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blk = ltiblock.gain(name,Ny,Nu)
blk = ltiblock.gain(name,G)
Model object for creating tunable static gains. ltiblock.gain lets you parametrize tunable static gains for parameter studies or for automatic tuning with hinfstruct (requires Robust Control Toolbox).
ltiblock.gain is part of the Control Design Block family of parametric models. Other Control Design Blocks includeltiblock.pid, ltiblock.ss, and ltiblock.tf.
blk = ltiblock.gain(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 = ltiblock.gain(name,G) uses the double array G to dimension the block and initialize the tunable parameters.
name |
String specifying the block Name. (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. |
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 an ltiblock.gain parametric model to a numeric (non-tunable) model object, use model commands such as tf, zpk, or ss.
Gain |
Parametrization of the tunable gain. blk.Gain is a param.Continuous object. For general information about the properties of the param.Continuous object blk.Gain, see the param.Continuous object reference page. The following fields of blk.Gain are used when you tune blk using hinfstruct:
| ||||||
Ts |
Sampling time. For continuous-time models, Ts = 0. For discrete-time models, Ts is a positive scalar representing the sampling period expressed in the unit specified by the TimeUnit property of the model. To denote a discrete-time model with unspecified sampling time, set Ts = -1. Changing this property does not discretize or resample the model. Use c2d and d2c to convert between continuous- and discrete-time representations. Use d2d to change the sampling time of a discrete-time system. Default: 0 (continuous time) | ||||||
TimeUnit |
String representing the unit of the time variable, any time delays in the model (for continuous-time models), and the sampling time Ts (for discrete-time models). TimeUnit can take the following values:
Changing this property changes the overall system behavior. Use chgTimeUnit to convert between time units without modifying system behavior. Default: 'seconds' | ||||||
InputName |
Input channel names. Set InputName to a string for single-input model. For a multi-input model, set InputName to a cell array of strings. 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 software automatically expands the input names 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:
Default: Empty string '' for all input channels | ||||||
InputUnit |
Input channel units. Use InputUnit to keep track of input signal units. Set InputUnit to a string for single-input model, or to a cell array of strings for a multi-input model. InputUnit has no effect on system behavior. Default: Empty string '' 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 whose field names are the group names and whose field values are the input channels belong 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. Set OutputName to a string for single-output model. For a multi-output model, set OutputName to a cell array of strings. 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 software automatically expands the output names 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:
Default: Empty string '' for all input channels | ||||||
OutputUnit |
Output channel units. Use OutputUnit to keep track of output signal units. Set OutputUnit to a string for single-input model, or to a cell array of strings for a multi-input model. OutputUnit has no effect on system behavior. Default: Empty string '' for all input 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 whose field names are the group names and whose field values are the output channels belong 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. Set Name to a string to label the system. Default: '' | ||||||
Notes | Any text that you wish to associate with the system. Set Notes to a string or a cell array of strings. Default: {} | ||||||
UserData | Any type of data you wish to associate with system. Set UserData to any MATLAB data type. Default: [] |
Create a 2-by-2 parametric gain block of the form
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where g1 and g2 are tunable parameters, and the off-diagonal elements are fixed to zero.
blk = ltiblock.gain('gainblock',2,2); % 2 outputs, 2 inputs
blk.Gain.Free = [1 0; 0 1]; % fix off-diagonal entries to zeroAll 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 = ltiblock.gain('gainblock',G);Create a 2–by-2 parametric gain block and assign names to the inputs.
blk = ltiblock.gain('gainblock',2,2) % 2 outputs, 2 inputs
blk.InputName = {'Xerror','Yerror'} % assign input names
genss | ltiblock.pid | ltiblock.ss | ltiblock.tf

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