System Modeling Based on System Identification Toolbox in Matlab
Dong Hai-rui
Abstract
Dong Hai-rui
Abstract
The function in system identification toolbox of Matlab mainly includes parametric or nonparametric model identification, model validation, regressive parameter estimation, model class definition and conversion, and graphic interface. So, based on the toolbox, the system was established models. The main steps include data collection, data preprocess, model structure selection, parameters estimation, model validation and dynamic simulation, etc.
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The function in system identification toolbox of Matlab mainly includes parametric or nonparametric model identification, model validation, regressive parameter estimation, model class definition and conversion, and graphic interface. So, based on the toolbox, the system was established models. The main steps include data collection, data preprocess, model structure selection, parameters estimation, model validation and dynamic simulation, etc.
Key concepts: Toolbox, MATLAB, Identification (biology), System identification, Computer science, Nonparametric statistics, Parametric model, Parametric statistics