Parametric System Identification on Logarithmic Frequency Response Data

  title={Parametric System Identification on Logarithmic Frequency Response Data},
  author={Michael D. Sidman and Franco E. DeAngelis and George C. Verghese},
  journal={1990 American Control Conference},
Gradient search methods that fit the parameters of a user-defined transfer function model to experimental Logarithmic frequency response data are presented. The methods match a model based on physically significant parameters, including natural frequencies of poles and zeroes and damping ratios of complex poles and zeroes. The algorithms construct and utilize their own analytical gradient descent functions, based on the desired model. One method attempts to fit both log magnitude and phase… CONTINUE READING
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