A Variable Regularized Recursive Subspace Model Identification Algorithm With Extended Instrumental Variable and Variable Forgetting Factor

A Variable Regularized Recursive Subspace Model Identification Algorithm With Extended Instrumental Variable and Variable Forgetting Factor

This paper proposes a new smoothly clipped absolute deviation (SCAD) regularized recursive subspace model identification algorithm with square root(SR) extended instrumental variable (EIV) and locally optimal variable forgetting factor (LOFF). The proposed algorithm is based on a new local polynomia...

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Bibliographic Details
Main Authors: Jian-Qiang Lin, Shing-Chow Chan, Hai-Jun Tan
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Recursive subspace model identification (RSI)
variable forgetting factor (VFF)
SCAD regularization
extended instrumental variable (EIV)
local polynomial modeling (LPM)
model order estimation
Online Access:https://ieeexplore.ieee.org/document/9031792/

Internet

https://ieeexplore.ieee.org/document/9031792/

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