Publications

@conference{Yakoub2015,

title = {A direct fractional order bias eliminated least squares method for the fractional closed-loop system identification},

author = {Z. Yakoub and M. Chetoui and M. Amairi and M. Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962688308\&doi=10.1109%2fSSD.2015.7348219\&partnerID=40\&md5=1523b25860bd1afff62b4ced5a164cdd},

doi = {10.1109/SSD.2015.7348219},

isbn = {9781479917587},

year  = {2015},

date = {2015-01-01},

journal = {12th International Multi-Conference on Systems, Signals and Devices, SSD 2015},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {The paper deals with the continuous-time fractional closed-loop system identification in a noisy output context. Both coefficients and fractional orders of the process are estimated using the direct approach. The proposed method is based on the least squares technique and the state variable filter. It is an extension of the bias eliminated least squares method to the fractional systems. It is combined to a nonlinear optimization algorithm in order to estimate both coefficients and fractional orders of the fractional process. A numerical example is presented to illustrate the performances of the proposed methods. © 2015 IEEE.},

note = {cited By 2},

keywords = {Algorithms; Closed loop systems; Continuous time systems; Identification (control systems); Nonlinear programming; Numerical methods; Optimization; Religious buildings, Closed loops; Continuous-time; Direct approach; Fractional differentiation; Least Square; State-variable filters, Least squares approximations},

pubstate = {published},

tppubtype = {conference}

}