SI Create Partially Known Continuous Transfer Function Model VI
- Updated2023-03-14
- 12 minute(s) read
SI Create Partially Known Continuous Transfer Function Model VI
Owning Palette: Partially Known Model Estimation VIs
Requires: Advanced Signal Processing Toolkit or Control Design and Simulation Module
Creates a continuous transfer function model for a partially known system. Use the SI Estimate Partially Known Continuous Transfer Function Model VI to estimate the model you create with this VI. You must manually select the polymorphic instance to use.
SI Create Partially Known Continuous Transfer Function Model (1st Order)

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delay (s) specifies the delay, in seconds, of the continuous transfer function model.
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static gain specifies the static gain of the continuous transfer function model.
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Tp (s) specifies the time constant, in seconds, of the continuous transfer function model.
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error in describes error conditions that occur before this node runs. This input provides standard error in functionality. | ||||||
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system model out contains information of the mathematical model of a partially known system. The information includes model type, model orders, constraints on each model coefficient, input and output names of the system, and so on. | ||||||
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error out contains error information. This output provides standard error out functionality. |
SI Create Partially Known Continuous Transfer Function Model (2nd Order)

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delay (s) specifies the delay, in seconds, of the continuous transfer function model.
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static gain specifies the static gain of the continuous transfer function model.
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natural freq (rad/s) specifies the natural frequency, in radians per second, of the continuous transfer function model.
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damping ratio specifies the damping ratio of the continuous transfer function model.
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error in describes error conditions that occur before this node runs. This input provides standard error in functionality. | ||||||
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system model out contains information of the mathematical model of a partially known system. The information includes model type, model orders, constraints on each model coefficient, input and output names of the system, and so on. | ||||||
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error out contains error information. This output provides standard error out functionality. |
SI Create Partially Known Continuous Transfer Function Model (General)

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delay (s) specifies the delay, in seconds, of the continuous transfer function model.
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orders of transfer function model specifies the numerator and denominator orders of the transfer function model.
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static gain specifies the static gain of the continuous transfer function model.
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# of zeros/poles at origin specifies the number of zeros or poles at the origin. You can specify the number of either zeros or poles, but you cannot have both zeros and poles at the origin.
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error in describes error conditions that occur before this node runs. This input provides standard error in functionality. | ||||||||||||
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Tp (s) specifies the time constant(s), in seconds, of the continuous transfer function model.
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natural freq (rad/s) & damping ratio specifies the natural frequency(s) and the damping ratio(s) of the continuous transfer function model.
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system model out contains information of the mathematical model of a partially known system. The information includes model type, model orders, constraints on each model coefficient, input and output names of the system, and so on. | ||||||||||||
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error out contains error information. This output provides standard error out functionality. |
SI Create Partially Known Continuous Transfer Function Model Details
The following equations represent first-order, second-order, and general models, respectively.
First-order models: 
Second-order models: 
General models: 
| where | K is the transfer function gain |
| Td is the delay | |
| Tp is the first-order time constant | |
| r is the damping ratio | |
| w is the natural frequency |
If a system has zeros at the origin, you can use general models to represent the system using the following equation:

You must select the zeros input of the # of zeros/poles at origin parameter and specify the number of zeros in the number input.
If a system has poles at the origin, you can use general models to represent the system using the following equation:

You must select the poles input of the # of zeros/poles at origin parameter and specify the number of poles in the number input.
Examples
Refer to the following VIs for examples of using the SI Create Partially Known Continuous Transfer Function Model VI:
- Continuous Transfer Function Model of a DC Motor with Known Gain VI: labview\examples\System Identification\Getting Started\Grey-Box Model.llb
- Ball and Beam VI: labview\examples\System Identification\Industry Applications\Mechanical Systems.llb







