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

`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**

This example shows how to 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.