CD Construct Noise Model VI

Control Design VI and Function

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CD Construct Noise Model VI

Owning Palette: Stochastic Systems VIs

Installed With: Control Design and Simulation Module

Constructs a first- and second-order statistical noise model. A noise model defines the statistical behavior of the process noise vector w and the measurement noise vector v. The data type you wire to the E{w}, E{v}, Q, R, or N parameter determines the polymorphic instance to use.

Note  If you do not wire a value to the E{w}, E{v}, Q, R, N, or symbolic parameters, this VI replaces the unwired parameters with an appropriately-sized vector or matrix of zeros.

This VI uses the CD Verify Noise Model VI to verify that the dimensions of the noise model are consistent with the Stochastic State-Space Model you provide.

Use the pull-down menu to select an instance of this VI.

 Place on the block diagram  Find on the Functions palette

CD Construct Noise Model (Numeric)

Stochastic State-Space Model specifies a mathematical representation of a stochastic system.
E{w} specifies the mean vector of the process noise vector w.
E{v} specifies the mean vector of the measurement noise vector v.
Q specifies the auto-covariance matrix of the process noise vector.
R specifies the auto-covariance matrix of the measurement noise vector.
error in describes error conditions that occur before this VI or function runs. The default is no error. If an error occurred before this VI or function runs, the VI or function passes the error in value to error out. This VI or function runs normally only if no error occurred before this VI or function runs. If an error occurs while this VI or function runs, it runs normally and sets its own error status in error out. Use the Simple Error Handler or General Error Handler VIs to display the description of the error code. Use exception control to treat what is normally an error as no error or to treat a warning as an error. Use error in and error out to check errors and to specify execution order by wiring error out from one node to error in of the next node.
status is TRUE (X) if an error occurred before this VI or function ran or FALSE (checkmark) to indicate a warning or that no error occurred before this VI or function ran. The default is FALSE.
code is the error or warning code. The default is 0. If status is TRUE, code is a nonzero error code. If status is FALSE, code is 0 or a warning code.
source specifies the origin of the error or warning and is, in most cases, the name of the VI or function that produced the error or warning. The default is an empty string.
N specifies the cross-covariance matrix between the process noise and the measurement noise vectors.
Note  If the process noise and measurement noise vectors are uncorrelated, either specify a matrix of zeros for this parameter or do not wire a value to this parameter.
Second-Order Statistics Noise Model Out returns a mathematical representation of the noise model of the Stochastic State-Space Model.
error out contains error information. If error in indicates that an error occurred before this VI or function ran, error out contains the same error information. Otherwise, it describes the error status that this VI or function produces. Right-click the error out front panel indicator and select Explain Error from the shortcut menu for more information about the error.
status is TRUE (X) if an error occurred or FALSE (checkmark) to indicate a warning or that no error occurred.
code is the error or warning code. If status is TRUE, code is a nonzero error code. If status is FALSE, code is 0 or a warning code.
source describes the origin of the error or warning and is, in most cases, the name of the VI or function that produced the error or warning.

CD Construct Noise Model (Symbolic)

Stochastic State-Space Model specifies a mathematical representation of a stochastic system.
Symbolic E{w} specifies the symbolic representation of the mean vector of the process noise vector.
Symbolic E{v} specifies the symbolic representation of the mean vector of the measurement noise vector.
Symbolic Q specifies the symbolic representation of the auto-covariance matrix of the process noise vector.
Symbolic R specifies the symbolic representation of the auto-covariance matrix of the measurement noise vector.
error in describes error conditions that occur before this VI or function runs. The default is no error. If an error occurred before this VI or function runs, the VI or function passes the error in value to error out. This VI or function runs normally only if no error occurred before this VI or function runs. If an error occurs while this VI or function runs, it runs normally and sets its own error status in error out. Use the Simple Error Handler or General Error Handler VIs to display the description of the error code. Use exception control to treat what is normally an error as no error or to treat a warning as an error. Use error in and error out to check errors and to specify execution order by wiring error out from one node to error in of the next node.
status is TRUE (X) if an error occurred before this VI or function ran or FALSE (checkmark) to indicate a warning or that no error occurred before this VI or function ran. The default is FALSE.
code is the error or warning code. The default is 0. If status is TRUE, code is a nonzero error code. If status is FALSE, code is 0 or a warning code.
source specifies the origin of the error or warning and is, in most cases, the name of the VI or function that produced the error or warning. The default is an empty string.
Symbolic N specifies the symbolic representation of the cross-covariance matrix between the process noise and measurement noise vectors.
Variables contains the name and value of each variable.
Name is a variable name this VI uses to define the data of the system model. Variable names can be a combination of letters and numbers. A variable name that begins with a capital letter E can produce unpredictable errors if parts of the original string represent numbers like 1E–2. Avoid terms beginning with E in such cases.
Value is the numeric value this VI associates with the variable. The VI uses this value to evaluate the model.
Second-Order Statistics Noise Model Out returns a mathematical representation of the noise model of the Stochastic State-Space Model.
error out contains error information. If error in indicates that an error occurred before this VI or function ran, error out contains the same error information. Otherwise, it describes the error status that this VI or function produces. Right-click the error out front panel indicator and select Explain Error from the shortcut menu for more information about the error.
status is TRUE (X) if an error occurred or FALSE (checkmark) to indicate a warning or that no error occurred.
code is the error or warning code. If status is TRUE, code is a nonzero error code. If status is FALSE, code is 0 or a warning code.
source describes the origin of the error or warning and is, in most cases, the name of the VI or function that produced the error or warning.
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