Functions -- By Category

Contents

Data Processing

 fit             - Model fit [%].
 idmultisine     - Generation of a Multi Sine Signal.
 idprbs          - Generation of a Pseudo-Random Binary Signal (PRBS).
 pec             - Prediction error cost.
 sigscale        - Scaling of identifications signals.
 snr             - Signal to Noise Ratio (SNR).
 vaf             - Variance Accounted For [%].

LTI Model Identification

 abc2idss        - Create IDSS model structure.
 abcd2idss       - Create IDSS model structure.
 abcdk2idss      - Create IDSS model structure.
 abck2idss       - Create IDSS model structure.
 dmodx           - Closed-loop LTI system identification using the PBSIDopt method.
 dordfir         - Open-loop LTI system identification using the PBSIDopt method.
 dordvarmax      - Closed-loop LTI system identification using the PBSIDopt method.
 dordvarx        - Closed-loop LTI system identification using the PBSIDopt method.
 dvar2eig        - Eigenvalues and its covariance estimation.
 dvar2frd        - System and its covariance estimation in frequency domain.
 dvar4abcdk      - Asymptotic variance of the PBSIDopt (VARX only) estimation.
 dvar4abck       - Asymptotic variance of the PBSIDopt (VARX only) estimation.
 dvar4varx       - Asymptotic variance of the VARX estimation.
 dx2abc          - Estimates the matrices A, B, and C of the state space model.
 dx2abcd         - Estimates the matrices A, B, C, and D of the state space model.
 dx2abcdk        - Estimates the matrices A, B, C, D, and K of the state space model.
 dx2abck         - Estimates the matrices A, B, C, and K of the state space model.
 spaavf          - Spectral analysis with frequency averaging.

Hammerstein/Wiener Model Identification

 hmodx           - Closed-loop Hammerstein system identification using the PBSIDopt method.
 hordvarx        - Closed-loop Hammerstein system identification using the PBSIDopt method.
 hwmodx          - Closed-loop Hammerstein-Wiener system identification using the PBSIDopt method.
 hwordvarx       - Closed-loop Hammerstein-Wiener system identification using the PBSIDopt method.
 hwx2abcdk       - Estimates the matrices A, B, C, D, and K of the state space model.
 hwx2abck        - Estimates the matrices A, B, C, and K of the state space model.
 hx2abcdk        - Estimates the matrices A, B, C, D, and K of the state space model.
 hx2abck         - Estimates the matrices A, B, C, and K of the state space model.
 wmodx           - Closed-loop Wiener system identification using the PBSIDopt method.
 wordvarx        - Closed-loop Wiener system identification using the PBSIDopt method.
 wx2abcdk        - Estimates the matrices A, B, C, D, and K of the state space model.
 wx2abck         - Estimates the matrices A, B, C, and K of the state space model.

LPV Model Identification

 lmodx           - Closed-loop LPV system identification using the PBSIDopt method.
 lordvarx        - Closed-loop LPV system identification using the PBSIDopt method.
 lpv2ltv         - Transforms a LPV system matrices to a LTV system matrices.
 lx2abcdk        - Estimates the matrices A, B, C, D, and K of the state space model.
 lx2abck         - Estimates the matrices A, B, C, and K of the state space model.

Periodic-LPV Model Identification

 plpv2ltv        - Transforms a PLPV system matrices to a LTV system matrices.
 pmodx           - Closed-loop PLPV system identification using the PBSIDopt method.
 pordvarx        - Closed-loop PLPV system identification using the PBSIDopt method.
 pschedclust     - Periodic clustering of scheduling sequence
 px2abcdk        - Estimates the matrices A, B, C, D, and K of the state space model.
 px2abck         - Estimates the matrices A, B, C, and K of the state space model.

Recursive-LTI Model Identification

 rpbsid          - Recursive Predictor-Based Subspace Identification.

Plot Functions

 dbode           - Bode diagram.
 dbodemag        - Bode diagram (magnitude only).
 dbodemagpatch   - Bode diagram with given error bounds (magnitude only).
 dbodemagsd      - Bode diagram with probalistic error bounds (magnitude only).
 dbodepatch      - Bode diagram with given error bounds.
 dbodesd         - Bode diagram with probalistic error bounds.
 deigen          - Eigenvalues plot.
 deigensd        - Eigenvalues plot with probalistic error bounds.
 dnyquist        - Nyquist diagram.
 dnyquistdet     - Nyquist diagram (det(G)).
 dnyquistdetsd   - Nyquist diagram with probalistic error bounds (det(G)).
 dnyquistsd      - Nyquist diagram with probalistic error bounds.

IDAFFLPV Model Functions

 bodemag         - Mae a Bode magnitude plot for the IDAFFLPV model
 c2d             - Continuous-to-discrete conversion of state-space models.
 d2d             - Discrete-to-continuous conversion of state-space models.
 findstates      - Estimate initial states of the model for a given data set.
 idafflpv2idss   - Convert IDAFFLPV model to multiple IDSS models.
 idafflpv2ss     - Convert IDAFFLPV model to multiple SS models.
 idafflpv        - Construct an IDAFFLPV model structure.
 idss2idafflpvA  - Convert single IDSS model to IDAFFLPV (constant A) model.
 idafflpvA2idss  - Convert IDAFFLPV (constant A) model to single IDSS model.
 iosize          - Returns I/O size of dynamical systems.
 isct            - True for continuous-time IDAFFLPV models.
 isdt            - True for discrete-time IDAFFLPV models.
 isempty         - True for empty IDAFFLPV models.
 isstatic        - Returns TRUE if model is a pure gain.
 issiso          - True for SISO IDAFFLPV models.
 order           - Computes order of IDAFFLPV models
 pe              - Computes the prediction errors of an IDAFFLPV.
 pem             - Computes the prediction error estimate of an IDAFFLPV.
 predict         - Linear response simulation of affine LPV state-space predictor.
 predstab        - Assess stability of the predictor form of the IDAFFLPV model.
 resid           - Compute the residuals associated with an IDAFFLPV.
 sim             - Linear response simulation of affine LPV state-space model.
 size            - Size of affine LPV state-space system.
 ssdata          - Returns state-space matrices for IDAFFLPV models.