Algerian Journal of Signals and Systems

Algerian Journal of Signals and Systems

Real-time fractional order system identification using recursive least squares method

Yazarlar: Walid TOUIL, Samir LADACI, Abdelhafid CHAABI

Cilt 5 , Sayı 2 , 2020 , Sayfalar 138-141

Konular:-

DOI:10.51485/ajss.v5i2.108

Anahtar Kelimeler:Fractional order system,Identification system,Recursive least squares (RLS) technique,Charef approximation method,Grünwald numerical approximation

Özet: In this paper, we address the problem of fractional order systems real-time identification based on recursive least squares technique. The fractional order model is approximated using the Charef Singularity function method and Grünwald numerical approximation for fractional order integral and derivative. We show by numerical simulation example that the identified model represents the original system efficiently.

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@article{2020, title={Real-time fractional order system identification using recursive least squares method}, volume={5}, number={138–141}, publisher={Algerian Journal of Signals and Systems}, author={Walid TOUIL, Samir LADACI, Abdelhafid CHAABI}, year={2020} }
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Walid TOUIL, Samir LADACI, Abdelhafid CHAABI. (2020). Real-time fractional order system identification using recursive least squares method (Vol. 5). Vol. 5. Algerian Journal of Signals and Systems.
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Walid TOUIL, Samir LADACI, Abdelhafid CHAABI. Real-Time Fractional Order System Identification Using Recursive Least Squares Method. no. 138–141, Algerian Journal of Signals and Systems, 2020.
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