker, and color
string | character vector
Line style, marker, and color, specified as a string or character vector containing symbols. The symbols can appear in any order. You do not need to specify all three characteristics (line style, marker, and color). For example, if you omit the line style and specify the marker, then the plot shows only the marker and no line.
Example: '--or'
is a red dashed line with circle markers
Line Style | Description |
---|---|
"-" | Solid line |
"--" | Dashed line |
":" | Dotted line |
"-." | Dash-dotted line |
Marker | Description |
---|---|
"o" | Circle |
"+" | Plus sign |
"*" | Asterisk |
"." | Point |
"x" | Cross |
"_" | Horizontal line |
"|" | Vertical line |
"s" | Square |
"d" | Diamond |
"^" | Upward-pointing triangle |
"v" | Downward-pointing triangle |
">" | Right-pointing triangle |
"<" | Left-pointing triangle |
"p" | Pentagram |
"h" | Hexagram |
Color | Description |
---|---|
"r" | red |
"g" | green |
"b" | blue |
"c" | cyan |
"m" | magenta |
"y" | yellow |
"k" | black |
"w" | white |
w
— Frequencies
{wmin,wmax}
| vector | []
Frequencies at which to compute the response, specified as one of the following:
Cell array of the form
{wmin,wmax}
— Compute the response at frequencies in the range fromwmin
towmax
. Ifwmax
is greater than the Nyquist frequency ofsys
, the response is computed only up to the Nyquist frequency.Vector of frequencies — Compute the response at each specified frequency. For example, use
logspace
to generate a row vector with logarithmically spaced frequency values. The vectorw
can contain both positive and negative frequencies.[]
— Automatically select frequencies based on system dynamics.
For models with complex coefficients, if you specify a frequency range of [wmin,wmax] for your plot, then in:
Log frequency scale, the plot frequency limits are set to [wmin,wmax] and the plot shows two branches, one for positive frequencies [wmin,wmax] and one for negative frequencies [–wmax,–wmin].
Linear frequency scale, the plot frequency limits are set to [–wmax,wmax] and the plot shows a single branch with a symmetric frequency range centered at a frequency value of zero.
Specify frequencies in units of rad/TimeUnit
, where TimeUnit
is the TimeUnit
property of the model.
plotoptions
— Bode plot options
bodeoptions
object
Bode plot options, specified as a bodeoptions
object. You can use these options to
customize the Bode plot appearance. Settings you specify in
plotoptions
override the preference settings for the current
MATLAB session.
parent
— Parent container
Figure
object (default) | TiledChartLayout
object | UIFigure
object | UIGridLayout
object | UIPanel
object | UITab
object
Parent container of the chart, specified as one of the following objects:
Figure
TiledChartLayout
UIFigure
UIGridLayout
UIPanel
UITab
Properties
Note
The properties listed here are only a subset. For a complete list, see BodePlot Properties.
Responses
— Model responses
BodeResponse
object | array of BodeResponse
objects
Model responses, specified as a BodeResponse
object or an array of such objects. Use this property to modify the dynamic system model or appearance for each response in the plot. Each BodeResponse
object has the following fields.
SourceData
— Source data
structure
Source data for the response, specified as a structure with the following fields.
Model
— Dynamic system
dynamic system model | model array
Dynamic system, specified as a SISO or MIMO dynamic system model or array of dynamic system models.
When you initially create a plot, Model
matches the value you specify for sys
.
FrequencySpec
— Frequencies
{wmin,wmax}
| vector | []
Frequencies at which to compute the response, specified as one of the following:
Cell array of the form
{wmin,wmax}
— Compute the response at frequencies in the range fromwmin
towmax
.Vector of frequencies — Compute the response at each specified frequency. For example, use
logspace
to generate a row vector with logarithmically spaced frequency values. The vectorw
can contain both positive and negative frequencies.[]
— Automatically select frequencies based on system dynamics.
Specify frequencies in units of rad/TimeUnit
, where TimeUnit
is the TimeUnit
property of the model.
