tunableGain

Tunable static gain block

Syntax

blk = tunableGain(name,Ny,Nu) blk = tunableGain(name,G)

Description

Model object for creating tunable static gains. tunableGain lets you parametrize tunable static gains for parameter studies or for automatic tuning with tuning commands such as systune or looptune.

tunableGain is part of the Control Design Block family of parametric models. Other Control Design Blocks include tunablePID, tunableSS, and tunableTF.

Construction

blk = tunableGain(name,Ny,Nu) creates a parametric static gain block named name. This block has Ny outputs and Nu inputs. The tunable parameters are the gains across each of the Ny-by-Nu I/O channels.

blk = tunableGain(name,G) uses the double array G to dimension the block and initialize the tunable parameters.

Input Arguments

`name`	Block `Name`, specified as a character vector such as `'K'` or `'gain1'`. (See Properties.)
`Ny`	Non-negative integer specifying the number of outputs of the parametric static gain block `blk`.
`Nu`	Non-negative integer specifying the number of inputs of the parametric static gain block `blk`.
`G`	Double array of static gain values. The number of rows and columns of `G` determine the number of inputs and outputs of `blk`. The entries `G` are the initial values of the parametric gain block parameters.

Properties

Gain

Parametrization of the tunable gain.

blk.Gain is a param.Continuous object. For general information about the properties of the param.Continuous (Simulink Design Optimization) object blk.Gain, see the param.Continuous object reference page.

The following fields of blk.Gain are used when you tune blk using hinfstruct:

Field	Description
`Value`	Current value of the gain matrix. For a block that has `Ny` outputs and `Nu` inputs, `blk.Gain.Value` is a `Ny`-by-`Nu` matrix. If you use the `G` input argument to create `blk`, `blk.Gain.Value` initializes to the values of `G`. Otherwise, all entries of `blk.Gain.Value` initialize to zero. `hinfstruct` (Robust Control Toolbox) tunes all entries in `blk.Gain.Value` except those whose values are fixed by `blk.Gain.Free`. Default: Array of zero values
`Free`	Array of logical values determining whether the gain entries in `blk.Gain.Value` are fixed or free parameters. If `blk.Gain.Free(i,j) = 1`, then `blk.Gain.Value(i,j)` is a tunable parameter. If `blk.Gain.Free(i,j) = 0`, then `blk.Gain.Value(i,j)` is fixed. Default: Array of 1 (`true`) values
`Minimum`	Minimum value of the parameter. This property places a lower bound on the tuned value of the parameter. For example, setting `blk.Gain.Minimum = 1` ensures that all entries in the gain matrix have gain greater than 1. Default: `-Inf`
`Maximum`	Maximum value of the parameter. This property places an upper bound on the tuned value of the parameter. For example, setting `blk.Gain.Maximum = 100` ensures that all entries in the gain matrix have gain less than 100. Default: `Inf`

Ts

Sample time. For continuous-time models, Ts = 0. For discrete-time models, Ts is a positive scalar representing the sampling period. This value is expressed in the unit specified by the TimeUnit property of the model. To denote a discrete-time model with unspecified sample time, set Ts = -1.

Changing this property does not discretize or resample the model.

Default: 0 (continuous time)

TimeUnit

Units for the time variable, the sample time Ts, and any time delays in the model, specified as one of the following values:

'nanoseconds'
'microseconds'
'milliseconds'
'seconds'
'minutes'
'hours'
'days'
'weeks'
'months'
'years'

Changing this property has no effect on other properties, and therefore changes the overall system behavior. Use chgTimeUnit to convert between time units without modifying system behavior.

Default: 'seconds'

InputName

Input channel names, specified as one of the following:

Character vector — For single-input models, for example, 'controls'.
Cell array of character vectors — For multi-input models.

Alternatively, use automatic vector expansion to assign input names for multi-input models. For example, if sys is a two-input model, enter:

sys.InputName = 'controls';

The input names automatically expand to {'controls(1)';'controls(2)'}.

You can use the shorthand notation u to refer to the InputName property. For example, sys.u is equivalent to sys.InputName.

Input channel names have several uses, including:

Identifying channels on model display and plots
Extracting subsystems of MIMO systems
Specifying connection points when interconnecting models

Default: '' for all input channels

InputUnit

Input channel units, specified as one of the following:

Character vector — For single-input models, for example, 'seconds'.
Cell array of character vectors — For multi-input models.

