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State-Space Models

State-space models with free, canonical, and structured parameterizations; equivalent ARMAX and OE models

Functions

ssest Estimate state-space model using time or frequency domain data
ssregest Estimate state-space model by reduction of regularized ARX model
n4sid Estimate state-space model using a subspace method.
idss State-space model with identifiable parameters
pem Prediction error estimate for linear or nonlinear model
delayest Estimate time delay (dead time) from data
getpvec Model parameters and associated uncertainty data
setpvec Modify value of model parameters
getpar Obtain attributes such as values and bounds of linear model parameters
setpar Set attributes such as values and bounds of linear model parameters
ssform Quick configuration of state-space model structure
init Set or randomize initial parameter values
idpar Create parameter for initial states and input level estimation
idssdata State-space data of identified system
findstates(idParametric) Estimate initial states of identified linear state-space model from data
ssestOptions Option set for ssest
ssregestOptions Options set for ssregest
n4sidOptions Option set for n4sid

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