Control Design Toolkit Error Codes
The Control Design VIs can return the following error codes. Refer to the KnowledgeBase for more information about correcting errors in LabVIEW.
| Code | Description |
|---|---|
| −41705 | The parallel interconnection with a transfer function model must have the same transport delay. |
| −41704 | The number of inputs of the first model is not equal to the number of outputs of the second model. The number of inputs (columns) of Model 1 is not equal to the number of outputs (rows) of Model 2. |
| −41703 | The denominator cannot equal zero. The denominator of the transfer function cannot equal zero. |
| −41702 | At least one delay is less than zero. |
| −41701 | The denominator must have one element. You did not specify the denominator in the transfer function. There must be at least one element in the denominator. |
| −41700 | The numerator must have one element. You did not specify the numerator in the transfer function. There must be at least one element in the numerator. |
| −41699 | Matrix R not provided. Matrix R not provided. |
| −41698 | The dimension of w is not consistent with the dimensions of the stochastic state-space model. The dimension of w is not consistent with the dimensions of the stochastic state-space model. |
| −41697 | The dimension of v is not consistent with the dimensions of the stochastic state-space model. The dimension of v is not consistent with the dimensions of the stochastic state-space model. |
| −41695 | The cross-covariance matrix is not valid. The cross-covariance matrix is not valid. The compound auto-covariance and cross-covariance matrices must be positive semi-definite. |
| −41693 | The dimension of E{w} is not proper. The dimension of E{w} is not proper. The dimension of E{v} must equal the number of states. |
| −41692 | The dimensions of the covariance matrix are improper. The dimensions of the covariance matrix are improper. |
| −41691 | The covariance matrix is not positive semi-definite. The covariance matrix is not positive semi-definite. |
| −41690 | N is not valid. N is not valid. The matrix [Q N; N' R] must be positive semi-definite. |
| −41687 | The R matrix is not positive definite. The R matrix is not positive definite. |
| −41685 | The Q matrix is not symmetric. The Q matrix is not symmetric. |
| −41684 | The covariance matrix is not symmetric. The covariance matrix is not symmetric. |
| −41681 | Gain rows not equal to number of outputs The number of rows of the gain do not equal the number of outputs of the system model. |
| −41680 | Gain columns are not equal to number of inputs. The number of columns of the gain do not equal the number of inputs of the system. |
| −41679 | The system model does not have an input. |
| −41678 | The index specified in the input, output, or state vector is greater than the maximum system dimension. |
| −41677 | Matrix D not provided. You did not provide the required system model matrix D. |
| −41676 | Matrix C not provided. You did not provide the required system matrix C. |
| −41675 | Matrix B not provided. You did not provide the required system matrix B. |
| −41674 | Matrix A not provided. You did not provide the required system matrix A. |
| −41673 | Different number of columns for matrices R and Q in the Lyapunov equation. The number of columns for matrices R and Q must be identical in the Lyapunov equation. |
| −41672 | Different number of rows for matrices P and Q in the Lyapunov equation. The number of rows for matrices P and Q must be identical in the Lyapunov equation. |
| −41671 | Matrix R is not square in the Lyapunov equation. |
| −41670 | Matrix P is not square in the Lyapunov equation. |
| −41669 | Ackermann valid for single-output only. Ackermann is valid for single-output system models only. For Observer Gain, C must have one row. |
| −41668 | The system model is not single-output. |
| −41667 | The system model is not single-input. |
| −41666 | The number of rows in D is not equal to the number of outputs. |
| −41665 | The number of columns in D is not equal to the number of inputs |
| −41664 | The number of columns in the regulator gain K does not equal the number of states. |
| −41663 | The number of row in the regulator gain K does not equal the number of inputs. |
| −41662 | N rows not equal to Nw. The number of rows in N is not equal to the dimension of the noise vector w (Nw). |
| −41661 | The number of columns in N is not equal to the number of outputs. |
| −41660 | The dimensions of R are not equal to number of outputs in the system model. |
| −41659 | The number of rows in N is not equal to number of outputs. The number of rows in N is the number of outputs when output weighting. |
| −41658 | A is ill-conditioned. You cannot calculate its inverse. |
| −41657 | The system model is marginally stable. Calculations require a stable system model. |
| −41656 | The system model is not stable Calculations require a stable system model. |
| −41655 | The system model is not controllable or observable. The pair [A B] or [A C] is not controllable or observable. |
| −41654 | The number of rows in H is not equal to the number of outputs. |
| −41653 | The number of rows in G does not equal the number of states in the system model. |
| −41652 | G columns not equal to H columns. The number of columns in G and H must be equal. |
| −41651 | The dimensions of Q is not equal to the dimension of the process noise. The dimensions of matrix Q must be square with dimensions identical to the dimension of the noise vector w. |
| −41650 | The dimensions of Q do not equal the number of outputs. Matrix Q must be square with a dimension equal to the number of outputs. |
