Engineers apply parameter estimation to dynamic models to compute:
Coefficients of transfer functions, including ARX, ARMAX, Box-Jenkins, and output-error models
Entries in state-space matrices
Coefficients of ODEs or well-structured systems with parameter constraints (grey-box system identification).
Regression coefficients, saturation levels, or dead-zone limits for nonlinear dynamic systems, including nonlinear ARX and Hammerstein-Wi.ener
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Parameter estimation is the process of computing a model’s parameter values from measured data. You can apply parameter estimation to different types of mathematical models, including statistical models, parametric dynamic models, and data-based Simulink® models
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