<?xml version="1.0" encoding="UTF-8"?>
<record>
  <title>Identification of a Fractional Order Model by a Least Squares Technique: Hn Model</title>
  <journal>Progress in Computing Applications</journal>
  <author>Abir KHADHRAOUI, Khaled JELASSI, Jean-Claude TRIGEASSOU</author>
  <volume>2</volume>
  <issue>2</issue>
  <year>2013</year>
  <doi></doi>
  <url>http://www.dline.info/pca/fulltext/v2n2/5.pdf</url>
  <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.</abstract>
</record>
