Indirect approach for closed-loop system identification with fractional models

Author

Yakoub, Z. ; Chetoui, M. ; Amairi, M. ; Aoun, M.

Author_Institution

Nat. Res. Unit MACS 06/UR/11-12, Univ. of Gabes, Gabes, Tunisia

fYear

2014

fDate

23-25 June 2014

Firstpage

1

Lastpage

6

Abstract

This paper deals with fractional closed-loop system identification using the indirect approach. Firstly, all differentiation orders are supposed known and only the coefficients of the closed-loop fractional transfer function are estimated using two methods based on least squares techniques. Then, the fractional open-loop process is determined by the knowledge of the regulator. A numerical example is presented to show the effectiveness of the proposed scheme.

Keywords

closed loop systems; differentiation; least squares approximations; open loop systems; transfer functions; closed-loop fractional transfer function; differentiation orders; fractional closed-loop system identification; fractional models; fractional open-loop process; least squares techniques; regulator knowledge; Closed loop systems; Equations; Mathematical model; Regulators; Signal to noise ratio; Transfer functions; Vectors; Closed-loop; fractional calculus; identification; least squares; state variable filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Fractional Differentiation and Its Applications (ICFDA), 2014 International Conference on

Conference_Location

Catania

Type

conf

DOI

10.1109/ICFDA.2014.6967441

Filename

6967441