Please use this identifier to cite or link to this item: https://doi.org/10.1109/78.506601
Title: Transfer function identification with filtering techniques
Authors: Farhang-Boroujeny, B. 
Tay, T.-T. 
Issue Date: 1996
Source: Farhang-Boroujeny, B., Tay, T.-T. (1996). Transfer function identification with filtering techniques. IEEE Transactions on Signal Processing 44 (6) : 1334-1345. ScholarBank@NUS Repository. https://doi.org/10.1109/78.506601
Abstract: This paper addresses the problem of identifying the transfer function of a plant with the aid of filtering techniques. Conditions for obtaining fair estimates of a transfer function are derived. It is shown that, to be able to reduce the effect of noise and other stochastic effects, highly tuned filters are required. It is also found that proper excitation signals are necessary for effective implementation of the proposed scheme. Some methods for designing the required highly tuned filters are proposed. The relationship between the proposed scheme and existing methods is discussed. It is shown that for some specific cases the proposed scheme is, in effect, a computationally efficient implementation of existing methods. However, for some other cases the proposed scheme gives more accurate results. The theoretical predictions are substantiated with computer simulations. © 1996 IEEE.
Source Title: IEEE Transactions on Signal Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/62890
ISSN: 1053587X
DOI: 10.1109/78.506601
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