Publications

@conference{Chetoui201990,

title = {Instrumental variables based methods for linear systems identification with fractional models in the EIV context},

author = {M. Chetoui and M. Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075640184\&doi=10.1109%2fSSD.2019.8893265\&partnerID=40\&md5=2f59e71847ca98f45a7d71b9b46a627d},

doi = {10.1109/SSD.2019.8893265},

isbn = {9781728118208},

year  = {2019},

date = {2019-01-01},

journal = {16th International Multi-Conference on Systems, Signals and Devices, SSD 2019},

pages = {90-95},

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

abstract = {In this paper a new instrumental variables methods based on the Higher-Order-Statistics (fourth order cumulants) are developed for continuous-time system identification with fractional models in the errors in variables context. The fractional orders are supposed known a priori and only the linear coefficients are estimated. The developed algorithms are compared to a fractional fourth order cumulants based least squares algorithm. Their performances are tested through a numerical example in two cases: white and colored noises affecting the input and the output measurements. © 2019 IEEE.},

note = {cited By 6},

keywords = {Continuous time systems; Image segmentation; Linear systems, Continuous-time; Fourth-order cumulants; Fractional differentiation; Instrumental variables; Least Square; State-variable filters, Higher order statistics},

pubstate = {published},

tppubtype = {conference}

}