Identification of a Fractional Order Model by a Least Squares Technique: Hn Model
Abir KHADHRAOUI, Khaled JELASSI, Jean-Claude TRIGEASSOU
Progress in Computing Applications, Vol. 2, No. 2, 2013.
DOI: 
Link: http://www.dline.info/pca/fulltext/v2n2/5.pdf
Abstract:
We report on fractional modeling and identification of non-integer systems by least squares method (LS). A new approach to identify fractional differentials equations (FDE) is proposed. Such a technique presents a linear model to estimate system parameters, as well as non-integer orders from temporal data (Hn model). The identified parameters provide original solution to the Output Error method initialization (OE), and demonstrate validity and effectiveness of the proposed approach.