When you initially create a plot:
FrequencySpec
matches the value you specify for thew
argument.If you do not specify
w
,FrequencySpec
is empty and frequencies are selected based on the system dynamics.
Name
— Response name
string | character vector
Response name, specified as a string or character vector and stored as a string.
Visible
— Response visibility
"on"
(default) | on/off logical value
Response visibility, specified as one of the following logical on/off values:
"on"
,1
, ortrue
— Display the response in the plot."off"
,0
, orfalse
— Do not display the response in the plot.
The value is stored as an on/off logical value of type matlab.lang.OnOffSwitchState
.
LegendDisplay
— Option to list response in legend
"on"
(default) | on/off logical value
Option to list response in legend, specified as one of the following logical on/off values:
"on"
,1
, ortrue
— List the response in the legend."off"
,0
, orfalse
— Do not list the response in the legend.
The value is stored as an on/off logical value of type matlab.lang.OnOffSwitchState
.
MarkerStyle
— Marker style
"none"
| "o"
| "+"
| "*"
| "."
| ...
Marker style, specified as one of the following values.
Marker | Description |
---|---|
"none" | No marker |
"o" | Circle |
"+" | Plus sign |
"*" | Asterisk |
"." | Point |
"x" | Cross |
"_" | Horizontal line |
"|" | Vertical line |
"s" | Square |
"d" | Diamond |
"^" | Upward-pointing triangle |
"v" | Downward-pointing triangle |
">" | Right-pointing triangle |
"<" | Left-pointing triangle |
"p" | Pentagram |
"h" | Hexagram |
Color
— Plot color
RGB triplet | hexadecimal color code | color name
Plot color, specified as an RGB triplet or a hexadecimal color code and stored as an RGB triplet.
Alternatively, you can specify some common colors by name. The following table lists these colors and their corresponding RGB triplets and hexadecimal color codes.
Color Name | RGB Triplet | Hexadecimal Color Code |
---|---|---|
| [1 0 0] | #FF0000 |
| [0 1 0] | #00FF00 |
| [0 0 1] | #0000FF |
| [0 1 1] | #00FFFF |
| [1 0 1] | #FF00FF |
| [1 1 0] | #FFFF00 |
| [0 0 0] | #000000 |
| [1 1 1] | #FFFFFF |
LineStyle
— Line style
"-"
| "--"
| ":"
| "-."
Line style, specified as one of the following values.
Line Style | Description |
---|---|
"-" | Solid line |
"--" | Dashed line |
":" | Dotted line |
"-." | Dash-dotted line |
MarkerSize
— Marker size
positive scalar
Marker size, specified as a positive scalar.
LineWidth
— Line width
positive scalar
Line width, specified as a positive scalar.
Characteristics
— Response characteristics
CharacteristicsManager
object
Response characteristics to display in the plot, specified as a
CharacteristicsManager
object with the following properties.
FrequencyPeakResponse
— Visibility of peak response
structure
Visibility of peak response in magnitude plot, specified as a structure with the following field.
Visible
— Peak response visibility
"off"
(default) | on/off logical value
Peak response visibility, specified as one of the following logical on/off values:
"on"
,1
, ortrue
— Display the peak response."off"
,0
, orfalse
— Do not display the peak response.
The value is stored as an on/off logical value of type matlab.lang.OnOffSwitchState
.
AllStabilityMargins
— Visibility of all stability margins
structure
Visibility of all stability margins, specified as a structure with the following field.
Visible
— Margin visibility
"off"
(default) | on/off logical value
Margin visibility, specified as one of the following logical on/off values:
"on"
,1
, ortrue
— Display the margins."off"
,0
, orfalse
— Do not display the margins.
The value is stored as an on/off logical value of type matlab.lang.OnOffSwitchState
.
MinimumStabilityMargins
— Visibility of minimum stability margins
structure
Visibility of minimum stability margins, specified as a structure with the following field.
