Publications

@conference{Salem2016640,

title = {Instrumental variable based methods for continuous-time linear parameter varying system identification with fractional models},

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

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84986183506\&doi=10.1109%2fMED.2016.7536043\&partnerID=40\&md5=42b2e04961aef2ea329989e32a842690},

doi = {10.1109/MED.2016.7536043},

isbn = {9781467383455},

year  = {2016},

date = {2016-01-01},

journal = {24th Mediterranean Conference on Control and Automation, MED 2016},

pages = {640-645},

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

abstract = {This paper deals with continuous-time linear parameter varying (LPV) system identification with fractional models. Two variants of instrumental variables based techniques are proposed to estimate continuous-time parameters of a fractional differential equation linear parameter varying model when all fractional orders are assumed known a priori: the first one is the instrumental variables estimator based in an auxiliary model. The second one is the simplified refined instrumental variables estimator. A comparison study between the developed estimators is done via a numerical example. A Monte Carlo simulation analysis results are presented to illustrate the performances of the proposed methods in the presence of an additive output noise. © 2016 IEEE.},

note = {cited By 9},

keywords = {Continuous time systems; Differential equations; Estimation; Identification (control systems); Intelligent systems; Linear systems; Monte Carlo methods; Religious buildings, Continuous-time; Fractional differential equations; Fractional differentiation; Instrumental variables; Linear parameter varying models; Linear parameter varying systems; LPV systems; Refined instrumental variables, Parameter estimation},

pubstate = {published},

tppubtype = {conference}

}