DocumentCode :
3478688
Title :
Identification of resonant systems using Kautz filters
Author :
Wahlberg, Bo
Author_Institution :
Dept. of Electr. Eng., Linkoping Univ., Sweden
fYear :
1991
fDate :
11-13 Dec 1991
Firstpage :
2005
Abstract :
It is pointed out that by approximating the impulse response of a linear time-invariant stable system by a finite sum of given exponentials, the problem of estimating the transfer function is considerably simplified. The author shows how the complexity can be reduced further by using orthogonalized exponentials. The analysis is based on the result that the corresponding normal equations will then have a Toeplitz structure. The z-transform of orthogonalized exponentials corresponds to discrete Kautz functions, which generalize discrete Laguerre functions to the several, possibly complex, poles case. Hence, by appropriate choice of time constants Kautz models give low-order useful approximations of many systems of interest. In particular, resonant systems can be well approximated using Kautz models with complex poles. Several basic results on transfer function estimation are extended to discrete Kautz models
Keywords :
Z transforms; filtering and prediction theory; identification; poles and zeros; transfer functions; Kautz filters; Kautz models; Toeplitz structure; complex poles; discrete Laguerre functions; identification; impulse response; linear time-invariant stable system; orthogonalized exponentials; resonant systems; transfer function estimation; z-transform; Additives; Equations; Filters; Finite impulse response filter; Frequency domain analysis; Frequency estimation; Least squares approximation; Linear regression; Resonance; Stochastic systems; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1991., Proceedings of the 30th IEEE Conference on
Conference_Location :
Brighton
Print_ISBN :
0-7803-0450-0
Type :
conf
DOI :
10.1109/CDC.1991.261769
Filename :
261769
Link To Document :
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