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Cited by 14Control Systems and IdentificationAdvanced Control Systems DesignMetaheuristic Optimization Algorithms Research

Fuzzy-weighted differential evolution computing paradigm for fractional order nonlinear wiener systems

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Mehmood, Ammara, Raja, Muhammad Asif Zahoor·2022·Chaos, Solitons & Fractals
DOI 10.1016/j.chaos.2022.112160
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Crossref · 10.1016/j.chaos.2022.112160

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1 of 1 references verified0 citation errors · 0 not checkable

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  • Fuzzy-weighted differential evolution [31] was proposed for identification of time-delay fractional-order Wiener system, whereby linear subsystem was considered with commensurate fractional orders.

    “The fuzzy-weighted differential evolution [31] was proposed for the identification of time-delay fractional-order Wiener system, whereby linear subsystem was considered with the commensurate fractional orders.”

    From Application of Fractional Calculus for Parameter Estimation of Nonlinear Wiener Systems With Time Delay (2024) · cites this paper as [31]

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Authors
Mehmood, A., & Raja, M. A. Z.
Affiliations
  • Kyungpook National University (KR)
  • National Yunlin University of Science and Technology (TW)
Corresponding author
Raja, Muhammad Asif Zahoor
ORCID
Venue
Chaos, Solitons & Fractals
Publisher
Elsevier BV
Published
2022-06
Volume
159
Pages
112160
ISSN
0960-0779 (ISSN-L)
DOI
10.1016/j.chaos.2022.112160
OpenAlex
W4280504545
Cited by
14
References
1
Citations by year
2026: 1 · 2025: 2 · 2024: 4 · 2023: 5 · 2022: 2
FWCI
1.22
Type
journal article
Language
en
Open access
Licence
Locations
  • Chaos Solitons & Fractals (publishedVersion)
  • SSRN Electronic Journal (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
  • Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Design
  • Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
Keywords
parameter estimation, Grünwald-Letnikov fractional derivative, noisy environments, mean squared error

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