Error Codes (System Identification)
- Updated2023-02-21
- 6 minute(s) read
The System Identification VIs can return the following error codes. Refer to the KnowledgeBase for more information about correcting errors in LabVIEW.
Code | Description |
---|---|
−41353 | Failed to get a valid model type. Specify different orders and try again. If this error occurs again, try other estimation methods instead. |
−41352 | Invalid input signals. Ensure the input signals are step signals and step response signals. |
−41351 | The input signal length is too short for estimation. Ensure the length is more than 20. If the input signal contains an initial part, ensure the length of the initial part is more than five. |
−41342 | The system model must be a discrete model. |
−41341 | The system model must be a continuous model. |
−41333 | The orders of the estimated transfer function model are not consistent with the orders you specified. You must adjust the tolerance setting to reduce estimated model orders. |
−41332 | The order of the denominator in the transfer function must be greater than zero. |
−41331 | The System Identification VIs do not convert the static gain into the transfer function gain. |
−41329 | The number of states is too large. Either increase the length of the input data or decrease the number of states. |
−41328 | The dimensions of the A, B, C, D, and K coefficients in the state-space model are inconsistent. |
−41327 | The D coefficients in the state-space model must not be empty. |
−41326 | The C coefficients in the state-space model must not be empty. |
−41325 | The B coefficients in the state-space model must not be empty. |
−41324 | The A coefficients in the state-space model must not be empty. |
−41323 | The size of the Kalman gain matrix must equal [number of states] x [number of input channels]. |
−41322 | The dimension of initial states must equal the number of states. |
−41321 | The number of states of the state-space model must be greater than zero. |
−41319 | The poles in the zero-pole-gain model cannot be empty. |
−41318 | The zeros in the zero-pole-gain model cannot be empty. |
−41317 | The initial guess of the time constant and the damping ratio for the second-order subsystem must be both NaN or both a positive value. |
−41316 | The order of the numerator in the transfer function model must be less than or equal to the order of the denominator in the model. |
−41315 | The numerator coefficients in the transfer function model cannot be empty. |
−41314 | The denominator coefficients in the transfer function model cannot be empty. |
−41312 | The order of the numerator in the transfer function model must be greater than or equal to zero. |
−41311 | The order of the denominator in the transfer function model must be greater than or equal to zero. |
−41306 | The dimensions of the A, B, F, C, and D coefficients in the linear model are inconsistent. |
−41305 | The F coefficients in the linear model cannot be empty. |
−41304 | The D coefficients in the linear model cannot be empty. |
−41303 | The C coefficients in the linear model cannot be empty. |
−41302 | The B coefficients in the linear model cannot be empty. |
−41301 | The A coefficients in the linear model cannot be empty. |
−41293 | The initial guess of delay(s) is invalid. The guess must be NaN or a positive value. |
−41292 | The number of delays does not match the number of input signals. |
−41291 | The final order must be greater than the initial order. |
−41290 | The number of orders does not match the number of signal channels. |
−41289 | The delay in the linear model must be greater than or equal to zero. |
−41288 | The delay in the linear model must be greater than zero. |
−41287 | The order of the F coefficients in the linear model must be greater than or equal to zero. |
−41286 | The order of D coefficients in the linear model must be greater than or equal to zero. |
−41285 | The order of the C coefficients in the linear model must be greater than or equal to zero. |
−41284 | The order of the B coefficients in the linear model must be greater than or equal to zero. |
−41283 | The order of the B coefficients in the linear model must be greater than zero. |
−41282 | The order of the A coefficients in the linear model must be greater than or equal to zero. |
−41281 | The order of the A coefficients in the linear model must be greater than zero. |
−41264 | The model coefficients are invalid. |
−41263 | The System Identification VIs cannot retrieve the data in system model because the model type you wire in is incompatible with the system model requirements. |
−41262 | The model orders are inconsistent with the dimensions of the model coefficients. |
−41261 | The system model is undefined. |
−41235 | The lower limit you specified for the parameters is invalid. |
−41234 | The values you specified do not match the upper and lower limits. |
−41233 | The total number of poles must be less than the denominator order of the transfer function model. The total number of poles includes poles at the origin and poles in the first-order and second-order subsystems. |
−41232 | The number of zeros at the origin must be less than the numerator order of the transfer function model. |
−41231 | The number of zeros or poles you specify must be greater than or equal to zero. |
−41225 | The length of the response signal that the user-defined VI generates is different from the length of the stimulus signal. |
−41224 | The length of FRF weight must be equal to the lengths of the components of FRF magnitude and FRF phase |
−41223 | The frequency components of FRF magnitude and FRF phase must be the same. The elements of the frequency components must be nonnegative and in ascending order. |
−41222 | The lengths of the components of FRF magnitude and FRF phase must be greater than zero and equal to each other. |
−41221 | The impulse response length you specify must be greater than or equal to zero. |
−41220 | The coefficients of the discrete controller must not be empty. |
−41219 | The stimulus and response signals and the estimated model do not have the same sampling rate. |
−41218 | The block size must be greater than 100. |
−41217 | The number of signal channels you use for estimation and validation must be equal. |
−41216 | The data index to select missing data is out of range. |
−41215 | The confidence factor must be greater than zero. |
−41214 | The selected channel is out of range. |
−41213 | The sampling rate you specified is negative or zero, or the sampling rate of the stimulus signal and response signal does not match each other. |
−41212 | The prediction step cannot be zero. |
−41211 | The reference value must be greater than zero. |
−41210 | The reference matrix must be square matrix. The dimensions of the reference matrix do not match the number of coefficients of the system model. |
−41209 | The frequency range is invalid. |
−41208 | The dimensions of the noise variance matrix do not match the dimensions of the system model. |
−41207 | The number of noise channels does not match the system model requirements. |
−41206 | The number of signal channels does not match the system model requirements. |
−41205 | The number of frequency bins must be greater than zero. |
−41204 | The window length must be less than the signal length and greater than zero. |
−41203 | The values of piecewise points must be unique and in ascending order. |
−41202 | The decimation factor must be greater than one. |
−41201 | The signal length is too small for computation, or the stimulus and response signals are not of the same length. |
41201 | At least one of the signal inputs is empty. Most System Identification VIs have stimulus signal and response signal inputs. Some VIs require these two inputs to have the same length. Other VIs, such as the Data Preprocessing VIs, allow the stimulus signal or the response signal to be ignored. If a VI does not require the two inputs to have the same length, this warning occurs when the stimulus signal or the response signal is empty. |
41202 | The denominator order is too high for the transfer function model, which might result in an inaccurate estimation. |
41203 | The numerator order is too high for the transfer function model, which might result in an inaccurate estimation. |