Visible
— Margin visibility
"off"
(default) | on/off logical value
Margin visibility, specified as one of the following logical on/off values:
"on"
,1
, ortrue
— Display the margins."off"
,0
, orfalse
— Do not display the margins.
The value is stored as an on/off logical value of type matlab.lang.OnOffSwitchState
.
ConfidenceRegion
— Confidence region
CharacteristicOption
object
Confidence region for identified models, specified as a
CharacteristicOption
object with the following properties.
Visible
— Confidence region visibility
"off"
(default) | on/off logical value
Confidence region visibility, specified as one of the following logical on/off values:
"on"
,1
, ortrue
— Display the confidence region."off"
,0
, orfalse
— Do not display the confidence region.
The value is stored as an on/off logical value of type matlab.lang.OnOffSwitchState
.
NumberOfStandardDeviations
— Number of standard deviations
1
(default) | positive scalar
Number of standard deviations to display for the confidence region, specified as a positive scalar.
Dependencies
ConfidenceRegion
is supported only for identified
models, which require System Identification Toolbox software.
FrequencyUnit
— Frequency units
"rad/s"
| "Hz"
| "rpm"
| ...
Frequency units, specified as one of the following values:
"Hz"
"rad/s"
"rpm"
"kHz"
"MHz"
"GHz"
"rad/nanosecond"
"rad/microsecond"
"rad/millisecond"
"rad/minute"
"rad/hour"
"rad/day"
"rad/week"
"rad/month"
"rad/year"
"cycles/nanosecond"
"cycles/microsecond"
"cycles/millisecond"
"cycles/hour"
"cycles/day"
"cycles/week"
"cycles/month"
"cycles/year"
Dependencies
By default, the response uses the frequency units of the plotted linear system. You can override the default units by specifying toolbox preferences. For more information, see Specify Toolbox Preferences for Linear Analysis Plots.
FrequencyScale
— Frequency scale
"log"
| "linear"
Frequency scale, specified as either "log"
or "linear"
.
Dependencies
The default frequency scale depends on the toolbox preferences. For more information, see Specify Toolbox Preferences for Linear Analysis Plots.
MagnitudeUnit
— Magnitude units
"dB"
| "abs"
Magnitude units, specified as one of the following:
"dB"
— Decibels"abs"
— Absolute value
Dependencies
If
MagnitudeScale
is"log"
when you setMagnitudeUnit
to"dB"
, the software automatically changesMagnitudeScale
to"linear"
.The default magnitude units depend on the toolbox preferences. For more information, see Specify Toolbox Preferences for Linear Analysis Plots.
MagnitudeScale
— Magnitude scale
"log"
| "linear"
Magnitude scale, specified as either "log"
or "linear"
.
Dependencies
Setting
MagnitudeScale
to"log"
is not supported whenMagnitudeUnit
is"dB"
.The default magnitude scale depends on the toolbox preferences. For more information, see Specify Toolbox Preferences for Linear Analysis Plots.
PhaseUnit
— Phase units
"deg"
| "rad"
Phase units, specified as one of the following:
"deg"
— Degrees"rad"
— Radians
Dependencies
The default phase units depend on the toolbox preferences. For more information, see Specify Toolbox Preferences for Linear Analysis Plots.
MagnitudeVisible
— Option to display magnitude plot
"on"
(default) | on/off logical value
Option to display magnitude plot, specified as one of the following logical on/off values:
"on"
,1
, ortrue
— Display the magnitude plot."off"
,0
, orfalse
— Hide the magnitude plot.
The value is stored as an on/off logical value of type matlab.lang.OnOffSwitchState
.
PhaseVisible
— Option to display phase plot
"on"
(default) | on/off logical value
Option to display phase plot, specified as one of the following logical on/off values:
"on"
,1
, ortrue
— Display the phase plot."off"
,0
, orfalse
— Hide the phase plot.
The value is stored as an on/off logical value of type matlab.lang.OnOffSwitchState
.
