Functions -- Alphabetical List
abc2idss - Create IDSS model structure.
abcd2idss - Create IDSS model structure.
abcdk2idss - Create IDSS model structure.
abck2idss - Create IDSS model structure.
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.
dmodx - Closed-loop LTI system identification using the PBSIDopt method.
dnyquist - Nyquist diagram.
dnyquistdet - Nyquist diagram (det(G)).
dnyquistdetsd - Nyquist diagram with probalistic error bounds (det(G)).
dnyquistsd - Nyquist diagram with probalistic error bounds.
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.
ex24algorithm - Calls the Tensor Nuclear Norm LPV identification method.
fit - Model fit [
generate_data_ex24 - Generates the data for example 24.
getblkalpha24 - pads block-diagonally.
getKex24 - obtains a matrix K.
getZbari_split24 - tailored reshape function.
getZdual24 - obtains dual data tensor.
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.
idmultisine - Generation of a Multi Sine Signal.
idprbs - Generation of a Pseudo-Random Binary Signal (PRBS).
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.
matricize24 - matricizes.
pec - Prediction error cost.
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.
predstab - Assess stability of the predictor form of the IDAFFLPV model.
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.
rpbsid - Recursive Predictor-Based Subspace Identification
sigscale - Scaling of identifications signals
snr - Signal to Noise Ratio (SNR)
spaavf - Spectral analysis with frequency averaging.
vaf - Variance Accounted For [
vectorize24 - vectorizes.
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.