| −41649 | Compound noise matrix is not positive semi-definite. The compound noise covariance matrix, [G O; H I]*[Q N; N' R]*[G O; H I], is not positive semi-definite. |
| −41637 | The dimensions of Q are not equal to the dimensions of A, which also are the number of states. The dimensions of Q are not equal to the dimensions of A, which also are the number of states. |
| −41636 | The number of columns in C is not equal to number of states. |
| −41635 | Matrix A is not square. The matrix A must be square. |
| −41634 | The system model is not controllable. The system model is not controllable so you cannot calculate the matrix transformation T. |
| −41633 | The number of closed-loop poles does not equal the number of columns in matrix A. |
| −41632 | Ackermann valid for single-input only Ackermann is valid for single-input system models only. For controller gain, B must have one column. |
| −41631 | The number of rows in B is not equal to the dimensions of A, which also are the number of states. The number of rows in B is not equal to the dimensions of A, which also are the number of states. |
| −41630 | Not a complex conjugate pair. Complex closed-loop poles must be in conjugate pairs. |
| −41629 | Matrix Q not provided. You must specify the required matrix Q. |
| −41624 | The R matrix is not positive semi-definite. The R matrix is not positive semi-definite. |
| −41570 | The input frequency vector must be greater than zero. The input frequency vector must be greater than zero. |
| −41569 | The closed-loop transfer function cannot be calculated. The output Y is not a function of the input U when a feedback connection is implemented. Therefore, the closed-loop transfer function can not be calculated. |
| −41568 | The initial condition vector does not match the number of outputs in the system model. The number of elements in the initial condition vector does not match the number of outputs in the system model. |
| −41567 | The size of the time vector is too large. The given initial time (t0), final time (tf), or time step (dt) require the size of the time vector to be greater than the maximum allowable size. |
| −41566 | The initial frequency is greater than the final frequency. The initial frequency must be less than the final frequency. |
| −41565 | The initial gain must be less than the final gain. The initial gain you entered is greater than the final gain you entered. The initial gain must be less than the final gain. |
| −41564 | dB drop has to be negative. For a bandwidth calculation, the db drop has to be a negative number. |
| −41563 | The size of the frequencies vector and response vector is not equal. |
| −41562 | The interpolation frequency does not lie within the range of the frequencies. The interpolation frequency does not lie within the range of frequencies specified by the frequencies vector. |
| −41561 | The Gaussian White Noise matrix must have same rows as number of inputs to the system. The Gaussian White Noise matrix must have same rows as number of inputs to the system and be a positive semi-definite matrix. |
| −41560 | The system model has infinite covariance due to direct feedthrough. The system model has direct feed through, which means the matrix D is not zero. Continuous system models with direct feedthrough have infinite covariance. |
| −41559 | The state covariance matrix has negative eigenvalues. The covariance response is invalid because the state covariance matrix has negative eigenvalues. |
| −41558 | Number of applied inputs does not match with number of inputs in system model. The number of inputs applied to the system model does not equal the number of inputs in the system model. Columns of matrices B and D in a state-space model, or columns in transfer function or zero-pole-gain arrays must be equal to number of applied inputs. |
| −41557 | The number of initial states do not match the number of states of the system model. The number of initial states do not match the number of states (the dimensions of Matrix A) of the system model. |
| −41556 | All waveforms must have the same dt and t0. All the input waveforms must have the same sampling time, dt, and initial time, t0. |
| −41555 | The time step (dt) and sampling time of the discrete system model must be equal. |
| −41554 | The time step (dt) must be less than the final time (tf). |
| −41553 | The time Step (dt) must be greater than zero. |
| −41552 | The initial time (t0) must be greater than or equal to zero. |
| −41551 | The final time (tf) must be greater than the initial time (t0) |
| −41550 | Input system model must be a single-input single-output (SISO) model. |
| −41524 | Sampling time must be positive. The sampling time must be greater than zero. |
| −41523 | There is a repeated connection between interconnected models. |
| −41522 | The system model must be proper to perform this function. |
| −41521 | The system model has a delay. This VI does not support system models with delays. |
| −41520 | The system model has a transport delay. This VI does not support system models with transport delays. |
| −41519 | The system model has an output delay. This VI does not support system models with output delays. |
| −41518 | The system model has an input delay. This VI does not support system models with input delays. |
| −41517 | Not a second order system model. The system model must be a second order system model. |
| −41516 | The system model is not square. The number of inputs does not equal the number of outputs |
| −41515 | All variable names must begin with alphabetical letters. |
| −41514 | The sampling time for this transformation produces an ill-conditioned system model. |
| −41513 | The frequency must be greater than zero. |