PhaseWrappingEnabled
— Option to enable phase wrapping
on/off logical value
Option to enable phase wrapping, specified as one of the following logical on/off values:
"on"
,1
, ortrue
— Enable phase wrapping. The phase shown in the response wraps to remain in the range defined byPhaseWrappingBranch
."off"
,0
, orfalse
— Disable phase wrapping.
The value is stored as an on/off logical value of type matlab.lang.OnOffSwitchState
.
Dependencies
The default phase-wrapping configuration depends on the toolbox preferences. For more information, see Specify Toolbox Preferences for Linear Analysis Plots.
When both phase wrapping and phase matching are enabled, the software performs the phase matching followed by the phase wrapping.
PhaseWrappingBranch
— Lower limit of phase-wrapping range
scalar
Lower limit of phase-wrapping range, specified as a scalar value in degrees. The phase-wrapping range is [B,B+360), where B is equal to PhaseWrappingBranch
.
Dependencies
This value is ignored when
PhaseMatchingEnabled
is"off"
.The default phase-wrapping configuration depends on the toolbox preferences. For more information, see Specify Toolbox Preferences for Linear Analysis Plots.
PhaseMatchingEnabled
— Option to enable phase matching
"off"
(default) | on/off logical value
Option to enable phase matching, specified as one of the following logical on/off values:
"on"
,1
, ortrue
— Enable phase matching such that the phase response matches the value specified inPhaseMatchingValue
at the frequency specified inPhaseMatchingFrequency
. The remaining phase response shifts to maintain the same phase profile."off"
,0
, orfalse
— Disable phase matching.
The value is stored as an on/off logical value of type matlab.lang.OnOffSwitchState
.
Dependencies
When both phase wrapping and phase matching are enabled, the software performs the phase matching followed by the phase wrapping.
PhaseMatchingFrequency
— Phase matching frequency
0
(default) | scalar
Phase matching frequency, specified as a scalar.
Dependencies
This value is ignored when PhaseMatchingEnabled
is "off"
.
PhaseMatchingValue
— Phase matching response value
0
(default) | scalar
Phase matching response value, specified as a scalar.
Dependencies
This value is ignored when PhaseMatchingEnabled
is "off"
.
MinimumGainEnabled
— Option to enable minimum gain
"off"
(default) | on/off logical value
Option to enable minimum gain for plotting, specified as one of the following logical on/off values:
"on"
,1
, ortrue
— Set the minimum gain for plotting to theMinimumGainValue
property value."off"
,0
, orfalse
— Set the minimum gain for plotting automatically based on the system dynamics.
The value is stored as an on/off logical value of type matlab.lang.OnOffSwitchState
.
Dependencies
The default minimum-gain configuration depends on the toolbox preferences. For more information, see Specify Toolbox Preferences for Linear Analysis Plots.
MinimumGainValue
— Minimum gain value
0
(default) | scalar
Minimum gain value for plotting, specified as a scalar.
Dependencies
To apply the minimum gain value, set the
MinimumGainEnabled
property to"on"
.The default minimum-gain configuration depends on the toolbox preferences. For more information, see Specify Toolbox Preferences for Linear Analysis Plots.
Dependencies
Visible
— Chart visibility
"on"
(default) | on/off logical value
Chart visibility, specified as one of the following logical on/off values:
"on"
,1
, ortrue
— Display the chart."off"
,0
, orfalse
— Hide the chart without deleting it. You still can access the properties of chart when it is not visible.
The value is stored as an on/off logical value of type matlab.lang.OnOffSwitchState
.
IOGrouping
— Grouping of inputs and outputs pairs
"none"
(default) | "inputs"
| "outputs"
| "all"
Grouping of inputs and outputs pairs, specified as one of the following:
"none"
— Do not group inputs or outputs."inputs"
— Group only inputs."outputs"
— Group only outputs."all"
— Group all input-output pairs.
InputVisible
— Option to display inputs
on/off logical value | array of on/off logical values
Option to display inputs, specified as one of the following logical on/off values or an array of such values:
"on"
,1
, ortrue
— Display the corresponding input."off"
,0
, orfalse
— Hide the corresponding input.
