CoChat
Sign Up
Cited by 34Control Systems and IdentificationAdvanced Adaptive Filtering TechniquesStatistical and numerical algorithms

An improved method for Wiener–Hammerstein system identification based on the Fractional Approach

Giordano, Giuseppe, Gros, Sébastien, Sjöberg, Jonas·2018·Automatica
DOI 10.1016/j.automatica.2018.04.046
Open this paper in CoChat — free account

Integrity signals

Registry

Crossref · 10.1016/j.automatica.2018.04.046

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Giordano et al. [23] developed a technique for identification of the fractional Wiener-Hammerstein type nonlinear system using Taylor series expansion that can avoid issues related to some configuration of poles and zeros of the linear part.

    “Later, Giordano et al. [23] developed a technique for identification of the fractional Wiener-Hammerstein type nonlinear system using Taylor series expansion that can avoid issues related to some configuration of poles and zeros of the linear part.”

    From Application of Fractional Calculus for Parameter Estimation of Nonlinear Wiener Systems With Time Delay (2024) · cites this paper as [23]

Cited by

Sorted by citations

Authors
Giordano, G., Gros, S., & Sjöberg, J.
Affiliations
Chalmers University of Technology (SE)
Corresponding author
Giordano, Giuseppe
ORCID
Venue
Automatica
Publisher
Elsevier BV
Published
2018-08
Volume
94
Pages
349-360
ISSN
0005-1098 (ISSN-L)
DOI
10.1016/j.automatica.2018.04.046
OpenAlex
W2807461146
Cited by
34
References
0
Citations by year
2025: 3 · 2024: 4 · 2023: 2 · 2022: 6 · 2021: 5 · 2020: 12 · 2019: 2
FWCI
2.94
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Automatica (publishedVersion)
  • Chalmers Research (Chalmers University of Technology) (submittedVersion)
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
  • Physical Sciences › Engineering › Computational Mechanics › Advanced Adaptive Filtering Techniques
  • Physical Sciences › Mathematics › Applied Mathematics › Statistical and numerical algorithms
Keywords
Wiener-Hammerstein systems, system identification, static nonlinearity, ill-conditioning, identifiability, regularization, frequency-domain estimation

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review