TY - GEN
T1 - Fractional order differentiation by integration: An application to fractional linear systems
AU - Liu, Dayan
AU - Laleg-Kirati, Taous-Meriem
AU - Gibaru, O.
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2013/2/24
Y1 - 2013/2/24
N2 - In this article, we propose a robust method to compute the output of a fractional linear system defined through a linear fractional differential equation (FDE) with time-varying coefficients, where the input can be noisy. We firstly introduce an estimator of the fractional derivative of an unknown signal, which is defined by an integral formula obtained by calculating the fractional derivative of a truncated Jacobi polynomial series expansion. We then approximate the FDE by applying to each fractional derivative this formal algebraic integral estimator. Consequently, the fractional derivatives of the solution are applied on the used Jacobi polynomials and then we need to identify the unknown coefficients of the truncated series expansion of the solution. Modulating functions method is used to estimate these coefficients by solving a linear system issued from the approximated FDE and some initial conditions. A numerical result is given to confirm the reliability of the proposed method. © 2013 IFAC.
AB - In this article, we propose a robust method to compute the output of a fractional linear system defined through a linear fractional differential equation (FDE) with time-varying coefficients, where the input can be noisy. We firstly introduce an estimator of the fractional derivative of an unknown signal, which is defined by an integral formula obtained by calculating the fractional derivative of a truncated Jacobi polynomial series expansion. We then approximate the FDE by applying to each fractional derivative this formal algebraic integral estimator. Consequently, the fractional derivatives of the solution are applied on the used Jacobi polynomials and then we need to identify the unknown coefficients of the truncated series expansion of the solution. Modulating functions method is used to estimate these coefficients by solving a linear system issued from the approximated FDE and some initial conditions. A numerical result is given to confirm the reliability of the proposed method. © 2013 IFAC.
UR - http://hdl.handle.net/10754/565865
UR - https://linkinghub.elsevier.com/retrieve/pii/S147466701534893X
UR - http://www.scopus.com/inward/record.url?scp=84881083991&partnerID=8YFLogxK
U2 - 10.3182/20130204-3-FR-4032.00208
DO - 10.3182/20130204-3-FR-4032.00208
M3 - Conference contribution
SN - 9783902823274
SP - 653
EP - 658
BT - IFAC Proceedings Volumes
PB - Elsevier BV
ER -