SI Create Partially Known State-Space Model VI

Owning Palette: Partially Known Model Estimation VIs

Requires: Advanced Signal Processing Toolkit or Control Design and Simulation Module

Creates a state-space model for a partially known system. Use the SI Estimate Partially Known State-Space Model VI to estimate the model you create with this VI. You must manually select the polymorphic instance to use.

Examples

SI Create Partially Known State-Space Model (Continuous SISO)

	symbolic K specifies the symbolic representation of the Kalman gain. If symbolic K is not provided, the estimated state-space model contains only the deterministic part of the system.
	symbolic state-space specifies the matrices of a state-space model in symbolic representation. 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 that relates the inputs to the states of the system. symbolic C is the symbolic representation of the output matrix that relates the outputs to the states of the system. symbolic D is the symbolic representation of the transmission matrix that relates the inputs to the outputs of the system.
	variables specifies the names and values of the variables in the state-space model. name is a name this VI uses to define the variable 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 variable names beginning with E in such cases. initial guess is the initial guess of the numeric value this VI associates with the variable. upper limit specifies the upper limit to use to search for the optimal value of each variable. The default is Inf. lower limit specifies the lower limit to use to search for the optimal value of each variable. The default is –Inf.
	constants specifies the names and values of the constants in the state-space model. name specifies a name this VI uses to define the constant of the system model. Constant names can be a combination of letters and numbers. A constant name that begins with a capital letter E can produce unpredictable errors if parts of the original string represent numbers like 1E–2. Avoid variable names beginning with E in such cases. value specifies the numeric value this VI associates with the constant.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	symbolic initial state is the symbolic representation of the initial state.
	system model out returns information about the model structure, nominal or estimated parameters, identification result, and so on.
	error out contains error information. This output provides standard error out functionality.

SI Create Partially Known State-Space Model (Continuous MISO)

	symbolic K specifies the symbolic representation of the Kalman gain. If symbolic K is not provided, the estimated state-space model contains only the deterministic part of the system.
	symbolic state-space specifies the matrices of a state-space model in symbolic representation. 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 that relates the inputs to the states of the system. symbolic C is the symbolic representation of the output matrix that relates the outputs to the states of the system. symbolic D is the symbolic representation of the transmission matrix that relates the inputs to the outputs of the system.
	variables specifies the names and values of the variables in the state-space model. name is a name this VI uses to define the variable 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 variable names beginning with E in such cases. initial guess is the initial guess of the numeric value this VI associates with the variable. upper limit specifies the upper limit to use to search for the optimal value of each variable. The default is Inf. lower limit specifies the lower limit to use to search for the optimal value of each variable. The default is –Inf.
	constants specifies the names and values of the constants in the state-space model. name specifies a name this VI uses to define the constant of the system model. Constant names can be a combination of letters and numbers. A constant name that begins with a capital letter E can produce unpredictable errors if parts of the original string represent numbers like 1E–2. Avoid variable names beginning with E in such cases. value specifies the numeric value this VI associates with the constant.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	symbolic initial state is the symbolic representation of the initial state.
	system model out returns information about the model structure, nominal or estimated parameters, identification result, and so on.
	error out contains error information. This output provides standard error out functionality.

SI Create Partially Known State-Space Model (Continuous MIMO)

	symbolic K is the symbolic representation of the Kalman gain. If symbolic K is not provided, the estimated state-space model contains only the deterministic part of the system.
	symbolic state-space specifies the matrices of a state-space model in symbolic representation. 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 that relates the inputs to the states of the system. symbolic C is the symbolic representation of the output matrix that relates the outputs to the states of the system. symbolic D is the symbolic representation of the transmission matrix that relates the inputs to the outputs of the system.
	variables specifies the names and values of the variables in the state-space model. name is a name this VI uses to define the variable 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 variable names beginning with E in such cases. initial guess is the initial guess of the numeric value this VI associates with the variable. upper limit specifies the upper limit to use to search for the optimal value of each variable. The default is Inf. lower limit specifies the lower limit to use to search for the optimal value of each variable. The default is –Inf.
	constants specifies the names and values of the constants in the state-space model. name specifies a name this VI uses to define the constant of the system model. Constant names can be a combination of letters and numbers. A constant name that begins with a capital letter E can produce unpredictable errors if parts of the original string represent numbers like 1E–2. Avoid variable names beginning with E in such cases. value specifies the numeric value this VI associates with the constant.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	symbolic initial state is the symbolic representation of the initial state.
	system model out returns information about the model structure, nominal or estimated parameters, identification result, and so on.
	error out contains error information. This output provides standard error out functionality.

