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