Automatica, Vol.34, No.9, 1101-1117, 1998
Rational basis functions for robust identification from frequency and time-domain measurements
This paper investigates the use of general bases with fixed poles for the purposes of robust estimation. These bases, which generalise the common FIR, Laguerre and two-parameter Kautz ones, are shown to be Fundamental in the disc algebra provided a very mild condition on the choice of poles is satisfied. It is also shown that, by using a min-max criterion, these bases lead to robust estimators for which error bounds in different norms can be explicitly quantified. The key idea facilitating this analysis is to re-parameterise the chosen model structures into a new one with equivalent fixed poles, but for which the basis functions are orthonormal in H-2(D).
Keywords:WORST-CASE IDENTIFICATION;GENERALIZED ORTHONORMAL BASIS;CASESYSTEM-IDENTIFICATION;H-INFINITY-IDENTIFICATION;ERROR-BOUNDS;NONLINEAR ALGORITHMS;SAMPLE COMPLEXITY;INTERPOLATION;VALIDATION;SPACES