Title :
Non-asymptotic fractional order differentiators via an algebraic parametric method
Author :
Da-Yan Liu ; Gibaru, Olivier ; Perruquetti, W.
Author_Institution :
Math. & Comput. Sci. & Eng. Div., King Abdullah Univ. of Sci. & Technol. (KAUST), Thuwal, Saudi Arabia
Abstract :
Recently, Mboup, Join and Fliess [27], [28] introduced non-asymptotic integer order differentiators by using an algebraic parametric estimation method [7], [8]. In this paper, in order to obtain non-asymptotic fractional order differentiators we apply this algebraic parametric method to truncated expansions of fractional Taylor series based on the Jumarie´s modified Riemann-Liouville derivative [14]. Exact and simple formulae for these differentiators are given where a sliding integration window of a noisy signal involving Jacobi polynomials is used without complex mathematical deduction. The efficiency and the stability with respect to corrupting noises of the proposed fractional order differentiators are shown in numerical simulations.
Keywords :
algebra; parameter estimation; signal processing; Jacobi polynomials; algebraic parametric estimation method; fractional Taylor series; modified Riemann-Liouville derivative; noisy signal; nonasymptotic fractional order differentiators; nonasymptotic integer order differentiators; numerical simulations; sliding integration window;
Conference_Titel :
Systems and Computer Science (ICSCS), 2012 1st International Conference on
Conference_Location :
Lille
Print_ISBN :
978-1-4673-0673-7
Electronic_ISBN :
978-1-4673-0672-0
DOI :
10.1109/IConSCS.2012.6502445