SI Create Partially Known State-Space Model (Discrete SISO)

	symbolic K specifies the symbolic representation of the Kalman gain. If symbolic K is not provided, the estimated state-space model contains only the deterministic part of the system.
	symbolic state-space specifies the matrices of a state-space model in symbolic representation. 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 that relates the inputs to the states of the system. symbolic C is the symbolic representation of the output matrix that relates the outputs to the states of the system. symbolic D is the symbolic representation of the transmission matrix that relates the inputs to the outputs of the system.
	variables specifies the names and values of the variables in the state-space model. name is a name this VI uses to define the variable 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 variable names beginning with E in such cases. initial guess is the initial guess of the numeric value this VI associates with the variable. upper limit specifies the upper limit to use to search for the optimal value of each variable. The default is Inf. lower limit specifies the lower limit to use to search for the optimal value of each variable. The default is –Inf.
	constants specifies the names and values of the constants in the state-space model. name specifies a name this VI uses to define the constant of the system model. Constant names can be a combination of letters and numbers. A constant name that begins with a capital letter E can produce unpredictable errors if parts of the original string represent numbers like 1E–2. Avoid variable names beginning with E in such cases. value specifies the numeric value this VI associates with the constant.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	sampling rate (Hz) is the signal sampling rate in hertz. The value of sampling rate must be greater than 0.
	symbolic initial state is the symbolic representation of the initial state.
	system model out returns information about the model structure, nominal or estimated parameters, identification result, and so on.
	error out contains error information. This output provides standard error out functionality.

SI Create Partially Known State-Space Model (Discrete MISO)

	symbolic K specifies the symbolic representation of the Kalman gain. If symbolic K is not provided, the estimated state-space model contains only the deterministic part of the system.
	symbolic state-space specifies the matrices of a state-space model in symbolic representation. 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 that relates the inputs to the states of the system. symbolic C is the symbolic representation of the output matrix that relates the outputs to the states of the system. symbolic D is the symbolic representation of the transmission matrix that relates the inputs to the outputs of the system.
	variables specifies the names and values of the variables in the state-space model. name is a name this VI uses to define the variable 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 variable names beginning with E in such cases. initial guess is the initial guess of the numeric value this VI associates with the variable. upper limit specifies the upper limit to use to search for the optimal value of each variable. The default is Inf. lower limit specifies the lower limit to use to search for the optimal value of each variable. The default is –Inf.
	constants specifies the names and values of the constants in the state-space model. name specifies a name this VI uses to define the constant of the system model. Constant names can be a combination of letters and numbers. A constant name that begins with a capital letter E can produce unpredictable errors if parts of the original string represent numbers like 1E–2. Avoid variable names beginning with E in such cases. value specifies the numeric value this VI associates with the constant.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	sampling rate (Hz) is the signal sampling rate in hertz. The value of sampling rate must be greater than 0.
	symbolic initial state is the symbolic representation of the initial state.
	system model out returns information about the model structure, nominal or estimated parameters, identification result, and so on.
	error out contains error information. This output provides standard error out functionality.

SI Create Partially Known State-Space Model (Discrete MIMO)

	symbolic K is the symbolic representation of the Kalman gain. If symbolic K is not provided, the estimated state-space model contains only the deterministic part of the system.
	symbolic state-space specifies the matrices of a state-space model in symbolic representation. 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 that relates the inputs to the states of the system. symbolic C is the symbolic representation of the output matrix that relates the outputs to the states of the system. symbolic D is the symbolic representation of the transmission matrix that relates the inputs to the outputs of the system.
	variables specifies the names and values of the variables in the state-space model. name is a name this VI uses to define the variable 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 variable names beginning with E in such cases. initial guess is the initial guess of the numeric value this VI associates with the variable. upper limit specifies the upper limit to use to search for the optimal value of each variable. The default is Inf. lower limit specifies the lower limit to use to search for the optimal value of each variable. The default is –Inf.
	constants specifies the names and values of the constants in the state-space model. name specifies a name this VI uses to define the constant of the system model. Constant names can be a combination of letters and numbers. A constant name that begins with a capital letter E can produce unpredictable errors if parts of the original string represent numbers like 1E–2. Avoid variable names beginning with E in such cases. value specifies the numeric value this VI associates with the constant.
	error in describes error conditions that occur before this node runs. This input provides standard error in functionality.
	sampling rate (Hz) is the signal sampling rate in hertz. The value of sampling rate must be greater than 0.
	symbolic initial state is the symbolic representation of the initial state.
	system model out returns information about the model structure, nominal or estimated parameters, identification result, and so on.
	error out contains error information. This output provides standard error out functionality.

Examples

Refer to the following VIs for examples of using the SI Create Partially Known State-Space Model VI:

• Continuous State-Space Model of an RLC Circuit VI: labview\examples\System Identification\Getting Started\Grey-Box Model.llb
• Belt-driven Motion System (Greybox) VI: labview\examples\System Identification\Industry Applications\Mechanical Systems.llb