Title :
Identification of a fractional order model by a least squares technique: Hn1, n2 model
Author :
Khadhraoui, Abir ; Jelassi, Khaled ; Trigeassou, Jean-Claude
Abstract :
The present study deals with fractional modeling and identification of non-integer systems by least squares method (LS). Identification of fractional differentials equations (FDE) is investigated when estimating system parameters by a linear model with respect to parameters, as well as non-integer orders from temporal data (Hn1, n2 model). Estimated parameters by LS method will be used for initialization of Output Error method (OE). Numerical simulations show the performance of the modal approach for modeling and identification.
Keywords :
differential equations; least mean squares methods; FDE; Hn1,n2 model; LS; OE; fractional differentials equations; fractional order model Identification; least squares technique; noninteger orders; noninteger systems; output error method; temporal data; Computational modeling; Computers; Differential equations; Least squares methods; Mathematical model; Noise measurement; Numerical models;
Conference_Titel :
Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2013 14th International Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4799-2953-5
DOI :
10.1109/STA.2013.6783172