Identification in the Frequency Domain
نویسنده
چکیده
This article reviews techniques to identify the frequency domain properties of linear and nonlinear systems from measured physical input/output data. Practical spectral analysis procedures are discussed that are valid with random data to predict the frequency response functions in single-input/single-output (SI/SO) linear models and in multipleinput/single-output (MI/SO) linear models. Special procedures are discussed for five types of nonlinear system model: Volterra nonlinear models, Hammerstein nonlinear models, Wiener nonlinear models, SI/SO nonlinear models, and models with nonlinear feedback.
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