CD Construct Stochastic Model VI

Owning Palette: Stochastic Systems VIs

Requires: Control Design and Simulation Module

Creates a stochastic state-space representation of a system using the matrices A, B, C, D, G, and H, and the Sampling Time. This VI also produces a stochastic state-space model that specifies the data in symbolic form. Wire data to the A, B, C, D, G, or H inputs to determine the polymorphic instance to use or manually select the instance.

Note  If you do not wire a value to the A, B, C, D, G, H, or symbolic parameters, this VI replaces the unwired parameters with an appropriately-sized vector or matrix of zeros.

This VI uses the CD Verify Stochastic Model Properties VI to verify that the dimensions of the A, B, C, D, G, and H matrices are consistent with each other.

CD Construct Stochastic Model (Numeric)

	Sampling Time (s) specifies the sampling time of the system model and determines whether the model represents a continuous-time or discrete-time system. If the model represents a continuous-time system, Sampling Time must equal zero. If the model represents a discrete-time system, Sampling Time must be greater than zero and equal to the sampling rate, in seconds, of the discrete system. The default is 0. Note  If you use the inputs to create a continuous-time system, setting the Sampling Time to a value greater than zero does not yield the discrete-time equivalent of the system. You must use the CD Convert Continuous Stochastic to Discrete Stochastic VI to convert the continuous-time system to the discrete-time equivalent of the system.
	A specifies the system matrix that describes the dynamics of the states of the system.
	B specifies the input matrix that relates the inputs to the states.
	C specifies the output matrix that relates the outputs to the states.
	D specifies the transmission matrix that relates the inputs to the outputs.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	G specifies the matrix that relates the process noise vector to the model states.
	H specifies the matrix that relates the process noise vector to the model outputs.
	Stochastic State-Space Model returns a mathematical representation of a stochastic state-space model. The data consists of matrices A, B, C, D, G, and H. To access the model data, use the CD Get Data from Stochastic Model VI.
	error out contains error information. This output provides standard error out functionality.

CD Construct Stochastic Model (Symbolic)

	Sampling Time (s) specifies the sampling time of the system model and determines whether the model represents a continuous-time or discrete-time system. If the model represents a continuous-time system, Sampling Time must equal zero. If the model represents a discrete-time system, Sampling Time must be greater than zero and equal to the sampling rate, in seconds, of the discrete system. The default is 0. Note  If you use the inputs to create a continuous-time system, setting the Sampling Time to a value greater than zero does not yield the discrete-time equivalent of the system. You must use the CD Convert Continuous Stochastic to Discrete Stochastic VI to convert the continuous-time system to the discrete-time equivalent of the system.
	Symbolic A is the symbolic representation of the system matrix that describes the dynamics of the states of the system.
	Symbolic B is the symbolic representation of the input matrix of the system that relates the inputs to the states.
	Symbolic C is the symbolic representation of the output matrix that relates the outputs to the states.
	Symbolic D is the symbolic representation of the transmission matrix that relates the inputs to the outputs.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	Symbolic G is the symbolic representation of the matrix that relates the process noise to the model states.
	Symbolic H is the symbolic representation of the matrix that relates the process noise to the model outputs.
	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.
	Stochastic State-Space Model returns a mathematical representation of a stochastic state-space model. The data consists of matrices Symbolic A, Symbolic B, Symbolic C, Symbolic D, Symbolic G, and Symbolic H. To access the model data, use the CD Get Data from Stochastic Model VI.
	error out contains error information. This output provides standard error out functionality.