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    Selection of Modulating Functions’ Design Parameters for Estimation Problems

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    Name:
    Sens_Analy_Final.pdf
    Size:
    1.797Mb
    Format:
    PDF
    Description:
    Accepted manuscript
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    Type
    Article
    Authors
    Asiri, Sharefa M. cc
    Liu, Da-Yan
    Laleg-Kirati, Taous-Meriem cc
    KAUST Department
    Applied Mathematics and Computational Science Program
    Computational Bioscience Research Center (CBRC)
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Estimation, Modeling and ANalysis Group
    Date
    2020-06-10
    Online Publication Date
    2020-06-10
    Print Publication Date
    2021-01
    Permanent link to this record
    http://hdl.handle.net/10754/663526
    
    Metadata
    Show full item record
    Abstract
    In this paper, an effective algorithm for selecting the design parameters in the modulating functions-based method (MFBM) is introduced. The appropriate selection of these parameters improves the performance of the estimation approach and reduces the computational cost. The effectiveness and robustness of the algorithm are shown through numerical simulations in a noisy environment.
    Citation
    Asiri, S., Liu, D.-Y., & Laleg-Kirati, T.-M. (2020). Selection of Modulating Functions’ Design Parameters for Estimation Problems. IEEE Control Systems Letters, 1–1. doi:10.1109/lcsys.2020.3000849
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Control Systems Letters
    DOI
    10.1109/LCSYS.2020.3000849
    Additional Links
    https://ieeexplore.ieee.org/document/9113435/
    https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9113435
    ae974a485f413a2113503eed53cd6c53
    10.1109/LCSYS.2020.3000849
    Scopus Count
    Collections
    Articles; Applied Mathematics and Computational Science Program; Electrical and Computer Engineering Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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