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. fit - Model fit [%]. 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. 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 [%] 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.