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Nonlinear Grey-Box Models

Estimate coefficients of nonlinear differential, difference and state-space equations

Functions

nlgreyestEstimate nonlinear grey-box model parameters
idnlgreyNonlinear grey-box model
pemPrediction error estimate for linear and nonlinear model
findstatesEstimate initial states of model
initSet or randomize initial parameter values
getinitValues of idnlgrey model initial states
setinitSet initial states of idnlgrey model object
getparParameter values and properties of idnlgrey model parameters
setparSet initial parameter values of idnlgrey model object
getpvecModel parameters and associated uncertainty data
setpvecModify value of model parameters
simSimulate response of identified model
nlgreyestOptionsOption set for nlgreyest
findstatesOptionsOption set for findstates
simOptionsOption set for sim

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

This example shows how to 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 and idnlgrey model objects for representing grey-box model objects.

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