InputVisible
is an array when the plotted system has multiple inputs. By
default, all inputs are visible in the plot.
The value is stored as an on/off logical value of type matlab.lang.OnOffSwitchState
or an array of such values.
OutputVisible
— Option to display outputs
on/off logical value | array of on/off logical values
Option to display outputs, specified as one of the following logical on/off values or an array of such values:
"on"
,1
, ortrue
— Display the corresponding output."off"
,0
, orfalse
— Hide the corresponding output.
OutputVisible
is an array when the plotted system has multiple outputs.
By default, all outputs are visible in the plot.
The value is stored as an on/off logical value of type matlab.lang.OnOffSwitchState
or an array of such values.
Object Functions
addResponse | Add dynamic system response to existing response plot |
showConfidence (System Identification Toolbox) | Display confidence regions on response plots for identified models |
Examples
Customize Bode Plot
For this example, use the plot handle to change the frequency units to Hz and turn off the phase plot.
Generate a random state-space model with 5 states and create the Bode plot with chart object bp
.
rng("default")
sys = rss(5);
bp = bodeplot(sys);
Change the units to Hz and suppress the phase plot by modifying the chart object.
bp.FrequencyUnit = "Hz"; bp.PhaseVisible = "off";
The Bode plot automatically updates when you modify the chart object.
Custom Bode Plot Settings Independent of Preferences
For this example, create a Bode plot that uses 15-point red text for the title and sets a custom title. When you specify plot properties explicitly using bodeoptions
, the specified properties override the MATLAB session preferences. Thus, the plot looks the same regardless of the preferences of the MATLAB session in which it is generated.
First, create a default options set using bodeoptions
.
opts = bodeoptions;
Next, change the required properties of the options set opts
. Because opt.Title
is a structure, specify the properties of the plot title by specifying the fields and values of that structure.
opts.Title.FontSize = 15; opts.Title.Color = [1 0 0]; opts.Title.String = 'System Frequency Response'; opts.FreqUnits = 'Hz';
Now, create a Bode plot using the options set opts
.
bodeplot(tf(1,[1,1]),opts);
Because opts
begins with a fixed set of options, the plot result is independent of the toolbox preferences of the MATLAB session.
Customized Bode Plot of Transfer Function
For this example, create a Bode plot of the following continuous-time SISO dynamic system. Then, turn the grid on, rename the plot and change the frequency scale.
Create the transfer function sys
.
sys = tf([1 0.1 7.5],[1 0.12 9 0 0]);
Create the Bode plot. Specify plot properties by modifying the returned chart object.
bp = bodeplot(sys); bp.FrequencyScale = "linear"; title("Bode Plot of Transfer Function"); grid on
bodeplot
automatically selects the plot range based on the system dynamics.
Bode Plot with Specified Frequency Scale and Units
For this example, consider a MIMO state-space model with 3 inputs, 3 outputs and 3 states. Create a Bode plot with linear frequency scale, specify frequency units in Hz and turn the grid on.
Create the MIMO state-space model sys_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)
State-space model with 3 outputs, 3 inputs, and 3 states.
Create a Bode plot and return the corresponding chart object.
bp = bodeplot(sys_mimo);
Customize the plot by updating properties of the chart object.
bp.FrequencyScale = "linear"; bp.FrequencyUnit = "Hz"; grid on
The Bode plot automatically updates when you modify the chart object properties. For MIMO models, bodeplot
produces an array of Bode plots, each plot displaying the frequency response of one I/O pair.
Match Phase at Specified Frequency
For this example, match the phase of your system response such that the phase at 1 rad/sec is 150 degrees.
