Abstract

A robust technique is presented for parametric identification of linear time-invariant systems in the time domain. Based on a Sanathanan-Koerner iteration, the transfer function coefficients are calculated iteratively by minimizing a weighted linear cost function. The time-domain equivalent of the Muntz-Laguerre basis is used to improve the numerical conditioning of the associated system equations. It is shown that the method is computationally efficient, and able to fit highly dynamic responses.

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