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Owning Class: modeling and prediction
Requires: MathScript RT Module
dstep(num, den, tf)
dstep(A, B, C, D, ui)
dstep(A, B, C, D, ui, tf)
[Y, X] = dstep(num, den, tf)
[Y, X] = dstep(A, B, C, D, ui)
[Y, X] = dstep(A, B, C, D, ui, tf)
[Y, X, T] = dstep(num, den, tf)
[Y, X, T] = dstep(A, B, C, D, ui)
[Y, X, T] = dstep(A, B, C, D, ui, tf)
Computes the step response of the discrete system model. You can use this function to return the step response of the model outputs. This function assumes the initial states of the model are zeros. If you do not request an output, this function plots the step response in the current plot window.
Name | Description |
---|---|
num | Specifies the numerator polynomial function of a transfer function equation. num is a real vector. |
den | Specifies the denominator polynomial function of a transfer function equation. den is a real vector. |
A | Specifies an n-by-n state matrix, where n is the number of model states. A is a real matrix. |
B | Specifies an m-by-n input matrix, where m is the number of model inputs. B is a real matrix. |
C | Specifies an r-by-n output matrix, where r is the number of model outputs. C is a real matrix. |
D | Specifies an r-by-m direct transmission matrix. D is a real matrix. |
ui | Specifies the index number of the model. The default is 1. |
tf | Specifies the final time for the impulse response. |
Name | Description |
---|---|
Y | Returns the time response of the outputs of the model due to the step input. Y is a real matrix. |
X | Returns the time response of the states of the model due to the step input. X is a real matrix. |
T | Returns the uniformly spaced time vector this function uses to calculate the step response and the state trajectories. T is a real vector. |
The following table lists the support characteristics of this function.
Supported in the LabVIEW Run-Time Engine | Yes (if you request output) |
Supported on RT targets | Yes (if you request output) |
Suitable for bounded execution times on RT | Not characterized |
num = 1;
den = [1, 1];
dstep(num, den, 16)
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