nlgreyest | Estimate nonlinear grey-box model parameters |
idnlgrey | Nonlinear grey-box model |
pem | Prediction error estimate for linear and nonlinear model |
findstates | Estimate initial states of model |
init | Set or randomize initial parameter values |
getinit | Values of idnlgrey model initial
states |
setinit | Set initial states of idnlgrey model
object |
getpar | Parameter values and properties of idnlgrey model
parameters |
setpar | Set initial parameter values of idnlgrey model
object |
getpvec | Model parameters and associated uncertainty data |
setpvec | Modify value of model parameters |
sim | Simulate response of identified model |
nlgreyestOptions | Option set for nlgreyest |
findstatesOptions | Option set for findstates |
simOptions | Option set for sim |
Estimate Nonlinear Grey-Box Models
How to define and estimate nonlinear grey-box models at the command line.
This example shows how to write ODE files for nonlinear grey-box models as MATLAB and C MEX files.
Estimate Coefficients of ODEs to Fit Given Solution
Estimate model parameters using linear and nonlinear grey-box modeling.
Types of supported grey-box models.
Data Supported by Grey-Box Models
Types of supported data for estimating grey-box models.
Choosing idgrey or idnlgrey Model Object
Difference between idgrey
and idnlgrey
model
objects for representing grey-box model objects.