Paper Info
Title
Fourth-order cumulants based method for continuous-time EIV fractional model identification
Abstract
The errors-in-variables (EIV) system identification problem concerns the dynamic systems whose discrete input and output are corrupted by additive noises, that can be white, colored and/or mutually correlated. In this paper, a new estimator based on Higher-Order Statistics (fourth-order cumulants) is proposed for continuous-time system identification with fractional models. Under some assumptions on the distributional properties of the noise and noisefree signals, the fractional fourth-order cumulants based least squares (ffocls) estimator gives consistent results. A numerical example illustrates the performance of the proposed method.
Year
DOI
Venue
2013
10.1109/SSD.2013.6564119
Systems, Signals & Devices
Keywords
DocType
ISBN
continuous time systems,higher order statistics,identification,least squares approximations,time-varying systems,white noise,eiv system identification problem,additive noises,colored noise,continuous-time eiv fractional model identification,continuous-time system identification,dynamic systems,errors-in-variables,ffocls estimator,fractional fourth-order cumulants based least squares,fractional models,higher-order statistics,noise distributional properties,noisefree signals,continuous-time,fourth-order cumulants,fractional differentiation,system identification,transfer functions,vectors,mathematical model,errors in variables,gaussian noise,noise measurement
Conference
978-1-4673-6458-4
Citations 
PageRank 
References 
0
0.34
8
Authors
7
Name
Order
Citations
PageRank
Manel Chetoui183.49
rachid malti200.34
magalie thomassin300.34
s najar431.15
mouna aoun500.34
Mohamed Naceur Abdelkrim67028.78
Alain Oustaloup720342.62