Comparison of identification techniques for fractional models

Author

Jalloul, Abdelhamid ; Jelassi, Khaled ; Melchior, Pierre ; Trigeassou, Jean-Claude

Author_Institution

Lab. des Syst. Electriques (LSE), Ecole Nat. d´´Ing. de Tunis, Tunis, Tunisia

fYear

2011

fDate

22-25 March 2011

Firstpage

1

Lastpage

6

Abstract

A comparative study of methods for fractional system identification is presented in this paper. The fractional system is modeled by the help of a non integer integrator which is approximated by a J+1 dimensional modal system composed of an integrator and first order systems. This identification method is compared to other techniques available in the Matlab toolbox. The model parameters are estimated by an output-error technique using a non linear iterative optimization algorithm. Numerical simulations show the performance of the modal approach for modeling and identification.

Keywords

identification; integration; iterative methods; nonlinear programming; J+1 dimensional modal system; Matlab toolbox; fractional models; fractional system identification techniques; noninteger integrator; nonlinear iterative optimization algorithm; numerical simulations; output-error technique; Biological system modeling; Estimation; Frequency domain analysis; Mathematical model; Numerical models; Optimization; Sensitivity; Fractional systems; fractional integrator; non integer identification; output error identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Signals and Devices (SSD), 2011 8th International Multi-Conference on

Conference_Location

Sousse

Print_ISBN

978-1-4577-0413-0

Type

conf

DOI

10.1109/SSD.2011.5767364

Filename

5767364