DocumentCode :
3416234
Title :
Advances in fractional model identification
Author :
Djamah, Tounsia ; Djennoune, Said ; Bettayeb, M.
Author_Institution :
Lab. de Conception et Conduite des Syst. de Production (L2CSP), Univ. M. Mammeri of Tizi Ouzou, Tizi Ouzou, Algeria
fYear :
2013
fDate :
29-31 Oct. 2013
Firstpage :
590
Lastpage :
595
Abstract :
This paper presents an overview and the recent advances of the time domain system identification using fractional models. The main methods are presented and commented for the linear, non-linear and multivariable fractional order systems.
Keywords :
identification; linear systems; multivariable control systems; nonlinear control systems; time-domain analysis; fractional model identification; linear fractional order system; multivariable fractional order system; nonlinear fractional order system; time domain system identification; Adaptation models; Biological neural networks; Computational modeling; Equations; Mathematical model; Numerical models; Sensitivity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Control (ICSC), 2013 3rd International Conference on
Conference_Location :
Algiers
Print_ISBN :
978-1-4799-0273-6
Type :
conf
DOI :
10.1109/ICoSC.2013.6750921
Filename :
6750921
Link To Document :
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