Use InputUnit to keep track of input signal units. InputUnit has no effect on system behavior.

Default: '' for all input channels

InputGroup

Input channel groups. The InputGroup property lets you assign the input channels of MIMO systems into groups and refer to each group by name. Specify input groups as a structure. In this structure, field names are the group names, and field values are the input channels belonging to each group. For example:

sys.InputGroup.controls = [1 2];
sys.InputGroup.noise = [3 5];

creates input groups named controls and noise that include input channels 1, 2 and 3, 5, respectively. You can then extract the subsystem from the controls inputs to all outputs using:

sys(:,'controls')

Default: Struct with no fields

OutputName

Output channel names, specified as one of the following:

Character vector — For single-output models. For example, 'measurements'.
Cell array of character vectors — For multi-output models.

Alternatively, use automatic vector expansion to assign output names for multi-output models. For example, if sys is a two-output model, enter:

sys.OutputName = 'measurements';

The output names automatically expand to {'measurements(1)';'measurements(2)'}.

You can use the shorthand notation y to refer to the OutputName property. For example, sys.y is equivalent to sys.OutputName.

Output channel names have several uses, including:

Identifying channels on model display and plots
Extracting subsystems of MIMO systems
Specifying connection points when interconnecting models

Default: '' for all output channels

OutputUnit

Output channel units, specified as one of the following:

Character vector — For single-output models. For example, 'seconds'.
Cell array of character vectors — For multi-output models.

Use OutputUnit to keep track of output signal units. OutputUnit has no effect on system behavior.

Default: '' for all output channels

OutputGroup

Output channel groups. The OutputGroup property lets you assign the output channels of MIMO systems into groups and refer to each group by name. Specify output groups as a structure. In this structure, field names are the group names, and field values are the output channels belonging to each group. For example:

sys.OutputGroup.temperature = [1];
sys.InputGroup.measurement = [3 5];

creates output groups named temperature and measurement that include output channels 1, and 3, 5, respectively. You can then extract the subsystem from all inputs to the measurement outputs using:

sys('measurement',:)

Default: Struct with no fields

Name

System name, specified as a character vector. For example, 'system_1'.

Default: ''

Notes

Any text that you want to associate with the system, stored as a string or a cell array of character vectors. The property stores whichever data type you provide. For instance, if sys1 and sys2 are dynamic system models, you can set their Notes properties as follows:

sys1.Notes = "sys1 has a string.";
sys2.Notes = 'sys2 has a character vector.';
sys1.Notes
sys2.Notes

ans = 

    "sys1 has a string."


ans =

    'sys2 has a character vector.'

Default: [0×1 string]

UserData

Any type of data you want to associate with system, specified as any MATLAB^® data type.

Default: []

Examples

Create a 2-by-2 parametric gain block of the form

$[\begin{matrix} g_{1} & 0 \\ 0 & g_{2} \end{matrix}]$

where g₁ and g₂ are tunable parameters, and the off-diagonal elements are fixed to zero.

blk = tunableGain('gainblock',2,2);  % 2 outputs, 2 inputs
blk.Gain.Free = [1 0; 0 1];    % fix off-diagonal entries to zero

All entries in blk.Gain.Value initialize to zero. Initialize the diagonal values to 1 as follows.

blk.Gain.Value = eye(2);    % set diagonals to 1

Create a two-input, three-output parametric gain block and initialize all the parameter values to 1.

To do so, create a matrix to dimension the parametric gain block and initialize the parameter values.

G = ones(3,2);
blk = tunableGain('gainblock',G);

Create a 2–by-2 parametric gain block and assign names to the inputs.

blk = tunableGain('gainblock',2,2)   % 2 outputs, 2 inputs 
blk.InputName = {'Xerror','Yerror'}    % assign input names

Tips

Use the blk.Gain.Free field of blk to specify additional structure or fix the values of specific entries in the block. To fix the gain value from input i to output j, set blk.Gain.Free(i,j) = 0. To allow hinfstruct to tune this gain value, set blk.Gain.Free(i,j) = 1.
To convert a tunableGain parametric model to a numeric (non-tunable) model object, use model commands such as tf, zpk, or ss.

Compatibility Considerations

expand all

Name changed from ltiblock.gain

Behavior changed in R2016a

Prior to R2016a, tunableGain was called ltiblock.gain.

Documentation