Nonlinear Grey-Box Models
Estimate coefficients of nonlinear differential, difference and state-space equations
Functions
nlgreyest |
Estimate nonlinear grey-box model parameters |
idnlgrey |
Nonlinear grey-box model |
pem |
Prediction error minimization for refining linear and nonlinear models |
findstates |
Estimate initial states of model |
init |
Set or randomize initial parameter values |
getinit |
Values ofidnlgrey model initial states |
setinit |
Set initial states ofidnlgrey model object |
getpar |
Parameter values and properties ofidnlgrey model parameters |
setpar |
Set initial parameter values ofidnlgrey model object |
getpvec |
Obtain model parameters and associated uncertainty data |
setpvec |
Modify values of model parameters |
sim |
Simulate response of identified model |
nlgreyestOptions |
Option set fornlgreyest |
findstatesOptions |
Option set forfindstates |
simOptions |
Option set forsim |
Examples and How To
- Estimate Nonlinear Grey-Box Models
How to define and estimate nonlinear grey-box models at the command line.
- Creating IDNLGREY Model Files
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.
Concepts
- Supported Grey-Box Models
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
andidnlgrey
model objects for representing grey-box model objects.