| −41512 | The order of the polynomial must be larger than zero. |
| −41511 | The system model must be continuous. To use this VI, the sampling time of the system model must equal to zero. |
| −41510 | The system model must be discrete. To use this VI, the sampling time of the system model must not equal zero. |
| −41509 | The dimension of output delay vector does not equal the number of outputs of the system model. |
| −41508 | The dimension of the input delay does not equal the number of inputs of the system model. |
| −41507 | The dimensions of the input/output delay matrices must equal the number of inputs and outputs of the system model. |
| −41506 | The delay in the discrete system model must be an integer. The delay in discrete system model must be a integer multiple of the sampling time. |
| −41505 | The number of inputs or outputs exceeds the total inputs or outputs of system model. |
| −41504 | The number of outputs of the existing system model does not equal the number of outputs of the supplied system model. The number of outputs of the existing system model does not equal the number of outputs of the supplied system model. Dimensions of matrices C and D of each system model must be compatible. |
| −41503 | The number of inputs of the existing system model does not equal the number of inputs of the new system model. The number of inputs of the existing system model does not equal the number of inputs of the new system model. Dimensions of matrices B and D of each system model must be compatible. |
| −41502 | The number of states of the existing system model does not equal the number of states of the supplied system model. The number of states of the existing system model does not equal the number of states of the supplied system model. Dimensions of the matrix A of each model must be compatible. |
| −41501 | The system model is discrete. The input system model needs to be a continuous system so you can convert it into its discrete equivalent. However the input system model is already discrete. |
| −41500 | Sampling time cannot be negative. The sampling time must be greater than or equal to zero, but the value you supplied is negative. |
| 41500 | This VI does not support system models with delays. The delay information was ignored. |
| 41501 | The system model has a transport delay. This VI does not support system models with transport delays. The transport delay was ignored. |
| 41502 | The system model has an input delay. This VI does not support system models with input delays. The input delay was ignored. |
| 41503 | The system model has an output delay. This VI does not support system models with output delays. The output delay was ignored. |
| 41504 | The delay information was ignored. |
| 41505 | The system model is not proper. The order of the numerator polynomial is greater than the order of the denominator polynomial. |
| 41507 | Second connector ignored. The second connector is ignored as the second system model is undefined. |
| 41550 | Phase margin is infinite. The gain does not cross 0 dB, therefore phase margin is infinite. |
| 41551 | Gain margin is infinite. The phase does not cross -180 degrees, therefore the gain margin is infinite. |
| 41552 | Magnitude does not drop below given dB value. The bandwidth cannot be determined because the magnitude does not drop below the given dB value. |
| 41553 | The actual final time (tf) is different from the supplied value. The values of the time step (dt) and the initial time (t0) cause the actual value of final time (tf) to be different from the supplied value. |
| 41554 | The 2-norm is infinite since the system model is not stable |
| 41555 | The infinity norm is infinite because system model is marginally stable. The infinity norm is infinite because system is marginally stable . The continuous system model has poles on an imaginary axis, or the discrete system model has poles on the unit circle. |
| 41556 | Roots for large gain values were not plotted. The closed-loop roots for large gain values were not plotted on the graph. |
| 41557 | The final frequency was reduced to equal the Nyquist frequency of discrete system model. |
| 41558 | The given step time (dt) and vector size limitations caused a reduction in the final time from its ideal value. |
| 41559 | The time step (dt) is not ideal. The time step (dt) is not ideal because of the large final time needed to show the complete dynamics of response. |
| 41560 | Initial conditions were ignored. The outputs are linearly dependent. The matrix C of the system model is not full row rank. |
| 41561 | Initial conditions were ignored. Initial conditions were ignored because the system model is not strictly proper. |
| 41562 | The system model has infinite covariance due to direct feedthrough. The system model has direct feed through, which means the matrix D is not zero. Continuous system models with direct feedthrough have infinite covariance. |
| 41630 | The matrices Q and/or R are close to zero norm. |
| 41631 | The system model has no specified states. |
| 41632 | The system model has no specified inputs. |
| 41633 | The system model has no specified outputs. |
| 41634 | Measured outputs and known/manipulated inputs ignored. When in stand-alone configuration, the measured outputs, known inputs, and manipulated inputs are ignored. |
| 41729 | Removed residue from the denominator. The denominator was changed to one, because numerator is zero. |
| 41799 | Invalid inputs or outputs were ignored in producing the plots. The inputs or outputs/states that exceeded the total number of input or outputs/states of the system model were ignored in producing the plots. |