Nonlinear Grey-Box Models
Estimate coefficients of nonlinear differential, difference and state-space equations
Funzioni
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 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 | Obtain model parameters and associated uncertainty data |
setpvec | Modify values of model parameters |
sim | Simulate response of identified model |
nlgreyestOptions | Option set for nlgreyest |
findstatesOptions | Option set for findstates |
simOptions | Option set for sim |
Esempi e istruzioni
- 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.
Concetti
- Linear and Nonlinear Grey-Box Modeling
If you understand the physics of your system, you can estimate linear or nonlinear grey-box models.
- Data Supported by Grey-Box Models
- Choosing idgrey or idnlgrey Model Object