In this paper algorithms for fitting transfer functions to frequency response data are developed. Given a complex vector representing the measured frequency response of a physical system, a transfer function of specified order is determined that minimizes either of the following criteria: (1) the sum of the magnitude-squared of the frequency response errors, and (2) the magnitude of the maximum error. Both of these criteria are nonlinear in the coefficients of the unknown transfer function, and iterative minimization algorithms are proposed. A numerical example demonstrates the effectiveness of the proposed algorithms.
Algorithms for l2 and l-infinity transfer function curve fitting
AIAA Guidance, Navigation and Control Conference ; 1991 ; New Orleans, LA, United States
1991-01-01
Aufsatz (Konferenz)
Keine Angabe
Englisch
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