System Identification Toolbox
Description
- Overview and Key Features
- Identifying Models from Data
- Identifying Linear Models
- Identifying Nonlinear Models
- Estimating Parameters in User-Defined Models
- Modeling Time-Series Data
Estimating Parameters in User-Defined Models
A user-defined (grey-box) model is a set of differential or difference equations with some unknown parameters. If you understand the physics of your system and can represent the system as a grey-box model, System Identification Toolbox lets you specify the model structure and estimate its parameters using nonlinear optimization techniques. For linear models you can explicitly specify the structure of state-space matrices and impose constraints on identified parameters. You can specify differential equations as MATLAB, C, or Fortran code.
