Title :
Rational basis functions for robust identification from frequency and time domain measurements
Author :
Akçay, Hüseyin ; Ninness, Brett
Author_Institution :
Res. & Dev. Center, Arcelik AS, Istanbul, Turkey
Abstract :
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
Keywords :
error analysis; frequency-domain analysis; identification; minimax techniques; poles and zeros; time-domain analysis; disc algebra; error analysis; frequency domain analysis; identification; min-max method; poles; rational basis functions; robustness; time domain analysis; worst case analysis; Algebra; Educational institutions; Error analysis; Estimation error; Finite impulse response filter; Frequency domain analysis; Frequency estimation; Frequency measurement; Robustness; Time measurement;
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-4530-4
DOI :
10.1109/ACC.1998.703274