DocumentCode :
164962
Title :
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
Link To Document :
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