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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Identification of fractional-order transfer functions using exponentially modulated signals with arbitrary excitation waveforms

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Author(s):
Harrop Galvao, Roberto Kawakami [1] ; Minhoto Teixeira, Marcelo Carvalho [2] ; Assuncao, Edvaldo [2] ; Paiva, Henrique Mohallem [3] ; Hadjiloucas, Sillas [4]
Total Authors: 5
Affiliation:
[1] Inst Tecnol Aeronaut ITA, Dept Elect Engn, Sao Jose Dos Campos, SP - Brazil
[2] Sao Paulo State Univ UNESP, Dept Elect Engn, Ilha Solteira, SP - Brazil
[3] Univ Fed Sao Paulo UNIFESP, Inst Sci & Technol, Sao Jose Dos Campos, SP - Brazil
[4] Univ Reading, Sch Biol Sci, Dept Biomed Engn, Reading RG6 6AY, Berks - England
Total Affiliations: 4
Document type: Journal article
Source: ISA TRANSACTIONS; v. 103, p. 10-18, AUG 2020.
Web of Science Citations: 0
Abstract

This paper proposes a new identification method based on an exponential modulation scheme for the determination of the coefficients and exponents of a fractional-order transfer function. The proposed approach has a broader scope of application compared to a previous method based on step response data, in that it allows for the use of arbitrary input signals. Moreover, it dispenses with the need for repeated simulations during the search for the best fractional exponents, which significantly reduces the computational workload involved in the identification process. Two examples involving measurement noise at the observed system output are presented to illustrate the effectiveness of the proposed method when compared to a conventional output-error optimization approach based on the polytope algorithm. In both examples, the proposed method is found to provide a better trade-off between computational workload and accuracy of the parameter estimates for different realizations of the noise. Crown Copyright (C) 2020 Published by Elsevier Ltd on behalf of ISA. All rights reserved. (AU)

FAPESP's process: 11/13777-8 - Time domain terahertz spectroscopy: development of analytical methods, signal processing techniques, biochemical and fundamental studies
Grantee:Celio Pasquini
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 11/17610-0 - Monitoring and control of dynamic systems subject to faults
Grantee:Roberto Kawakami Harrop Galvão
Support Opportunities: Research Projects - Thematic Grants