First, create a Bode plot of a transfer function system with chart object bp
.
sys = tf(1,[1 1]); bp = bodeplot(sys);
Enable phase matching and set the phase matching frequency and value.
bp.PhaseMatchingEnabled = "on";
bp.PhaseMatchingFrequency = 1;
bp.PhaseMatchingValue = 150;
The first bode plot has a phase of -45 degrees at a frequency of 1 rad/s. Setting the phase matching options so that at 1 rad/s the phase is near 150 degrees yields the second Bode plot. Note that, however, the phase can only be -45 + N*360, where N is an integer. So the plot is set to the nearest allowable phase, namely 315 degrees (or ).
Display Confidence Regions of Identified Models
For this example, compare the frequency responses of two identified state-space models with 2 and 6 states along with their 2 confidence regions.
Load the identified state-space model data and estimate the two models using n4sid
. Using n4sid
requires a System Identification Toolbox™ license.
load iddata1
sys1 = n4sid(z1,2);
sys2 = n4sid(z1,6);
Create a Bode plot of the two systems.
bodeplot(sys1,'r',sys2,'b'); legend('sys1','sys2');
From the plot, observe that both models produce about 70% fit to data. However, sys2
shows higher uncertainty in its frequency response, especially close to the Nyquist frequency. Now, use linspace
to create a vector of frequencies and plot the Bode response using the frequency vector w
.
w = linspace(8,10*pi,256); bp = bodeplot(sys1,sys2,w); legend('sys1','sys2');
Enable phase matching, specify the standard deviation of the confidence region, and display the confidence region.
bp.PhaseMatchingEnabled = "on"; bp.Characteristics.ConfidenceRegion.NumberOfStandardDeviations = 2; bp.Characteristics.ConfidenceRegion.Visible = "on";
Alternatively, you can use the showconfidence
command to display the confidence regions on the Bode plot.
showConfidence(bp)
Frequency Response of Identified Parametric and Nonparametric Models
For this example, compare the frequency response of a parametric model, identified from input/output data, to a non-parametric model identified using the same data. Identify parametric and non-parametric models based on the data.
Load the data and create the parametric and non-parametric models using tfest
and spa
, respectively.
load iddata2 z2; w = linspace(0,10*pi,128); sys_np = spa(z2,[],w); sys_p = tfest(z2,2);
spa
and tfest
require System Identification Toolbox™ software. The model sys_np
is a non-parametric identified model while, sys_p
is a parametric identified model.
Create a Bode plot that includes both systems. Enable phase macthing for this plot.
bp = bodeplot(sys_p,sys_np,w); bp.PhaseMatchingEnabled = "on"; grid on legend('Parametric Model','Non-Parametric model');
Algorithms
The software computes the frequency response as follows:
Compute the zero-pole-gain (
zpk
) representation of the dynamic system.Evaluate the gain and phase of the frequency response based on the zero, pole, and gain data for each input/output channel of the system.
For continuous-time systems,
bode
evaluates the frequency response on the imaginary axis s = jω and considers only positive frequencies.For discrete-time systems,
bode
evaluates the frequency response on the unit circle. To facilitate interpretation, the command parameterizes the upper half of the unit circle as:where Ts is the sample time and ωN is the Nyquist frequency. The equivalent continuous-time frequency ω is then used as the x-axis variable. Because is periodic with period 2ωN,
bode
plots the response only up to the Nyquist frequency ωN. Ifsys
is a discrete-time model with unspecified sample time,bode
uses Ts = 1.
Version History
Introduced before R2006aR2024b: Improved customization workflows and integration with MATLAB plotting tools
Starting in R2024b, bodeplot
returns a BodePlot
chart
object. Previously, the bodeplot
function returned a handle to the
resulting plot.
The new chart object allows you to customize your plot using dot notation.
The new chart object also improves integration with MATLAB plotting tools. For example:
You can now add Bode plots to tiled chart layouts.
Saving and loading a parent figure now maintains full plot interactivity.
You can add a response your Bode plot using the new
addResponse
function.
The following functionality changes might require updates to your code.
The
gca
function now returns the chart object rather than an axes within the plot.You can no longer access the graphics objects within a Bode plot using the
Children
property of its parent figure.
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